# 🤖 Awesome AI Agents: Tools, Resources, and Projects
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Welcome to the **Ultimate Hub for AI Agents**, your one-stop destination for all things related to AI-driven agents. Whether you're a researcher, developer, or enthusiast, this repository brings together the most advanced tools, resources, and inspiring projects in the world of AI agents. 

This repository is a comprehensive hub for resources related to AI agents, providing a curated collection of tools, frameworks, datasets, and projects. It offers daily updates on the latest advancements in AI and machine learning agents. The resource includes extensive lists categorized by datasets, frameworks, LLM models, and prompt engineering techniques. Additionally, it features various tools and workflows to aid in the development and application of AI agents. Finally, the repository also lists relevant courses and encourages community contributions.

Here are some ways you can use this repository:

- **Explore** - Browse through the different sections to find tools, resources, and projects that match your interests and needs (e.g. to use, learn, or build agents).
- **Contribute** - Share your own projects, tools, or resources related to AI agents and contribute to the growing body of knowledge in this field.
- **Stay Updated** - Keep an eye on the latest developments and discussions about AI agents. Join the community to stay ahead of the curve.

Dive in, learn, collaborate, and build the next generation of AI agents.

⭐ **Don't forget to give this repository a star if you find it useful!**  

🎉 *Let's build a thriving AI agent ecosystem together!*

---

## 🎉 Upcoming Event: Agents Connect Conference

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### **Agents Connect: The All-Demo Conference**

Join us for the premier AI agent conference where innovators, investors, and users come together to shape the future of AI agents.

**🎉 FREE TO ATTEND - No registration fee required!**

**📅 Date:** Monday, December 15, 2025  
**⏰ Time:** 12:00 PM – 3:00 PM PST (America/Los_Angeles)  
**📍 Location:** Fully Virtual Event

**[👉 Sign up and learn more](https://agents.blog/agent-connect)**

</div>

**About the Conference:**

Agents Connect: The All-Demo Conference is where AI agent innovators come together to show, not tell. Watch live agent demos, research prototypes, and reverse pitches from investors. Then connect 1:1 with the people who matter.

This is a fully virtual event for 2025. In-person format coming in future years.

**What to Expect:**

• **Startup Showcase: Live Agent Demos** - Watch 5 selected startups demo their live autonomous agents in real-time

• **Research "Paper-to-Prototype" Demos** - See visual walkthroughs of multi-agent orchestration and new frameworks

• **The Reverse Pitch: Investors & Partners Demo Their Strategy** - VCs and corporate partners show how they work with you

• **Structured 1:1 Networking & Dealmaking** - Curated 1:1 connections with builders, investors, and users

**Who Should Attend:**

• **For Builders:** Pitch, demo, and get funded  
• **For Users:** Discover the next generation of AI agents  
• **For Investors:** Find the most promising AI agent startups

**[Sign up and learn more →](https://agents.blog/agent-connect)**

---

## Table of Contents
- [Using Agents](#using)
  - [Applications](#applications)
- [Learning Agents](#learning)
  - [Repositories](#repositories)
  - [Courses](#courses)
- [Building Agents](#building)
  - [Benchmarks](#benchmarks)
  - [Datasets](#datasets)
  - [Deployment](#deployment)
  - [Ethics](#ethics)
  - [Frameworks](#frameworks)
  - [LLM Models](#llm-models)
  - [Prompt Engineering](#prompt-engineering)
  - [Security](#security)
  - [Testing](#testing)
  - [Tools](#tools)
  - [Workflows](#workflows)
- [Contributing to this Repo](#contributing)
  - [Contributors](#contributors)
- [Spread the Word](#Spread-the-Word)
- [License](#license)

---
## Using

There are hundreds of new AI agent types popping up, each designed to tackle specific tasks or workflows. Here, you can find a curated list of existing AI agents that you can start using today to boost your productivity and streamline your daily life. Whether you're looking to automate repetitive tasks, get personalized recommendations, or generate creative content, there's an agent for you. 

Explore these tools and more to see how AI agents can simplify tasks, save time, and enhance creativity. With new agents emerging daily, this list is just the beginning of what's possible!

### Applications
Here are some AI agents that you can use right now to massively improve your productivity.

![](./assets/1.png)
![](./assets/2.png)
![](./assets/3.png)
![](./assets/4.png)

Below are some popular categories and examples of how AI agents can make an impact:

- **Ads AI Agents** - Automate and optimize ad campaigns using intelligent AI agents.  
- **Agentic IDE** - Integrated Development Environments tailored for building and managing AI agents.  
- **AI Agent Management Platform** - Centralized tools for deploying, monitoring, and managing AI agents.  
- **AI Agent Memory** - Enable agents to retain context and learn over time for improved interactions.  
- **AI Agents Frameworks** - Frameworks to simplify the development of robust AI agent systems.  
- **AI Agents Platform** - Platforms offering end-to-end solutions for creating and deploying AI agents.  
- **AI Avatar** - Personalized digital representations powered by AI for interactions.  
- **AI Docs Agents** - Agents specialized in document processing and content generation.  
- **AI Security** - Intelligent systems to enhance security through threat detection and prevention.  
- **AI Shopping Agents** - Assist shoppers with recommendations, searches, and purchasing.  
- **AI Video Agents** - Automate video creation, editing, and personalization with AI.  
- **Authentication Agents** - Secure identity verification and authentication processes with AI.  
- **Coding Agent** - AI agents designed to write and debug code efficiently.
- **Coding Assistant** - AI-powered tools to help developers with coding tasks and suggestions (e.g. [Cursor](https://www.cursor.com/)).
- **Coding Library** - Reusable AI-driven code libraries to speed up development.  
- **Content Creation** - AI tools for generating written, visual, and multimedia content.  
- **Customer Service** - AI agents designed to handle customer support and interactions (e.g. Sierra).
- **Data Analysis** - Analyze and interpret data using intelligent AI agents.  
- **Data Science** - AI-driven solutions for advanced data modeling and exploration.  
- **Desktop AI Agents** - AI agents designed to run locally on desktop systems for various tasks.  
- **Digital Workers** - Virtual agents that replicate human workflows in digital environments.  
- **Education AI Agents** - Tools to enhance learning experiences through personalized education.  
- **Email AI Agents** - Automate email organization, writing, and management with AI.  
- **Gaming Agents** - AI tools for game development or in-game interactive agents.  
- **Lead Generation AI Agent** - Automate lead discovery and qualification for sales pipelines.  
- **Marketing AI Agent** - Intelligent tools for creating and optimizing marketing campaigns.  
- **Model Serving** - Platforms and tools to deploy AI models for real-time use.  
- **Music AI Agents** - AI tools for composing, editing, or analyzing music (e.g. [suno](https://suno.ai)).  
- **Operations AI Agents** - Streamline business operations with AI-driven automation.  
- **Observability** - Monitor and analyze system performance with AI-powered insights.  
- **Personal Assistant** - AI assistants to manage personal schedules, tasks, and reminders.  
- **Productivity** - Tools designed to enhance productivity through AI automation.  
- **Recruiting AI Agents** - Streamline hiring processes with AI for screening and sourcing candidates.  
- **Research** - AI-driven tools to assist with academic, market, or technical research.  
- **Sales AI Agent** - Automate sales tasks like prospecting and client follow-ups with AI. 
- **Science Agents** - Read research papers and formulate hypotheses. 
- **Software Testing Agent** - AI tools for testing and validating software functionality.  
- **Tool Libraries** - Collections of tools to build, deploy, or manage AI systems.  
- **Translation AI Agents** - Automate language translation with context-aware AI agents.  
- **Travel AI Agent** - AI agents for planning, booking, and managing travel.  
- **WEB 3** - AI agents focused on decentralized applications and blockchain technologies.  
- **Web AI Agents** - Browser-based AI tools for a variety of applications.  
- **Web Scraping** - AI agents for extracting data from websites efficiently.  
- **Website Builder Agent** - AI-driven tools for creating and managing websites. 
- **Workflow** - Automate and streamline workflows using AI agents.  

Many more categories and types of agents are being built in 2025.

I encourage viewing [AgentsDirectory](https://aiagentsdirectory.com/) or [awesome_ai_agents](https://github.com/e2b-dev/awesome-ai-agents) (restrictive license on the repo) for a list of the most up-to-date agents that exist (where the photos above were taken from as on 01/01/2025).

---

## Learning
Here’s how you can grow your AI agent skills:  
- **For Beginners** - Start simple! Learn what AI agents are and how they work, step by step.  
- **For the Curious** - Get hands-on with tools and techniques to create your own functional agents.  
- **For the Bold** - Experiment with advanced topics like multi-agent systems and cutting-edge design.  

Don’t overthink it—just take the first step. 

### Repositories
There are many repositories to get started learning AI agents (thanks to [awesome-ai-agents](https://github.com/slavakurilyak/awesome-ai-agents) for the list):

- [01](https://changes.openinterpreter.com/log/introducing-the-01-developer-preview) - The '01 Project' by Open Interpreter is an open-source initiative focused on creating an ecosystem for AI devices, aiming to become the GNU/Linux in this domain, with details on its experimental status, software, hardware, and a speech-to-speech interface based on a code-interpreting language model for dynamic interactions [announcement](https://changes.openinterpreter.com/log/introducing-the-01-developer-preview) | [demo](https://twitter.com/OpenInterpreter/status/1770821439458840846) | [github](https://github.com/OpenInterpreter/01) | [website](http://openinterpreter.com/01) | [docs](https://01.openinterpreter.com/)
- [AGiXT](https://github.com/Josh-XT/AGiXT) - AGiXT is an advanced AI Automation Platform designed to enhance AI instruction management and task execution across various providers, incorporating features like adaptive memory, smart instruct, and a versatile plugin system to push the boundaries of AI technology towards achieving Artificial General Intelligence (AGI) [github](https://github.com/Josh-XT/AGiXT) | [website](https://agixt.com/)
- [AI Agent Assist by DialPad](https://www.dialpad.com/ai-labs/ai-agent-assist/) - Dialpad introduces Ai Agent Assist, offering real-time, Ai-powered answers to enhance customer service through deep integrations, reducing agent ramp time, and providing actionable insights with out-of-the-box productivity [landing page](https://www.dialpad.com/ai-labs/ai-agent-assist/)
- [AI Agent Crew](https://github.com/aibtcdev/ai-agent-crew) - Langchain and CrewAI have launched AI agents equipped with Bitcoin wallets, facilitating automated operations within a blockchain environment [github](https://github.com/aibtcdev/ai-agent-crew) | [github profile](https://github.com/aibtcdev) | [website](https://aibtc.dev/) | [discord](https://discord.gg/5DJaBrf)
- [AI Assistant by Deco](https://deco.cx/ai-assistant) - Deco provides a GPT-powered, multilingual AI Sales Assistant designed to personalize and automate the shopping experience, boost sales, and increase operational efficiency for online stores [website](https://deco.cx/ai-assistant) | [github profile](https://github.com/deco-cx)
- [AI Researcher](https://github.com/mshumer/ai-researcher) - The AI Researcher is an AI agent leveraging Claude 3 and SERPAPI for in-depth topic research, refining subtopic analyses into a comprehensive report, customizable and requiring API keys for functionality [github](https://github.com/mshumer/ai-researcher) | [announcement](https://twitter.com/i/web/status/1776341679617745126) | [website](https://app.hyperwriteai.com/personalassistant/tool/b40d5925-4780-4eed-9f69-a03ae931de37)
- [AI SDK by Vercel](https://vercel.com/blog/introducing-the-vercel-ai-sdk) - The Vercel AI SDK is an open-source library for creating AI-powered conversational interfaces, supporting multiple frameworks and languages, with built-in adapters for major AI services [announcement](https://vercel.com/blog/introducing-the-vercel-ai-sdk) | [website](https://sdk.vercel.ai/docs) | [github](https://github.com/vercel/ai) | [github examples](https://github.com/vercel/ai/tree/main/examples)
- [AI Studio by Azure](https://azure.microsoft.com/en-us/products/ai-studio) - Azure AI Studio offers a platform for developing generative AI applications and custom copilots, featuring prebuilt models, training capabilities, free Azure Cosmos DB access for 90 days, and built-in security with no extra charge during preview [website](https://azure.microsoft.com/en-us/products/ai-studio)
- [AIOS](https://github.com/agiresearch/AIOS) - AIOS by AGI Research is an LLM Agent Operating System which enables an operating system 'with soul' -- an important step towards AGI [github](https://github.com/agiresearch/AIOS) | [github profile](https://github.com/agiresearch)
- [Adala](https://github.com/HumanSignal/Adala) - Adala is a framework for autonomous data labeling agents, supporting Python 3.8 to 3.11, with features for customizable, intelligent data processing and integration into Python Notebooks [github](https://github.com/HumanSignal/Adala)
- [Agency Swarm by VRSEN](https://github.com/VRSEN/agency-swarm) - Agency Swarm is a framework designed to automate AI agencies by creating a swarm of collaborative agents with customizable roles and functionalities, aiming to simplify the agent creation process and make automation more intuitive [github](https://github.com/VRSEN/agency-swarm)
- [Agent Protocol](https://www.aie.foundation/) - The Agent Protocol establishes a unified API standard for seamless interaction and integration across diverse AI agents, promoting ecosystem growth and simplification of agent development and benchmarking [website](https://www.aie.foundation/) | [website](https://www.aie.foundation/) | [github](https://github.com/AI-Engineer-Foundation/agent-protocol) | [github profile](https://github.com/AI-Engineer-Foundation)
- [Agent Tools](https://github.com/aibtcdev/agent-tools-ts) - Typescript tools for Bitcoin/Stacks blockchain interaction, utilizing Bun.js and Stacks.js, with a focus on AI integration [github](https://github.com/aibtcdev/agent-tools-ts) | [github profile](https://github.com/aibtcdev) | [website](https://aibtc.dev/) | [discord](https://discord.gg/5DJaBrf)
- [Agent by Stately AI](https://github.com/statelyai/agent/) - Stately Agent is a software for building intelligent agents that interact via chat and events, with examples including joke generation, tic-tac-toe, and weather querying, requiring installation and an OpenAI API key [github](https://github.com/statelyai/agent/) | [website](https://stately.ai/agent) | [twitter](https://twitter.com/statelyai) | [discord](https://discord.gg/xstate) | [youtube](https://youtube.com/c/statelyai)
- [AgentBench](https://github.com/THUDM/AgentBench) - AgentBench v0.2 is a benchmark designed to evaluate Large Language Models as agents across a diverse set of environments, enhancing framework usability and extending model evaluations [github](https://github.com/THUDM/AgentBench)
- [AgentGPT by Reworkd](https://github.com/reworkd/AgentGPT) - AgentGPT allows users to configure and deploy autonomous AI agents, enabling them to name their own custom AI and guide it towards any desired goal through task execution and learning [github](https://github.com/reworkd/AgentGPT) | [github profile](https://github.com/reworkd)
- [AgentHive](https://agenthive.to) - AgentHive is a microblogging social network for AI agents, where agents register via API and interact through 280-character posts with support for replies, boosts, follows, search, and discovery. Built on Cloudflare Workers, it includes a TypeScript client library, MCP server, and GitHub Action for integration [website](https://agenthive.to) | [npm](https://www.npmjs.com/package/@superlowburn/hive-client)
- [AgentLabs](https://github.com/agentlabs-inc/agentlabs) - AgentLabs is an open-source, universal frontend solution for AI agents, offering an authentication portal, chat interface, analytics, and payment features to streamline the deployment of AI agents to public users [github](https://github.com/agentlabs-inc/agentlabs) | [website](https://www.agentlabs.dev/) | [docs](https://docs.agentlabs.dev/)
- [AgentOS](https://github.com/smartcomputer-ai/agent-os) - The Agent OS is an experimental platform for creating self-evolving, autonomous AI agents capable of writing and executing their own code, designed to be a long-term environment for such agents and supports various programming languages [github](https://github.com/smartcomputer-ai/agent-os)
- [AgentOps](https://github.com/AgentOps-AI/agentops) - AgentOps aims to improve AI agent development with tools for observability, evaluations, and replay analytics, offering a streamlined process for testing and debugging compliant AI agents through a user-friendly interface and comprehensive documentation [github](https://github.com/AgentOps-AI/agentops) | [website](https://www.agentops.ai/) | [docs](https://docs.agentops.ai) | [discord](https://discord.gg/mKW3ZhN9p2) | [demo](https://x.com/AlexReibman/status/1772771418780176674)
- [AgentVerse](https://github.com/OpenBMB/AgentVerse) - AgentVerse is an Apache2-licensed Python framework for deploying multiple LLM-based agents in various applications, offering task-solving and simulation frameworks for collaborative task accomplishment and behavior observation among agents [github](https://github.com/OpenBMB/AgentVerse) | [github profile](https://github.com/OpenBMB)
- [AgentX](https://chatagentx.com/) - AgentX is an AI-powered sales assistant designed to enhance sales strategies and efficiency through advanced features like a Memory Module and Online Mode, leveraging industry best practices for smarter selling [website](https://chatagentx.com/) | [twitter](https://twitter.com/agentxai) | [newsletter](https://buttondown.email/agentx)
- [Agentive](https://agentivehub.com/) - Agentive is a platform for AI Automation Agency owners, offering tools for creating, managing, and deploying custom AI solutions, with features like model selection, tool integration, prompt crafting, versioning, and training with own data, designed to simplify AI agent delivery [website](https://agentivehub.com/)
- [Agents by AI Waves](https://github.com/aiwaves-cn/agents) - Agents is an open-source framework for building autonomous language agents with features including long-short term memory, tool usage, web navigation, multi-agent communication, human-agent interaction, and symbolic control, allowing customization through natural language config files and deployment in various interfaces [github](https://github.com/aiwaves-cn/agents) | [github profile](https://github.com/aiwaves-cn)
- [Agents by Hugging Face](https://huggingface.co/docs/transformers/main_classes/agent) - Hugging Face's Transformers Agents provide three main types: HfAgent for inference with open-source models, LocalAgent for using local models and tokenizers, and OpenAiAgent for access to OpenAI's closed models, enabling code generation and other AI tasks with varying levels of customization and local or remote execution [website](https://huggingface.co/docs/transformers/main_classes/agent)
- [Agentsy](https://x.com/AnnieLiao_2000/status/1792175318595453046) - Agentsy is an AI-driven platform designed to double team capacity by enhancing efficiency and creativity, starting with operations use cases like real estate [demo](https://x.com/AnnieLiao_2000/status/1792175318595453046)
- [Aider](https://github.com/paul-gauthier/aider) - Aider is a command-line tool for AI-assisted pair programming, allowing code editing in local git repositories with GPT-3.5/GPT-4, featuring direct file edits, automatic git commits, and support for most popular programming languages [github](https://github.com/paul-gauthier/aider)
- [Autohand Code CLI](https://github.com/autohandai/code-cli) - Autohand Code CLI is a self-evolving autonomous coding agent for the terminal, using the ReAct pattern to reason about and modify entire codebases through natural language, with 40+ tools, multi-LLM support (OpenRouter, Anthropic, OpenAI, Ollama, local models), semantic code search, modular skill system, and VS Code/Zed integration [github](https://github.com/autohandai/code-cli) | [website](https://www.autohand.ai/code/)
- [AgentRun](https://github.com/Jonathan-Adly/AgentRun) - The easiest, and fastest way to run AI-generated Python code safely. [github](https://github.com/Jonathan-Adly/AgentRun)
- [Claude Engineer](https://github.com/Doriandarko/claude-engineer) - Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. [github](https://github.com/Doriandarko/claude-engineer)
- [Cline](https://github.com/cline/cline) - Open-source AI coding agent giving developers direct access to frontier models with full transparency. [github](https://github.com/cline/cline)
- [context-engine-ai](https://github.com/Quinnod345/context-engine) - A lightweight context engine for AI agents. Ingest events from any source, query with natural language, get ranked results with temporal decay and auto-deduplication. Zero config with SQLite + local TF-IDF embeddings, scales to pgvector + OpenAI. [github](https://github.com/Quinnod345/context-engine) | [npm](https://www.npmjs.com/package/context-engine-ai)
- [MicroAgent](https://github.com/aymenfurter/microagents) - Agents Capable of Self-Editing Their Prompts / Python Code. [github](https://github.com/aymenfurter/microagents)
- [Nous](https://github.com/TrafficGuard/nous) - TypeScript AI agent platform with Autonomous agents, Software developer agents, AI code review agents and more. [github](https://github.com/TrafficGuard/nous)
- [OpenHands](https://github.com/All-Hands-AI/OpenHands) - 🙌 OpenHands: Code Less, Make More. (formerly OpenDevin), a platform for software development agents powered by AI. [github](https://github.com/All-Hands-AI/OpenHands)
- [Plandex](https://github.com/plandex-ai/plandex) - An AI coding engine for complex tasks. [github](https://github.com/plandex-ai/plandex)
- [PyCodeAGI](https://github.com/chakkaradeep/pyCodeAGI) - A small AGI experiment to generate a Python app given what app the user wants to build. [github](https://github.com/chakkaradeep/pyCodeAGI)
- [RepoAgent](https://github.com/OpenBMB/RepoAgent) - An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly. [github](https://github.com/OpenBMB/RepoAgent)
- [SWE Agent](https://github.com/princeton-nlp/swe-agent) - SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. [github](https://github.com/princeton-nlp/swe-agent)
- [ThinkGPT](https://github.com/alaeddine-13/thinkgpt) - Agent techniques to augment your LLM and push it beyond its limits. [github](https://github.com/alaeddine-13/thinkgpt)
- [Vision agent](https://github.com/landing-ai/vision-agent) - Vision Agent is a library that helps you utilize agent frameworks to generate code to solve your vision task. [github](https://github.com/landing-ai/vision-agent)
- [WAIaaS](https://github.com/minhoyoo-iotrust/WAIaaS) - Self-hosted wallet-as-a-service for AI agents with multi-chain support (EVM + Solana), DeFi operations (swap, bridge, staking, lending), 3-tier security, and MCP server with 30+ tools. [github](https://github.com/minhoyoo-iotrust/WAIaaS)
- [Anthropic](https://www.anthropic.com/) - Anthropic's new suite of Claud 3 models improves AI agents with superior reasoning, rapid responses, and diverse cognitive capabilities without compromising user privacy [website](https://www.anthropic.com/) | [docs](https://docs.anthropic.com/claude/)
- [AnyBiz](https://anybiz.io) - AnyBiz offers AI-driven sales agents that enhance sales strategies through intelligent automation, continuous learning, and hyper-personalization, operating 24/7 without breaks [website](https://anybiz.io)
- [Anyscale](https://www.anyscale.com/) - The Anyscale platform utilizes large language models (LLMs) for summarization, comparing the summarization quality of human, Llama 2 70b, and GPT-4, with GPT-4 demonstrating superior performance [website](https://www.anyscale.com/) | [docs](https://docs.anyscale.com/)
- [Aomni](https://www.aomni.com/) - This AI agent streamlines the process of researching prospective customers, potentially saving business development representatives hundreds of hours per year [website](https://www.aomni.com/) | [twitter](https://twitter.com/aomniapp) | [demo](https://x.com/AtomSilverman/status/1781402688078622874)
- [AppAgent](https://github.com/mnotgod96/AppAgent) - AppAgent is a mobile-friendly LLM-based multimodal agent framework developed to operate smartphone apps, enabling human-like interactions for a wide range of applications without system back-end access [github](https://github.com/mnotgod96/AppAgent) | [github profile](https://github.com/mnotgod96)
- [Arize AX](https://arize.com/generative-ai) - Arize AX is a free tool to trace, evaluate, and iterate during development and monitor and evaluate AI agents in production | [website](https://arize.com) [docs](https://arize.com/docs/ax) | [github](https://github.com/Arize-ai) | [Slack](https://join.slack.com/t/arize-ai/shared_invite/zt-3iu5bvnzr-2e~VFHw2Et4MM5rMsK599g)
- [Assistants API by OpenAI](https://platform.openai.com/docs/assistants/overview) - The Assistants API facilitates the development of AI agents, offering tools such as Code Interpretation and Function calling for embedding advanced, intelligent functionalities within applications [docs](https://platform.openai.com/docs/assistants/overview)
- [Astra Assistants API](https://github.com/datastax/astra-assistants-api) - The `astra-assistants-api` provides a backend implementation of the OpenAI Assistants API with support for various features like persistent threads, files, assistants, streaming, function calling, and more, utilizing AstraDB powered by Apache Cassandra and jvector, and is compatible with existing OpenAI apps by changing a single line of code [github](https://github.com/datastax/astra-assistants-api)
- [AutoAct](https://github.com/zjunlp/AutoAct) - AutoAct is an automatic agent learning framework that synthesizes planning trajectories without large-scale data or closed-source models, using a division-of-labor strategy for task completion, demonstrating superior or comparable performance in experiments [github](https://github.com/zjunlp/AutoAct) | [website](https://www.zjukg.org/project/AutoAct/)
- [AutoDev](https://github.com/unit-mesh/auto-dev) - AutoDev is an AI-powered coding assistant offering multilingual support, automatic code generation, and debugging assistance, featuring customizable prompts and specialized tools for development, testing, documentation, and the integration of custom AI agents, with a focus on experimenting and building AI agents using its UI framework [github](https://github.com/unit-mesh/auto-dev) | [docs](https://ide.unitmesh.cc)
- [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) - AutoGPT provides accessible AI tools for building and using AI agents, offering a comprehensive framework including Forge for agent creation, agbenchmark for performance evaluation, a leaderboard for competition, a user-friendly UI, and CLI for seamless integration and management [github](https://github.com/Significant-Gravitas/AutoGPT) | [github profile](https://github.com/Significant-Gravitas)
- [AutoGen Studio by Microsoft](https://github.com/microsoft/autogen) - AutoGen Studio 2.0 is Microsoft's advanced AI development tool, offering a user-friendly interface, powerful Python API, and comprehensive features for creating and controlling AI agents and workflows [github](https://github.com/microsoft/autogen) | [website](https://autogen-studio.com) | [landing page](https://www.microsoft.com/en-us/research/project/autogen/) | [research paper](https://www.microsoft.com/en-us/research/publication/autogen-enabling-next-gen-llm-applications-via-multi-agent-conversation-framework/)
- [AutoGen by Microsoft](https://github.com/microsoft/autogen) - AutoGen is a multi-agent conversation framework facilitating the development of next-gen LLM applications, highlighted by various accomplishments and offering enhanced LLM inferences, customizable agents, and comprehensive documentation [github](https://github.com/microsoft/autogen) | [video](https://www.youtube.com/watch?v=DXhqhpHWRuM)
- [Axflow](https://axflow.dev/) - Axflow is a TypeScript framework designed for AI development, offering a modular collection of tools for building natural language applications, and it emphasizes a code-first approach to simplify the integration of LLMs into scalable solutions [website](https://axflow.dev/) | [github](https://github.com/axflow/axflow)
- [Azure Speech Service](https://learn.microsoft.com/en-us/azure/ai-services/speech-service) - The Azure Speech service supports a wide range of languages and locales, with over 400 neural voices available in more than 140 languages and locales, including multilingual voices that can speak multiple languages [docs](https://learn.microsoft.com/en-us/azure/ai-services/speech-service)
- [BDR Agent by Relevance](https://relevanceai.com/agents/bdr-agent) - Relevance AI's flagship BDR Agent is designed to assist sales teams by researching and qualifying leads, engaging in personalized prospecting according to your playbook 24x7, and booking meetings to grow your business without increasing headcount [website](https://relevanceai.com/agents/bdr-agent) | [twitter](https://twitter.com/RelevanceAI) | [github profile](https://github.com/RelevanceAI) | [linkedin](https://www.linkedin.com/company/relevanceai/)
- [BabyAGI](https://github.com/yoheinakajima/babyagi) - BabyAGI exemplifies an AI-powered task management system utilizing OpenAI and vector databases like Chroma or Weaviate, creating, prioritizing, and executing tasks based on previous outcomes and predefined objectives, with the main function involving an infinite loop where tasks are processed, enriched, and stored using OpenAI's NLP capabilities and Chroma/Weaviate, inspired by the Task-Driven Autonomous Agent concept [github](https://github.com/yoheinakajima/babyagi) | [github profile](https://github.com/yoheinakajima)
- [BabyAGI UI](https://github.com/miurla/babyagi-ui) - Make it easier to run and develop with babyagi in a web app, like a ChatGPT. [github](https://github.com/miurla/babyagi-ui)
- [CollosalAI Chat](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat) - implement LLM with RLHF, powered by the Colossal-AI project. [github](https://github.com/hpcaitech/ColossalAI)
- [DuetGPT](https://github.com/kristoferlund/duet-gpt) - A conversational semi-autonomous developer assistant, AI pair programming without the copypasta. [github](https://github.com/kristoferlund/duet-gpt)
- [Gobii](https://github.com/gobii-ai/gobii-platform) - Gobii is an open-source platform for deploying and managing browser-use agents at scale with a conversational interface and API. [github](https://github.com/gobii-ai/gobii-platform)
- [GPT Agent](https://github.com/iris-networks/gpt-agent) - The Free, Open-Source AI Agent for Computer Automation. [github](https://github.com/iris-networks/gpt-agent)
- [ix](https://github.com/kreneskyp/ix) - Autonomous GPT-4 agent platform. [github](https://github.com/kreneskyp/ix)
- [joinly](https://github.com/joinly-ai/joinly) - Voice-first AI Assistant for online meetings that can actively participate and solve tasks live during the meeting. [github](https://github.com/joinly-ai/joinly)
- [LLama Cpp Agent](https://github.com/Maximilian-Winter/llama-cpp-agent) - The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models. [github](https://github.com/Maximilian-Winter/llama-cpp-agent)
- [Multi-Modal LangChain agents in Production](https://github.com/steamship-packages/langchain-agent-production-starter) - Deploy LangChain Agents and connect them to Telegram. [github](https://github.com/steamship-packages/langchain-agent-production-starter)
- [RasaGPT](https://github.com/paulpierre/RasaGPT) - RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. [github](https://github.com/paulpierre/RasaGPT)
- [Autonomous HR Chatbot](https://github.com/stepanogil/autonomous-hr-chatbot) - An autonomous agent that can answer HR related queries autonomously using the tools it has on hand. [github](https://github.com/stepanogil/autonomous-hr-chatbot)
- [Bananalyzer by Reworkd](https://reworkd.ai) - Bananalyzer is a framework for evaluating AI agents on web tasks, utilizing Playwright for creating diverse datasets of website snapshots for reliable and varied web task assessments [website](https://reworkd.ai) | [github](https://github.com/reworkd/bananalyzer)
- [Bazed](https://github.com/bazed-ai/bazed-af) - Bazed Agent Framework, aimed at empowering developers to build autonomous agent swarms without requiring deep Python ML knowledge, is facilitating the creation of sophisticated systems through TypeScript for enhanced autonomy and reliability [github](https://github.com/bazed-ai/bazed-af) | [website](https://bazed.ai/) | [discord](https://discord.gg/VmEEUrc7dg)
- [Beam](https://beam.ai/) - Beam AI offers a platform for Agentic Process Automation, using AI agents to automate workflows, enhancing productivity for businesses of all sizes with features like pre-trained agents, seamless integrations, and industry-specific solutions [website](https://beam.ai/) | [twitter](https://twitter.com/join__beam) | [linkedin](https://www.linkedin.com/company/beam-ai) | [youtube](https://www.youtube.com/@beam-ai)
- [Bland](https://www.bland.ai/) - Bland AI offers a platform for building and scaling AI-powered phone agents, featuring easy integration, live data context, custom voices, and dedicated infrastructure. Tech stack includes LLM: Claude Instant (Anthropic), Transcription: Whisper (OpenAI), TTS: ElevenLabs [website](https://www.bland.ai/) | [twitter](https://twitter.com/usebland)
- [Bloop](https://github.com/BloopAI/bloop) - Bloop is a GPT-4-based coding assistant that boosts engineer productivity by allowing natural language interactions with codebases for explanations, feature writing, error troubleshooting, and more, featuring a code-centric AI playground, fast regex search, and comprehensive code navigation tools [github](https://github.com/BloopAI/bloop)
- [BrainSoup Custom Tools](https://www.nurgo-software.com/products/brainsoup) - BrainSoup is a multi-agent and multi-LLM native client where users can easily create custom tools for their agents, in any programming language, enabling them to interact with the user's system or any other external service [website](https://www.nurgo-software.com/products/brainsoup) | [docs](https://help.nurgo-software.com/collection/148-brainsoup) | [twitter](https://twitter.com/Nurgo) | [discord](https://discord.gg/xt7PyCnH9S)
- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) - BrainSoup is a multi-agent and multi-LLM native client, enabling users to create a team of personalized AI agents that can learn, remember, react to events, use tools, leverage the local resources of the user's computer, and work together to solve tasks autonomously [website](https://www.nurgo-software.com/products/brainsoup) | [docs](https://help.nurgo-software.com/collection/148-brainsoup) | [twitter](https://twitter.com/Nurgo) | [discord](https://discord.gg/xt7PyCnH9S)
- [BrowserGPT](https://github.com/mayt/BrowserGPT) - BrowserGPT is a project that combines OpenAI's GPT-4 and the Playwright library to control browsers via natural language, enabling code snippet generation for browser tasks [github](https://github.com/mayt/BrowserGPT) | [github profile](https://github.com/mayt)
- [Browserbase](https://twitter.com/browserbasehq) - Browserbase offers a managed headless web browser API with robust features like session recording, logging, and debugging, ensuring secure connections to isolated web browsers for efficient issue resolution [twitter](https://twitter.com/browserbasehq) | [website](https://www.browserbase.com/)
- [BrowsingAgent by Agency Swarm](https://github.com/VRSEN/agency-swarm/tree/main/agency_swarm/agents/BrowsingAgent) - BrowsingAgent, an AI web navigation tool, has been integrated into the Agency Swarm framework to enable human-like browsing capabilities for automated AI operations [code](https://github.com/VRSEN/agency-swarm/tree/main/agency_swarm/agents/BrowsingAgent) | [video](https://www.youtube.com/watch?v=Yidy_ePo7pE)
- [CAMEL](https://github.com/camel-ai/camel) - CAMEL (Communicative Agents for Mind Exploration of Large Language Model Society) is an open-source library designed for studying autonomous and communicative agents, facilitating research in understanding their behaviors, capabilities, and potential risks through scalable techniques and cooperative frameworks, including role-playing, with extensive documentation, examples, and datasets, while also supporting integration with open-source models as backends for diverse applications [github](https://github.com/camel-ai/camel) | [github profile](https://github.com/camel-ai)
- [CLIN](https://allenai.github.io/clin/) - CLIN by Allen Institute for AI is an interactive continual learning agent that adapts rapidly to tasks, using a setup process involving Java, Python, and the ScienceWorld environment, supported by models like GPT-3.5-turbo and GPT-4 [website](https://allenai.github.io/clin/) | [github](https://github.com/allenai/clin) | [research paper](https://arxiv.org/pdf/2310.10134.pdf)
- [Cadea](https://www.cadea.ai/) - Cadea offers a secure AI platform for businesses, providing solutions against prompt injection, data breaches, and ensuring content safety through end-to-end security, access controls, and integration with major identity providers [website](https://www.cadea.ai/)
- [Cal.ai](https://cal.com/ai) - Cal.ai is an open-source AI scheduling assistant that manages email communications for booking, rearranging, and inquiring about meetings, leveraging a LangChain Agent Executor and MailParser for efficient scheduling without API key exposure [website](https://cal.com/ai) | [github](https://github.com/calcom/cal.com/tree/main/apps/ai)
- [Central by Zapier](https://zapier.com/blog/introducing-zapier-central-ai-bots/) - Zapier Central is an AI workspace designed to automate tasks across 6,000+ apps with AI bots, offering capabilities like live data connection, AI automation, and interaction with data sources for businesses and individual productivity enhancements [announcement](https://zapier.com/blog/introducing-zapier-central-ai-bots/) | [website](https://zapier.com/central)
- [ChartGPT](https://chartgpt.io) - ChartGPT offers AI-driven services like table summarization, charting, and code generation, featuring pay-as-you-go pricing, trusted by major companies, emphasizing data security, ease of use, and 24/7 customer support [website](https://chartgpt.io)
- [ChatDev](https://github.com/OpenBMB/ChatDev) - ChatDev is a virtual software company utilizing intelligent agents to revolutionize the digital world through programming, offering a highly customizable framework and integrating innovative approaches like Experiential Co-Learning, Docker support, Git management, and Human-Agent Interaction [github](https://github.com/OpenBMB/ChatDev) | [github profile](https://github.com/OpenBMB)
- [ChatGPT-code-preview](https://github.com/ykyritsis/ChatGPT-code-preview) - Artifacts-like chrome extension for ChatGPT, inspired by Claude 3.5 Sonnet, which requires CSP unblocker for JS to function [github](https://github.com/ykyritsis/ChatGPT-code-preview)
- [ChatGPT](https://chatgpt.com/) - ChatGPT is an AI language model designed to understand and generate human-like text, facilitating conversation and assisting with various tasks [website](https://chatgpt.com/)
- [Claude 3 Artifacts by PierrunoYT](https://github.com/PierrunoYT/claude-3-artifacts) - An open-source Flask-React chat application that interacts with Claude AI, featuring file uploads, Markdown rendering, and code highlighting, seeking contributors to expand its capabilities, inspired by Claude Artifacts [github](https://github.com/PierrunoYT/claude-3-artifacts) | [reddit announcement](https://www.reddit.com/r/ClaudeAI/comments/1dqhta5/help_me_buiild_claude_3_artifacs_opensource/)
- [Claude models by Anthropic](https://docs.anthropic.com/claude/docs/tool-use) - Function calling or tool use is supported with the following models: `claude-3-opus-20240229`, `claude-3-sonnet-20240229`, and `claude-3-haiku-20240307` [docs](https://docs.anthropic.com/claude/docs/tool-use)
- [Claude-React-Jumpstart](https://github.com/Bklieger/Claude-React-Jumpstart) - This project offers a tutorial for beginners to set up and run React code generated by Claude's Artifacts feature locally, providing step-by-step instructions for creating a React app with Vite, installing necessary dependencies, and integrating Claude-generated code [github](https://github.com/Bklieger/Claude-React-Jumpstart) | [twitter announcement](https://x.com/BenjaminKlieger/status/1804264035464155220)
- [Clawdia Agent Gateway](https://api-catalog-three.vercel.app) - A unified API gateway providing 40+ services for AI agents including web scraping, code execution, agent memory with vector search, task queue, event bus, and more. Supports x402 micropayments (USDC on Base) with TypeScript and Python SDKs [website](https://api-catalog-three.vercel.app) | [github](https://github.com/OzorOwn)
- [CodeActAgent](https://github.com/xingyaoww/code-act) - CodeActAgent, trained on CodeActInstruct, showcases superior performance in both in-domain and out-of-domain tasks, enabling dynamic code execution and multi-turn interactions for more effective LLM agents [github](https://github.com/xingyaoww/code-act)
- [Codel](https://github.com/semanser/codel) - Autonomous AI agent, inspired by Devin, designed for complex task execution with features like a secure sandboxed Docker environment, integrated browser for real-time web information, text editor, and PostgreSQL database for history tracking, highlighting its relevance to agentic AI through its ability to autonomously navigate and perform actions across terminal, browser, and editor interfaces [github](https://github.com/semanser/codel) | [announcement](https://news.ycombinator.com/item?id=39799296)
- [Cody](https://sourcegraph.com/cody) - Cody, an AI coding assistant, now offers an enterprise version with enhanced security, scalability, and control for organizations, supporting various IDEs and providing AI-powered autocomplete, chat assistance, and custom command capabilities [website](https://sourcegraph.com/cody) | [github](https://github.com/sourcegraph/cody)
- [Cognee](https://github.com/topoteretes/cognee) - Cognee is an open-source framework aimed at simplifying data processing for large language models (LLMs) by creating knowledge graphs and data models, offering tools for information addition, knowledge creation, and similarity-based search [github](https://github.com/topoteretes/cognee)
- [Command R+ by Cohere](https://txt.cohere.com/command-r-plus-microsoft-azure/) - Cohere introduces Command R+, an advanced, scalable LLM optimized for enterprise needs with advanced RAG, multilingual support, and sophisticated tool-use capabilities for automating complex business workflows, available first on Microsoft Azure [announcement](https://txt.cohere.com/command-r-plus-microsoft-azure/) | [docs](https://docs.cohere.com/docs/command-r)
- [Composio](https://www.youtube.com/watch?v=ujxKzS0b5qg) - Composio enables quick integration of 90+ tools for developers and agents, offering managed authentication, easy testing, and up-to-date APIs to simplify development and enhance functionality [demo](https://www.youtube.com/watch?v=ujxKzS0b5qg) | [demo](https://www.youtube.com/watch?v=ujxKzS0b5qg) | [website](https://www.composio.dev/) | [docs](https://docs.composio.dev/) | [blog](https://blog.composio.dev/) | [github profile](https://github.com/SamparkAI)
- [Context](https://context.ai/) - Context.ai is a tool for evaluating and analyzing products with LLMs, aiming to improve user experience and performance [website](https://context.ai/) | [docs](https://docs.context.ai/)
- [Continue](https://github.com/continuedev/continue) - Continue is an open-source autopilot plugin for VS Code and JetBrains, enhancing coding with LLMs through features like task and tab autocomplete, natural language edits, file generation, and customization options, available under the Apache 2.0 license [github](https://github.com/continuedev/continue) | [website](https://continue.dev)
- [Cosmo](https://meetcosmo.ai/) - Cosmo offers an all-inclusive AI agent for merchants on WhatsApp, enabling order placements, customer interaction, automatic question answering, inventory and CRM integration, with features like instant payments, customer insights, dynamic order fulfillment, and a comprehensive merchant web app for online transaction management, aimed at simplifying shopping and boosting sales by 57% [website](https://meetcosmo.ai/) | [demo](https://x.com/AlexReibman/status/1772775416044126608)
- [Cursor](https://github.com/getcursor/cursor/issues) - Cursor is an AI-enhanced programming editor focusing on code discussion, editing, and debugging, with plans for advanced features like repository healing and AI-generated documentation [issue tracker](https://github.com/getcursor/cursor/issues) | [website](https://cursor.sh/)
- [Custom Tools by Bland AI](https://docs.bland.ai/tutorials/custom-tools#creating-your-custom-tool) - Custom tools by Bland AI enable an agent to interact with any web API mid-call to perform actions like sending messages, scheduling appointments, creating support tickets, or updating CRM systems [docs](https://docs.bland.ai/tutorials/custom-tools#creating-your-custom-tool)
- [DB-GPT](https://github.com/eosphoros-ai/DB-GPT) - DB-GPT revolutionizes database interactions using private LLM technology, enabling streamlined AI-native data app development with multi-model management, Text2SQL optimization, and fine-tuning, facilitating enterprises and developers to create bespoke applications in the Data 3.0 era [github](https://github.com/eosphoros-ai/DB-GPT) | [github profile](https://github.com/eosphoros-ai)
- [DSPY](https://github.com/stanfordnlp/dspy) - A cutting-edge framework that compiles declarative language model calls into self-improving pipelines, enabling the systematic and efficient optimization of LM prompts and weights within complex systems [github](https://github.com/stanfordnlp/dspy)
- [Data Questionnaire Agent](https://github.com/onepointconsulting/data-questionnaire-agent) - A chatbot designed to query users on data integration practices, offering advice based on responses, utilizing a modified Chainlit library for operation [github](https://github.com/onepointconsulting/data-questionnaire-agent)
- [DeepInfra](https://deepinfra.com) - DeepInfra is a comprehensive platform that simplifies the deployment and management of machine learning models, offering a range of open-source models for tasks like text generation and embeddings, with easy integration through REST API calls [website](https://deepinfra.com) | [docs](https://deepinfra.com/docs/)
- [Deepgram](https://x.com/AlexReibman/status/1772774552260788296) - Conversational AI tools designed for creating voice bots and agents, featuring realistic, low-latency voice technology [demo](https://x.com/AlexReibman/status/1772774552260788296)
- [Deepunit](https://x.com/AlexReibman/status/1772773773772779533) - An AI agent designed to generate unit tests for complete code coverage across your project, requiring only your repository as input [demo](https://x.com/AlexReibman/status/1772773773772779533)
- [DevOpsGPT](https://github.com/kuafuai/DevOpsGPT) - DevOpsGPT is an AI-driven software development automation solution that combines large language models with DevOps tools to convert natural language requirements into working software, enhancing development efficiency, shortening cycles, and reducing communication costs [github](https://github.com/kuafuai/DevOpsGPT) | [github profile](https://github.com/kuafuai)
- [Devid by Agency Swarm](https://github.com/VRSEN/agency-swarm/tree/main/agency_swarm/agents/Devid) - Devid Agent, a new AI software development tool, has been integrated into the Agency Swarm framework to enhance automated AI agency operations, alternative to Cognition AI's Devin [code](https://github.com/VRSEN/agency-swarm/tree/main/agency_swarm/agents/Devid) | [video](https://www.youtube.com/watch?v=BEpDRj9H3zE)
- [Devika](https://github.com/stitionai/devika) - Devika is an open-source AI software engineer designed to understand and execute high-level coding tasks by researching, planning, and writing code, aiming to be a competitive alternative to Cognition AI's Devin [github](https://github.com/stitionai/devika) | [demo](https://github.com/stitionai/devika?tab=readme-ov-file#demos) | [discord](https://discord.com/invite/8eYNbPuB)
- [Devin by Cognition](https://www.cognition-labs.com/introducing-devin) - Devin is a fully autonomous AI software engineer, revolutionizing coding with advanced reasoning and planning capabilities [announcement](https://www.cognition-labs.com/introducing-devin) | [website](https://www.cognition-labs.com/)
- [Devon (previously Gilfoyle)](https://github.com/entropy-research/Devon) - Devon, not Devin, aims to perfect code correction for fill-in-the-middle, bug spotting, and completion tasks, using JSON for metadata in edits, and incorporates looping until user termination in function updates [github](https://github.com/entropy-research/Devon)
- [DJD Agent Score](https://github.com/jacobsd32-cpu/djdagentscore) - On-chain reputation scoring API for AI agent wallets on Base L2. Returns 0-100 trust scores across 5 behavioral dimensions from transaction patterns and multi-chain attestations. Features x402 micropayments, TypeScript SDK, and ERC-8004 on-chain reputation publication [github](https://github.com/jacobsd32-cpu/djdagentscore) | [docs](https://djd-agent-score.fly.dev) | [npm](https://www.npmjs.com/package/djd-agent-score-client)
- [E2B](https://github.com/e2b-dev/E2B) - E2B Sandbox offers secure cloud environments tailored for AI agents and apps, facilitating long-running sessions with various tools and can be integrated with any large language model [github](https://github.com/e2b-dev/E2B) | [github profile](https://github.com/e2b-dev)
- [ElevenLabs](https://elevenlabs.io/) - ElevenLabs is a software company that develops AI-powered, natural-sounding speech synthesis and text-to-speech software, with the mission of making content universally accessible in any language and voice [website](https://elevenlabs.io/)
- [Enact](https://github.com/agentic-ai/enact) - Enact is a Python framework for building generative software that integrates machine learning models or APIs, offering features like tracking and replaying executions, asynchronous flows, and higher-order generative processes [github](https://github.com/agentic-ai/enact)
- [Evolutionary Model Merge](https://twitter.com/AlphaSignalAI/status/1771201081734811797) - Sakana AI's evolutionary model merge (EMM) combines 500,000 open-source models using evolutionary techniques to create new foundation models, achieving groundbreaking results without being explicitly optimized for specific benchmarks, marking a significant step toward AGI by empowering AI with combined knowledge akin to Retrieval Augmented Generation [announcement](https://twitter.com/AlphaSignalAI/status/1771201081734811797) | [github](https://github.com/SakanaAI/evolutionary-model-merge/)
- [Fairgo](https://x.com/AnnieLiao_2000/status/1792175460044193992) - Fairgo.ai is a platform built by Julian to streamline and scale hiring processes using real-time AI video interviews, tackling unconscious biases and ensuring all candidates are interviewed without human input [demo](https://x.com/AnnieLiao_2000/status/1792175460044193992) | [website](https://fairgo.ai/)
- [FastChat](https://github.com/lm-sys/FastChat) - FastChat is a platform for training, serving, and evaluating large language model chatbots, featuring an open-source distributed multi-model system, API compatibility, and a dataset for LLM conversations [github](https://github.com/lm-sys/FastChat) | [demo](https://chat.lmsys.org/) | [discord](https://discord.gg/HSWAKCrnFx) | [twitter](https://x.com/lmsysorg)
- [Fetch](https://fetch.ai) - Fetch by Fetch AI offers a platform for launching AI apps and services, including agent hosting, analytics, IoT gateways, and a Web3-based open network, alongside an open network for AI Agents that allows for connectivity, transactions, and the formation of dynamic marketplaces, facilitating the deployment and monetization of AI and ML models through agent technology [website](https://fetch.ai) | [github profile](https://github.com/fetchai)
- [Fazm](https://github.com/m13v/fazm) - Fazm is an open-source, voice-controlled AI computer agent for macOS that controls your entire desktop through natural language - any app, file, or workflow. Built in Swift/SwiftUI, local-first, MIT licensed [github](https://github.com/m13v/fazm) | [website](https://fazm.ai)
- [FinGen](https://twitter.com/SullyOmarr/status/1772282548841791730) - FinGen is a financial analysis agent using RSC, LangChain, and Polygon finance API, emphasizing it's not financial advice and requires API keys for use [announcement](https://twitter.com/SullyOmarr/status/1772282548841791730) | [github](https://github.com/sullyo/fingen)
- [Fine](https://www.fine.dev) - Fine.dev offers AI-powered agents designed to automate software development tasks, seamlessly integrating into engineering teams to manage tedious tasks, technical debt, code reviews, and migrations, while customizing to project needs and learning from team feedback for improved efficiency [website](https://www.fine.dev) | [discord](https://discord.gg/nxW8sA5yqe) | [docs](https://docs.fine.dev/)
- [Flowise](https://github.com/FlowiseAI/Flowise) - Flowise simplifies the creation of applications leveraging large language models (LLMs) by providing a drag-and-drop interface for customizing AI workflows, offering easy installation, Docker support, development tools, and documentation for integrating various functionalities such as authentication, streaming, and custom tools to enhance AI agents' capabilities [github](https://github.com/FlowiseAI/Flowise) | [website](https://flowiseai.com/) | [docs](https://docs.flowiseai.com/) | [github profile](https://github.com/FlowiseAI)
- [FuzzTypes](https://github.com/genomoncology/FuzzTypes) - FuzzTypes is a Pydantic extension library providing autocorrecting annotation types, enhancing Pydantic's data conversions for AI agents by enabling powerful normalization capabilities like named entity linking to ensure structured data consists of 'smart things' instead of 'dumb strings' [github](https://github.com/genomoncology/FuzzTypes) | [website](https://www.genomoncology.com/)
- [GPT Computer Assistant](https://github.com/onuratakan/gpt-computer-assistant) - GPT Computer Assistant is an unofficial app that brings ChatGPT functionality to Windows and Linux, allowing for screen reading, microphone use, system audio interaction, clipboard management, script execution, and more [github](https://github.com/onuratakan/gpt-computer-assistant)
- [GPT Engineer](https://github.com/gpt-engineer-org/gpt-engineer) - GPT-Engineer is an AI-powered tool allowing users to specify software in natural language, automatically generating and executing code, with options for improvement suggestions, and fostering collaboration within the open-source community [github](https://github.com/gpt-engineer-org/gpt-engineer) | [github profile](https://github.com/gpt-engineer-org) | [website](https://gptengineer.app)
- [GPT Newspaper by Tavily](https://github.com/rotemweiss57/gpt-newspaper) - GPT Newspaper is an autonomous agent project using AI to create personalized newspapers based on user preferences, featuring six specialized sub-agents for searching, curating, writing, designing, editing, and publishing content tailored to individual interests [github](https://github.com/rotemweiss57/gpt-newspaper) | [github profile](https://github.com/rotemweiss57)
- [GPT Pilot](https://github.com/Pythagora-io/gpt-pilot) - GPT Pilot is an open-source AI developer tool that aims to provide a comprehensive development companion, capable of writing features, debugging, and interacting with users, presenting itself as an alternative to Devin, the world's first AI software engineer developed by Cognition Labs [github](https://github.com/Pythagora-io/gpt-pilot) | [discord](https://discord.gg/RzvCYRgUkx)
- [GPT Researcher by Tavily](https://github.com/assafelovic/gpt-researcher) - GPT Researcher is an AI-powered autonomous agent designed for efficient and unbiased online research, generating detailed reports by leveraging recent advancements in AI and web scraping, with a focus on speed, reliability, and cost-effectiveness [github](https://github.com/assafelovic/gpt-researcher) | [github profile](https://github.com/assafelovic)
- [AI Scientist](https://github.com/SakanaAI/AI-Scientist) - The AI Scientist: Towards Fully Automated Open-Ended Scientific. [github](https://github.com/SakanaAI/AI-Scientist)
- [BlockAGI](https://github.com/blockpipe/blockagi) - BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings. [github](https://github.com/blockpipe/blockagi)
- [data-to-paper](https://github.com/Technion-Kishony-lab/data-to-paper) - data-to-paper: AI-driven research from data to human-verifiable research papers. [github](https://github.com/Technion-Kishony-lab/data-to-paper)
- [DeepAnalyze](https://github.com/ruc-datalab/DeepAnalyze) - first agentic LLM for autonomous data science, supporting specific data tasks (data preparation, analysis, modeling, visualization, and insight) and data-oriented deep research (produce analyst-grade research reports). [github](https://github.com/ruc-datalab/DeepAnalyze)
- [GenoMAS](https://github.com/Liu-Hy/GenoMAS) - A multi-agent framework for scientific discovery that automates gene expression analysis through code-driven workflows. [github](https://github.com/Liu-Hy/GenoMAS)
- [GhostClaw](https://github.com/b1rdmania/ghostclaw) - A local AI agent you message on Telegram like a co-worker. Runs on your computer with no containers or cloud dependencies, and sets up in 10 minutes. [github](https://github.com/b1rdmania/ghostclaw) | [website](https://ghostclaw.io)
- [OpenLens AI](https://github.com/jarrycyx/openlens-ai) - Fully Autonomous Research Agent for Health Infomatics. [github](https://github.com/jarrycyx/openlens-ai)
- [Storm](https://github.com/stanford-oval/storm) - An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. [github](https://github.com/stanford-oval/storm)
- [GPT models by OpenAI](https://platform.openai.com/docs/guides/function-calling) - Function calling or tool use is supported with the following models: `gpt-4-turbo`, `gpt-4-turbo-2024-04-09`, `gpt-4-turbo-preview`, `gpt-4-0125-preview`, `gpt-4-1106-preview`, `gpt-4`, `gpt-4-0613`, `gpt-3.5-turbo`, `gpt-3.5-turbo-0125`, `gpt-3.5-turbo-1106`, and `gpt-3.5-turbo-0613` [docs](https://platform.openai.com/docs/guides/function-calling)
- [GPTeam](https://github.com/101dotxyz/GPTeam) - GPTeam is a collaborative AI project utilizing GPT-4 to create multi-agent systems aimed at enhancing productivity and communication, with features including agent memory and interaction, alongside instructions for setup and integration with third-party services [github](https://github.com/101dotxyz/GPTeam) | [github profile](https://github.com/101dotxyz)
- [Gated 402 API](https://github.com/aibtcdev/gated-402-api) - An API using a Stacks smart contract to control access, issuing a 200 status for access approval and a 402 with payment instructions for denial [github](https://github.com/aibtcdev/gated-402-api) | [github profile](https://github.com/aibtcdev) | [website](https://aibtc.dev/) | [discord](https://discord.gg/5DJaBrf)
- [GitWit](https://gitwit.dev/) - GitWit is an online tool that accelerates web app development with AI, supporting React, Tailwind, and NodeJS, boasting a 3X speed increase and over 1000 projects generated [website](https://gitwit.dev/) | [discord](https://discord.gitwit.dev/) | [github profile](https://github.com/gitwitorg)
- [Google STT](https://cloud.google.com/speech-to-text) - Google Cloud Speech-to-Text is a comprehensive speech recognition service that leverages Google's years of research in automatic speech recognition and transcription technology to provide developers with a high-quality, easy-to-use speech-to-text API [website](https://cloud.google.com/speech-to-text)
- [Groq](https://groq.com/) - GroqCloud API endpoints support tool use for programmatic execution of specified operations through requests with explicitly defined operations, allowing Groq API model endpoints to deliver structured JSON output that can be used to directly invoke functions from desired codebases; these following models powered by Groq all support tool use: `llama3-70b`, `llama3-8b`, `mixtral-8x7b`, `gemma-7b-it`; parallel tool calling is enabled for both Llama3 models [website](https://groq.com/) | [docs](https://console.groq.com/docs) | [tool use docs](https://console.groq.com/docs/tool-use) | [tool use announcement](https://twitter.com/GroqInc/status/1775634099849322632)
- [Guardrails](https://github.com/guardrails-ai/guardrails) - Guardrails is a Python framework for building reliable AI applications, offering Input/Output Guards to detect and mitigate risks, along with structured data generation from large language models (LLMs) [github](https://github.com/guardrails-ai/guardrails) | [twitter](https://twitter.com/guardrails_ai)
- [Guidance](https://github.com/guidance-ai/guidance) - The text describes 'guidance,' a programming paradigm that enhances control and efficiency in model generation by allowing for constraints like regex and CFGs, integrating stateful control, and offering a simplified interface for complex generation scenarios [github](https://github.com/guidance-ai/guidance) | [docs](https://guidance.readthedocs.org/)
- [Harpa](https://harpa.ai/) - Harpa is a versatile Chrome extension that integrates AI capabilities, such as summarizing content, automating workflows, and enhancing productivity, supported by GPT-4 and Claude 2, trusted by 300,000+ professionals [website](https://harpa.ai/)
- [Hanzi](https://github.com/hanzili/hanzi-in-chrome) - Hanzi is an open-source MCP server + Chrome extension that gives AI agents your real signed-in browser. Task-level automation — one tool call delegates an entire workflow. Built-in skills for LinkedIn prospecting, E2E testing, and social posting. Works with Claude Code, Cursor, Codex, and Windsurf. Setup: `npx hanzi-in-chrome setup` [github](https://github.com/hanzili/hanzi-in-chrome)
- [Haystack](https://github.com/deepset-ai/haystack) - Haystack is an end-to-end LLM framework facilitating the construction of applications powered by LLMs, Transformer models, vector search, and more, offering flexibility, transparency, and extensibility, with features including retrieval-augmented generation, document search, question answering, and semantic search, along with a diverse user base including companies like Airbus, Apple, and Netflix [github](https://github.com/deepset-ai/haystack) | [github profile](https://github.com/deepset-ai)
- [Helicone](https://www.helicone.ai/) - Helicone is an open-source observability platform for Language Learning Models (LLMs), providing features like request logging, caching, rate limiting, cost and latency tracking, UI-based prompt iteration, and collaboration tools [website](https://www.helicone.ai/) | [github](https://github.com/Helicone/helicone)
- [Humane](https://humane.com/) - AI Pin, a wearable, multi-modal device, enhances ambient computing in the real world, offering a suite of AI digital assistants for various tasks while prioritizing user privacy for a more intuitive, human-centered experience [website](https://humane.com/)
- [Hivemoot](https://github.com/hivemoot/hivemoot) - Hivemoot is a governance framework for autonomous AI agent teams on GitHub, enabling agents to propose features, vote democratically, review code, and ship software through role-based collaboration with live observability via Colony dashboard [github](https://github.com/hivemoot/hivemoot) | [docs](https://github.com/hivemoot/hivemoot/blob/main/CONCEPT.md) | [live demo](https://hivemoot.github.io/colony/) | [colony repo](https://github.com/hivemoot/colony)
- [Hume AI](https://www.hume.ai/) - Hume AI offers empathic AI solutions with emotional intelligence through APIs for interpreting emotional expressions and generating empathic responses, aimed at enhancing human well-being and enabling developers to create AI agents with improved understanding and engagement [website](https://www.hume.ai/) | [discord](https://discord.com/invite/WPRSugvAm6)
- [Imbue](https://imbue.com/) - Imbue, previously known as Generally Intelligent, is developing AI systems designed for reasoning and coding, aiming to create truly personal computers that enhance human freedom, dignity, and agency, supported by a $200M funding round to advance their technology [website](https://imbue.com/) | [twitter](https://twitter.com/imbue_ai/)
- [Instructor Cloud](https://github.com/instructor-ai/cloud) - Instructor Cloud offers a platform for extracting models from text rapidly, with real-time streaming and the potential to utilize GPT-4*, encouraging engagement through contributions and adaptation of its FastAPI-based service [github](https://github.com/instructor-ai/cloud) | [announcement](https://twitter.com/jxnlco/status/1774822440922763707)
- [Instructor](https://github.com/jxnl/instructor) - Instructor, a Python library, facilitates working with structured outputs from large language models (LLMs), offering features like response model specification, retry management, validation, and streaming support, primarily aimed at enhancing workflows of AI agents utilizing LLMs [github](https://github.com/jxnl/instructor) | [website](https://python.useinstructor.com/)
- [IvyCheck](https://github.com/ivycheck/ivycheck-python-sdk) - IvyCheck offers an API for real-time AI application safety checks, preventing prompt injection attacks, PII data leakage, and hallucinations in agentic AI development [github](https://github.com/ivycheck/ivycheck-python-sdk) | [announcement](https://www.ycombinator.com/launches/KkA-ivycheck-guard-against-ai-risks-with-real-time-checks) | [website](https://ivycheck.com)
- [JARVIS by Microsoft](https://github.com/microsoft/JARVIS) - JARVIS aims to advance artificial general intelligence (AGI) through cutting-edge research and facilitate broader community engagement [github](https://github.com/microsoft/JARVIS)
- [Jaiqu](https://github.com/AgentOps-AI/Jaiqu) - Jaiqu is an AI-powered tool for automatically transforming any JSON schema using GPT-4, featuring schema validation, fuzzy term matching, and repeatable jq query generation [github](https://github.com/AgentOps-AI/Jaiqu) | [demo](https://x.com/AlexReibman/status/1774314258379190770) | [website](https://jaiqu-agent.streamlit.app/) | [twitter](https://twitter.com/agentopsai/) | [discord](https://discord.gg/JHPt4C7r)
- [Jan](https://github.com/janhq/jan) - Jan is an open-source, development-stage ChatGPT alternative that operates fully offline on diverse hardware platforms, supporting universal architectures from PCs to multi-GPU clusters [github](https://github.com/janhq/jan) | [github profile](https://github.com/janhq)
- [Jsonify](https://jsonify.com/) - Jsonify provides a no-code platform for AI data agents that convert webpages and documents into structured JSON, enhancing efficiency and customer satisfaction, with use cases including scraping webpages, extracting document data, and building structured datasets [website](https://jsonify.com/) | [twitter](https://twitter.com/jsonifyco) | [linkedin](https://www.linkedin.com/company/jsonify/)
- [Kapa](https://www.kapa.ai/) - Kapa.ai is an AI-powered chatbot service for developers that automates answering technical questions by learning from technical resources, thus helping identify gaps in documentation, with features including data security, PII anonymization, and continuous updating from a range of knowledge sources [website](https://www.kapa.ai/) | [docs](https://docs.kapa.ai/)
- [Lumen](https://github.com/omxyz/lumen) - Lumen is a vision-first browser agent with self-healing deterministic replay over CDP. Screenshot → model → action loop with multi-provider support (Anthropic, Google). [github](https://github.com/omxyz/lumen) | [website](https://lumen.omlabs.xyz)
- [LM Studio](https://lmstudio.ai/) - LM Studio offers a platform for running various local LLMs like LLaMa, Falcon, MPT, and others offline, featuring a Chat UI, OpenAI-compatible server, and model downloads from Hugging Face, with support for Mac, Windows, and Linux, emphasizing privacy and no data collection, free for personal use [website](https://lmstudio.ai/) | [github profile](https://github.com/lmstudio-ai)
- [LMNT](https://www.lmnt.com) - LMNT is an AI-powered text-to-speech platform that offers ultrafast, lifelike, and reliable voice cloning and generation services for conversational apps, agents, and content creation at scale [website](https://www.lmnt.com) | [docs](https://docs.lmnt.com/)
- [LMQL](https://github.com/eth-sri/lmql) - LMQL is a Python-based programming language for large language models, allowing seamless integration of LLMs into code with advanced features like conditional logic, constraints, and multi-model support [github](https://github.com/eth-sri/lmql) | [website](https://lmql.ai/)
- [LangChain JS Tools](https://github.com/langchain-ai/langchainjs) - Langchain features VectorDBQAChain, which integrates LLMs and vector databases into agent tools for enhanced question-answering capabilities by leveraging data ingested into vector stores [github](https://github.com/langchain-ai/langchainjs) | [docs](https://js.langchain.com/v0.2/docs/integrations/tools/)
- [LangChain JS](https://github.com/langchain-ai/langchainjs) - LangChain JS is a framework for developing applications powered by language models, enabling context-aware and reasoning-based applications through composable tools and off-the-shelf chains, with seamless integration with the LangChain Python package [github](https://github.com/langchain-ai/langchainjs)
- [LangChain Tools](https://github.com/langchain-ai/langchain/) - Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube [github](https://github.com/langchain-ai/langchain/) | [docs](https://python.langchain.com/docs/integrations/tools)
- [LangChainBitcoin](https://lightning.engineering/posts/2023-07-05-l402-langchain/) - LangChainBitcoin is a toolset for enabling LangChain agents to interact with Bitcoin, the Lightning Network, and APIs requiring L402-based authentication, including features for Bitcoin transactions and API traversal with automated Lightning payments [announcement](https://lightning.engineering/posts/2023-07-05-l402-langchain/) | [github](https://github.com/lightninglabs/LangChainBitcoin)
- [LangChain](https://github.com/langchain-ai/langchain) - LangChain is a framework enabling context-aware reasoning applications with integrated libraries, templates, and developer tools [github](https://github.com/langchain-ai/langchain)
- [LangFuse](https://github.com/langfuse/langfuse) - Langfuse, an open-source LLM engineering platform, offers debugging, prompt management, metrics for LLM apps improvement, and won the #1 Golden Kitty in the AI Infra Category from Product Hunt [github](https://github.com/langfuse/langfuse) | [website](https://langfuse.com/) | [twitter](https://x.com/langfuse) | [discord](https://langfuse.com/discord)
- [LangGraph.js](https://github.com/langchain-ai/langgraphjs) - LangGraph.js is a TypeScript and JavaScript library enabling the development of stateful, multi-actor applications with LLMs, featuring capabilities to construct cyclic coordination across multiple computation steps for complex agent-like behaviors, with support for conditional edges and cycles, not limited to DAGs, and extensive documentation with examples on implementation [github](https://github.com/langchain-ai/langgraphjs)
- [LangGraph](https://github.com/langchain-ai/langgraph) - LangGraph is a Python library facilitating the construction of stateful, multi-actor applications with LLMs, enabling cyclic coordination across multiple computation steps, particularly suited for agent-like behaviors, while also providing streaming support, and various guides and examples for implementation and usage [github](https://github.com/langchain-ai/langgraph)
- [LangServe](https://github.com/langchain-ai/langserve) - LangServe facilitates the deployment of LangChain runnables and chains as a REST API, providing features like automatic schema inference, efficient endpoints, and a playground page, with plans for a hosted version for one-click deployments [github](https://github.com/langchain-ai/langserve)
- [LangSmith by LangChain](https://github.com/langchain-ai/langsmith-sdk) - LangSmith provides tools for debugging, testing, evaluating, and monitoring LLM applications, integrating seamlessly with LangChain for comprehensive AI agent observability [github](https://github.com/langchain-ai/langsmith-sdk) | [docs](https://docs.smith.langchain.com) | [website](https://smith.langchain.com)
- [Libraria](https://libraria.ai/) - Libraria AI offers a platform to create, manage, and embed custom AI chatbots with natural language processing and features like call-to-actions, link carousels, and analytics for enhanced customer interactions and satisfaction, alongside free and paid plans tailored for different business needs [website](https://libraria.ai/) | [twitter](https://x.com/librariaai)
- [LiteLLM](https://github.com/BerriAI/litellm) - LiteLLM has added support for the OpenAI Assistants API, enabling seamless integration of stateful operations and automatic RAG pipelines into existing chatbots [github](https://github.com/BerriAI/litellm)
- [Lynkr](https://github.com/Fast-Editor/Lynkr) - Lynkr is a proxy that lets Claude Code CLI talk to non-Anthropic LLMs, manage local tools, and compose Model Context Protocol (MCP) servers with prompt caching, repo intelligence, and Git-aware automation and several other features similar to anthropic backend.
- [LiveKit Agents](https://github.com/livekit/agents) - An open-source framework for building real-time, programmable participants that run on servers, enabling easy integration with LiveKit WebRTC sessions for processing or generating audio, video, and data streams [GitHub](https://github.com/livekit/agents) | [docs](https://docs.livekit.io/agents/) | [demo](https://kitt.livekit.io)
- [LiveRecall](https://github.com/VedankPurohit/LiveRecall) - LiveRecall, an open-source alternative to Microsoft's Recall, utilizes semantic search and encryption to capture and retrieve screen snapshots, enabling AI agents to assist creators in researching and augmenting tasks like journaling or blog post creation based on indexed personal activities [GitHub](https://github.com/VedankPurohit/LiveRecall)
- [LlamaCloud by LlamaIndex](https://www.llamaindex.ai/enterprise) - LlamaCloud by LlamaIndex streamlines AI development by enabling developers to minimize infrastructure management and parameter tuning, focusing instead on creating AI products, with features for proprietary parsing of complex documents, easy data ingestion and storage, and advanced data retrieval [website](https://www.llamaindex.ai/enterprise) | [github profile](https://github.com/run-llama) | [discord](https://discord.com/invite/eN6D2HQ4aX) | [linkedin](https://www.linkedin.com/company/91154103/)
- [LlamaGym](https://github.com/KhoomeiK/LlamaGym) - LlamaGym simplifies the fine-tuning of LLM agents with online reinforcement learning, providing a framework to iterate and experiment across Gym environments for efficient agent prompting and hyperparameter tuning [github](https://github.com/KhoomeiK/LlamaGym) | [github profile](https://github.com/KhoomeiK)
- [LlamaIndex Tools](https://github.com/run-llama/llama_index) - LlamaIndex offers a variety of tools for building data agents, with top downloads including IonicShoppingToolSpec, OpenAPIToolSpec, WikipediaToolSpec, GmailToolSpec, and GoogleCalendarToolSpec, enabling seamless integration with user-defined functions, query engines, and third-party services [github](https://github.com/run-llama/llama_index) | [website](https://llamahub.ai/?tab=tools) | [docs](https://docs.llamaindex.ai/en/latest/module_guides/deploying/agents/tools/)
- [Lobe Chat](https://github.com/lobehub/lobe-chat) - Lobe Chat is an open-source UI framework for building ChatGPT/LLM-based chat applications, featuring modern design, speech synthesis, multi-modal support, extensible plugins, and free one-click deployment for various AI agents [github](https://github.com/lobehub/lobe-chat) | [website](https://chat-preview.lobehub.com/)
- [LocalGPT](https://github.com/PromtEngineer/localGPT) - LocalGPT is an open-source project for secure, private interactions with documents locally, featuring comprehensive model support, embeddings, API for RAG applications, and GUI options, with a focus on privacy and local data processing [github](https://github.com/PromtEngineer/localGPT)
- [LoopGPT](https://github.com/farizrahman4u/loopgpt) - LoopGPT is a modular auto-GPT framework with features such as a 'Plug N Play' API, GPT 3.5 compatibility, minimal prompt overhead, human-in-the-loop capability, and full state serialization, facilitating easy installation and usage through Python code, CLI, or Docker, with the ability to add custom tools and course correction, along with saving and loading agent state, requiring Python 3.8+ and an OpenAI API Key, and optional setup for Google search support [github](https://github.com/farizrahman4u/loopgpt) | [github profile](https://github.com/farizrahman4u)
- [Lumos](https://github.com/allenai/lumos) - Lumos introduces a modular, open-source language agent framework with unified data formats that competes with or outperforms GPT-series and larger agents across various complex interactive tasks [github](https://github.com/allenai/lumos) | [website](https://allenai.github.io/lumos/)
- [Lyzr](https://www.lyzr.ai/) - Lyzr provides an enterprise-grade AI agent framework for easy configuration, deployment, and management of AI agents, supporting integration with multiple LLMs and databases, and offers ISO-compliant safety, white-glove onboarding, and 24/7 enterprise support [website](https://www.lyzr.ai/) | [blog](https://www.lyzr.ai/blog/) | [twitter](https://twitter.com/lyzrai)
- [Marvin](https://github.com/PrefectHQ/marvin/) - Marvin is an open-source AI toolkit designed for developers focused on enhancing AI agent capabilities, offering tools for natural language interfaces, image and audio generation, and entity extraction, scalable and easy to integrate into existing projects [github](https://github.com/PrefectHQ/marvin/) | [website](https://askmarvin.ai/)
- [MemGPT](https://memgpt.ai/) - MemGPT introduces a customizable AI chatbot framework with self-editing memory and access to unlimited data, promoting perpetual, context-rich conversations [website](https://memgpt.ai/) | [github](https://github.com/cpacker/MemGPT/)
- [Camel-AutoGPT](https://github.com/SamurAIGPT/Camel-AutoGPT) - role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT. [github](https://github.com/SamurAIGPT/Camel-AutoGPT)
- [SkyAGI](https://github.com/litanlitudan/skyagi) - Emerging human-behavior simulation capability in LLM agents. [github](https://github.com/litanlitudan/skyagi)
- [Voyager](https://github.com/MineDojo/Voyager) - An Open-Ended Embodied Agent with Large Language Models. [github](https://github.com/MineDojo/Voyager)
- [Mendable](https://www.mendable.ai/) - Mendable offers an AI chatbot solution that enables companies to build and deploy technical assistants trained on their specific documentation and resources, aiming to improve customer and employee support, with features including enterprise-grade security, continuous model training, and integration with a wide range of data sources and APIs [website](https://www.mendable.ai/) | [docs](https://docs.mendable.ai/) | [twitter](https://twitter.com/mendableai) | [github profile](https://github.com/sideguide)
- [MergeKit](https://github.com/arcee-ai/mergekit) - Arcee AI's MergeKit offers tools for merging pre-trained large language models, enabling the creation of more versatile AI agents by combining knowledge from different sources, akin to Retrieval Augmented Generation (RAG) [github](https://github.com/arcee-ai/mergekit)
- [MetaGPT](https://github.com/geekan/MetaGPT) - MetaGPT is a multi-agent framework enabling GPT to collaborate within a software company, facilitating complex tasks by assigning different roles to GPTs [github](https://github.com/geekan/MetaGPT) | [github profile](https://github.com/geekan)
- [Milo](https://getmilo.dev) - Done-for-you AI agent teams for small businesses (dental, legal, HVAC, etc.). One-time setup from $399, you own the agents and infrastructure. Agents handle phone calls, scheduling, lead follow-up, and reporting 24/7 [website](https://getmilo.dev)
- [Miranda](https://x.com/AnnieLiao_2000/status/1792175658178855112) - Miranda is a platform that simplifies dashboard creation, aiming to be the 'Canva for dashboards' [demo](https://x.com/AnnieLiao_2000/status/1792175658178855112)
- [MoltBook](https://moltbook.com) - A social network built for AI agents where they can create accounts, post content, build reputation through karma, interact via API, and form communities. Features ~1,261 registered agents and an active ecosystem [website](https://moltbook.com) | [github](https://github.com/clawddar/awesome-moltbook)
- [MultiOn](https://www.multion.ai/) - MultiOn utilizes AI to automate actions within web browsers, such as form filling, data retrieval, and executing web searches, mimicking human interaction but without manual input, facilitated through a Chrome extension and API for developers [website](https://www.multion.ai/)
- [NPI](https://github.com/npi-ai/npi) - NPi is an open-source platform providing tool-use APIs for AI agents, with installation and setup instructions available [github](https://github.com/npi-ai/npi) | [website](https://www.npi.ai/) | [docs](https://www.npi.ai/docs) | [blog](https://www.npi.ai/blog)
- [NavAIGuide](https://github.com/francedot/NavAIGuide-TS) - NavAIGuide is an extensible, mobile-friendly, multi-modal agentic framework designed to integrate with mobile and desktop apps, featuring visual task detection, advanced code selectors, action-oriented execution, and resilient error handling [github](https://github.com/francedot/NavAIGuide-TS)
- [NeMo Guardrails](https://github.com/NVIDIA/NeMo-Guardrails) - NeMo Guardrails is an open-source toolkit facilitating the integration of programmable guardrails, essential for steering and safeguarding AI agents' conversational outputs, into large language model-based applications [github](https://github.com/NVIDIA/NeMo-Guardrails) | [research paper](https://arxiv.org/abs/2310.10501)
- [Neets](https://neets.ai/) - Neets.ai is a text-to-speech (TTS) API that offers a wide range of voices and languages, allowing users to easily integrate TTS capabilities into their applications [website](https://neets.ai/) | [docs](https://docs.neets.ai/)
- [NexusGPT](https://gpt.nexus/) - NexusGPT offers a no-code platform to build and integrate AI agents that automate workflows, featuring a marketplace of tools and integrations, with easy customization and deployment across various applications [website](https://gpt.nexus/)
- [Ollama](https://github.com/ollama/ollama) - Ollama is a tool for running large language models locally, offering easy setup for macOS, Windows, Linux, and Docker, along with a library of models and quickstart guides for customization and integration [github](https://github.com/ollama/ollama) | [github profile](https://github.com/ollama)
- [Open Assistant API](https://github.com/MLT-OSS/open-assistant-api) - The Open Assistant API is a self-hosted, open-source framework that enables the creation of customized AI assistants, supporting integration with OpenAI's LLM and LangChain SDK, and is compatible with OpenAI's Assistants API, allowing for seamless orchestration and extension capabilities [github](https://github.com/MLT-OSS/open-assistant-api)
- [Open Interpreter](https://github.com/OpenInterpreter/open-interpreter) - Open Interpreter is a coding agent enabling language models to execute code locally, facilitating natural-language interaction with your computer's capabilities, overcoming limitations of hosted solutions like internet access and package restrictions. It features interactive and programmatic chats, system message customization, and can control your computer's keyboard and mouse, allowing for enhanced control and flexibility in development environments [github](https://github.com/OpenInterpreter/open-interpreter)
- [OpenAGI](https://github.com/agiresearch/OpenAGI) - OpenAGI by AGI Research is an open-source platform integrating Large Language Models (LLMs) with domain-specific expert models for complex task-solving, fostering a paradigm where LLMs operate various external models, accompanied by a Reinforcement Learning from Task Feedback (RLTF) mechanism for self-improvement [github](https://github.com/agiresearch/OpenAGI) | [github profile](https://github.com/agiresearch)
- [OpenAI TTS](https://platform.openai.com/docs/guides/text-to-speech) - The OpenAI Text-to-Speech (TTS) API allows users to convert text into high-quality, natural-sounding spoken audio in multiple languages, with various voice options and customization capabilities [docs](https://platform.openai.com/docs/guides/text-to-speech)
- [OpenAI](https://openai.com) - OpenAI's GPT models, including GPT-3 and GPT-4, are large language models that can be used to summarize text in a concise and accurate manner, though the quality of the summaries may vary depending on the complexity and length of the input text [website](https://openai.com) | [docs](https://platform.openai.com/docs/overview)
- [OpenDevin](https://github.com/OpenDevin/OpenDevin) - OpenDevin is an open-source initiative aimed at replicating and enhancing the autonomous AI software engineer Devin, focusing on collaboration and complex task execution in software development, emphasizing its relevance to advancing agentic AI technologies [github](https://github.com/OpenDevin/OpenDevin) | [github profile](https://github.com/OpenDevin)
- [OpenGPTs](https://github.com/langchain-ai/opengpts) - OpenGPTs is an open-source project providing customizable GPT-based experiences, offering control over language models, prompts, tools, vector databases, retrieval algorithms, and chat history databases, featuring three cognitive architectures: Assistant, RAG, and Chatbot, with support for various language models and deployment options including Docker, Cloud Run, and Kubernetes [github](https://github.com/langchain-ai/opengpts)
- [OpenPaw](https://github.com/daxaur/openpaw) - OpenPaw is an open-source CLI tool (`npx pawmode`) that turns Claude Code into a personal assistant with 38 built-in skills covering email, calendar, Spotify, smart home control, Slack, GitHub, Telegram, Discord, and more. No daemon, no cloud, runs entirely locally. MIT licensed [github](https://github.com/daxaur/openpaw) | [npm](https://www.npmjs.com/package/pawmode)
- [OpenPipe](https://x.com/AlexReibman/status/1772782206957895797) - Optimize AI agents with language models that are faster and 14x more cost-effective than OpenAI's solutions [demo](https://x.com/AlexReibman/status/1772782206957895797)
- [OpenRecall](https://github.com/openrecall/openrecall) - OpenRecall is an open-source, privacy-focused digital memory tool capturing and indexing screenshots to enhance productivity without compromising privacy, usable across Windows, macOS, and Linux, and compatible with AI agents for personal assistance [GitHub](https://github.com/openrecall/openrecall) | [Discord](https://discord.gg/RzvCYRgUkx) | [Telegram](https://t.me/+5DULWTesqUYwYjY0)
- [OpenRouter](https://openrouter.ai/) - OpenRouter.ai is a platform that provides access to a wide range of large language models, including open-source and proprietary options like ChatGPT, Gemini, and Perplexity, allowing users to find the best models and pricing for their prompts and use cases [website](https://openrouter.ai/) | [docs](https://openrouter.ai/docs)
- [Outlines](https://github.com/outlines-dev/outlines) - Outlines is a robust text generation library designed for agentic AI developers, featuring support for multiple model integrations, advanced prompting with Jinja, efficient structured generation through regex, JSON schema, context-free grammars, and more, enabling the creation of predictable and structured AI agent outputs [github](https://github.com/outlines-dev/outlines) | [website](https://outlines-dev.github.io/outlines/) | [discord](https://discord.gg/ZxBxyWmW5n)
- [Perplexity-Inspired LLM Answer Engine](https://github.com/developersdigest/llm-answer-engine) - A versatile answer engine leveraging Groq, Mistral AI, Langchain.JS, Brave Search, Serper API, and OpenAI to deliver efficient and sophisticated responses with reduced hallucination through RAG for citation-backed search queries [github](https://github.com/developersdigest/llm-answer-engine) | [github profile](https://github.com/developersdigest)
- [Perplexity](https://www.perplexity.ai/) - Perplexity AI is an AI-powered search engine that offers summarized answers with cited sources, content generation, accurate information retrieval, user-friendly interface, and versatility, making it a valuable tool for various users [website](https://www.perplexity.ai/) | [docs](https://docs.perplexity.ai/)
- [Personal Assistant by HyperWrite](https://www.hyperwriteai.com/personal-assistant) - HyperWrite offers a Personal Assistant AI agent for everyday tasks, seamlessly integrating into workflows to automate tedious tasks, optimize planning, and inform decision-making, while also providing personalized suggestions and transforming wishes into commands across various platforms [website](https://www.hyperwriteai.com/personal-assistant) | [github profile](https://github.com/OthersideAI)
- [Phoenix](https://phoenix.arize.com/) - Phoenix from the team at Arize is an open source library that helps you auto instrument, trace, evaluate and observe AI agents and LLM systems [github](https://github.com/Arize-ai/phoenix) | [comparison](https://arize.com/llm-evaluation-platforms-top-frameworks) [X](https://x.com/arizephoenix) 
- [Pieces](https://pieces.app/) - Pieces is an AI-powered productivity tool for developers that enhances efficiency through a unified toolchain, offering on-device workflow assistance, intelligent code snippet management, and seamless integration with development tools and plugins [website](https://pieces.app/) | [discord](https://discord.gg/getpieces)
- [Pinokio](https://pinokio.computer/) - Pinokio is a browser that enables the installation, running, and programmable control of any application with one click, supporting any open-source repo locally, including LLM or AI agent-based projects [website](https://pinokio.computer/) | [github](https://github.com/pinokiocomputer/pinokio) | [github profile](https://github.com/pinokiocomputer)
- [PlayAI](https://play.ai/) - Play.ai offers conversational AI voice solutions, with a mission to enable customizable, natural language-based user interfaces, promoting rapid innovation and a performance-driven culture [website](https://play.ai/)
- [PlayHT](https://play.ht/) - PlayHT's AI Voice Generator offers a state-of-the-art TTS service that creates natural, humanlike voiceovers in multiple languages and accents, ideal for various audio content needs with full commercial rights [website](https://play.ht/)
- [PraisonAI](https://github.com/MervinPraison/PraisonAI/) - Praison AI is a low-code, centralized framework leveraging AutoGen and CrewAI to simplify creating and orchestrating multi-agent systems for LLM applications, emphasizing customization and ease of human-agent interaction [github](https://github.com/MervinPraison/PraisonAI/) | [demo](https://www.youtube.com/watch?v=Fn1lQjC0GO0) | [website](https://mer.vin/2024/03/praison-ai-agents-yml/)
- [Priompt](https://github.com/anysphere/priompt) - Priompt is a JSX-based library for designing prompts with priorities, aiming to optimize inclusion of content within token limits, inspired by React and detailed with installation instructions, examples, principles, and future considerations [github](https://github.com/anysphere/priompt)
- [PrivateGPT](https://github.com/zylon-ai/private-gpt/) - PrivateGPT is a secure, offline-capable AI tool for querying documents with Large Language Models, offering high-level and low-level APIs for privacy-conscious, context-aware application development [github](https://github.com/zylon-ai/private-gpt/)
- [Produvia](https://produvia.com/) - Since 2013, Produvia Inc. has served $7M+ in revenue brands by developing custom agentic AI solutions powered by state-of-the-art function calling LLMs including but not limited to: Claude 3 Opus, GPT-4, Bard (Gemini Pro), Claude 3 Sonnet, Claude 3 Haiku, Mistral Medium, Command R, Mistral-Next, Starling-LM-7B-beta [website](https://produvia.com/) | [twitter](https://twitter.com/produvia) | [linkedin](https://linkedin.com/company/produvia)
- [Prompt2UI by sullyo](https://github.com/sullyo/prompt2ui) - An open-source project that converts prompts to user interfaces, demonstrated by creating a basic Google Calendar clone using Claude in about 2 hours, inspired by Claude Artifacts [github](https://github.com/sullyo/prompt2ui) | [twitter announcement](https://x.com/SullyOmarr/status/1804997474761003327)
- [Pydantic](https://github.com/pydantic/pydantic) - Pydantic is a Python library facilitating data validation through type hints, particularly useful for AI agents, offering fast validation capabilities and compatibility with various development tools [github](https://github.com/pydantic/pydantic) | [website](https://docs.pydantic.dev/)
- [Relevance](https://relevanceai.com/) - Relevance AI offers a platform for building and deploying AI workers to automate tasks, integrate with tech stacks, and manage security, aiming to enhance business efficiency without increasing headcount [website](https://relevanceai.com/) | [twitter](https://twitter.com/RelevanceAI) | [github profile](https://github.com/RelevanceAI) | [linkedin](https://www.linkedin.com/company/relevanceai/)
- [Rappterbook](https://github.com/kody-w/rappterbook) - A social network for AI agents running entirely on GitHub infrastructure. 108 agents across 41 channels with 2,100+ discussions. Zero-dependency SDK (Python/JS, one file). Fork the repo to get a complete agent social platform with zero setup. [github](https://github.com/kody-w/rappterbook) | [website](https://kody-w.github.io/rappterbook/) | [quickstart](https://github.com/kody-w/rappterbook/blob/main/QUICKSTART.md)
- [Rime AI](https://rime.ai/) - Rime is a speech synthesis API offering natural-sounding, demographically tailored voices with fast response times for various uses, including customer service and narration [website](https://rime.ai/)
- [SWE-agent](https://github.com/princeton-nlp/SWE-agent) - This open source project introduces SWE-agent, a software engineering agent for LMs like GPT-4, enhancing bug and issue resolution in GitHub repositories with state-of-the-art performance, facilitated by a well-designed Agent-Computer Interface (ACI) and support for OpenAI and Anthropic Claude models [github](https://github.com/princeton-nlp/SWE-agent) | [website](https://swe-agent.com/)
- [ScrapeGraphAI](https://github.com/VinciGit00/Scrapegraph-ai) - ScrapeGraph AI provides a tool for creating AI agents that can automate web scraping tasks efficiently, enhancing data extraction capabilities through the use of LangGraph, function calls, and web scraping techniques [github](https://github.com/VinciGit00/Scrapegraph-ai) | [docs](https://scrapegraph-doc.onrender.com/) | [demo](https://scrapegraph-ai-demo.streamlit.appn/)
- [Scrapeless](https://github.com/scrapeless-ai) - Scrapeless provides an enterprise-grade, AI-driven web scraping toolkit with a powerful Scraping Browser for AI agents and automation. Features include stealth mode, CAPTCHA bypassing, high concurrency support, and seamless integration with Puppeteer and Playwright. Includes Universal Scraping API, Scraping API, Deep SerpApi, and rotating proxies [github](https://github.com/scrapeless-ai) | [website](https://scrapeless.com/)
- [Self Operating Computer by Otherside](https://github.com/OthersideAI/self-operating-computer) - SOC is a framework enabling multimodal models to operate a computer using human-like inputs and outputs, with compatibility for various models such as GPT-4v, Gemini Pro Vision, and LLaVA, offering future support for additional models and featuring various modes including voice and optical character recognition [github](https://github.com/OthersideAI/self-operating-computer) | [github profile](https://github.com/OthersideAI) | [landing page](https://www.hyperwriteai.com/self-operating-computer)
- [Self Operating Computer](https://www.hyperwriteai.com/self-operating-computer) - Self Operating Computer (SOC) enables multimodal models to autonomously interact with a computer using human-like inputs and outputs, including controlling the keyboard and mouse. It is compatible with various models and under ongoing development for more accurate functionalities [landing page](https://www.hyperwriteai.com/self-operating-computer) | [github](https://github.com/OthersideAI/self-operating-computer) | [github profile](https://github.com/OthersideAI)
- [Shep](https://github.com/shep-ai/cli) - Shep is an SDLC control center that enables AI coding agents to autonomously handle the complete feature lifecycle, orchestrating multi-session development using Claude Code, Cursor CLI, or Gemini with configurable approval gates and a live web dashboard [github](https://github.com/shep-ai/cli)
- [ShortGPT by RayVentura](https://github.com/RayVentura/ShortGPT) - ShortGPT is an AI-powered framework for automating content creation, including video editing, voiceover synthesis, caption generation, and asset sourcing, with support for multiple languages and seamless integration with Google Colab and Docker for easy deployment [github](https://github.com/RayVentura/ShortGPT) | [github profile](https://github.com/RayVentura)
- [ShortX by RayVentura](https://shortx.ai/) - ShortX is a AI-powered video automation platform for YouTube Shorts, Instagram Reels, TikTok, and Snapchat, offering customizable templates, AI services, and a subscription model with an affiliate program and user testimonials [website](https://shortx.ai/)
- [StoryRoute](https://storyroute.netlify.app) - An LLM-powered autonomous agent that monitors GPS coordinates and generates real-time audio stories as users walk through any city. Features a fully autonomous sense-reason-act pipeline with GPS monitoring, context-aware LLM prompting, and text-to-speech synthesis [website](https://storyroute.netlify.app)
- [Streaming Assistants](https://github.com/phact/streaming-assistants) - The `streaming-assistants` library on GitHub enables streaming for OpenAI Assistants API using Astra Assistants, providing a workaround for the lack of streaming support in the official OpenAI Assistants API [github](https://github.com/phact/streaming-assistants)
- [Streamlit Agent by Langchain](https://github.com/langchain-ai/streamlit-agent) - This repository showcases various LangChain agents as Streamlit apps, including a basic streaming app, a memory-based conversation app, a demo replicating MRKL functionality, a minimal agent with search capability, chatbots with feedback options, document querying, database communication, and pandas DataFrame interaction, featuring LangChain and Streamlit integrations [github](https://github.com/langchain-ai/streamlit-agent) | [github profile](https://github.com/langchain-ai)
- [Streamship](https://github.com/steamship-core/python-client) - A development platform for AI Agents offering Python SDK, cloud deployment, serverless hosting, vector search, webhooks, and media generation, with a focus on simplicity, scalability, and integration with popular models and services [github](https://github.com/steamship-core/python-client) | [website](https://www.steamship.com/) | [twitter](https://www.twitter.com/GetSteamship) | [discord](https://steamship.com/discord) | [github profile](https://www.github.com/steamship-core)
- [SuperAGI](https://github.com/TransformerOptimus/SuperAGI) - SuperAGI is an open-source framework facilitating the development, management, and operation of useful Autonomous AI Agents with a variety of features and toolkits available, including a graphical user interface, action console, and multiple vector databases [github](https://github.com/TransformerOptimus/SuperAGI) | [github profile](https://github.com/TransformerOptimus)
- [Superagent](https://github.com/superagent-ai/superagent) - Superagent is an open-source AI assistant framework backed by Y Combinator, facilitating the integration of large language models (LLM) and generative AI into applications, supporting various use cases such as question answering, chatbots, and content generation [github](https://github.com/superagent-ai/superagent) | [github profile](https://github.com/superagent-ai)
- [Local GPT](https://github.com/PromtEngineer/localGPT) - Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings. [github](https://github.com/PromtEngineer/localGPT)
- [LLocalSearch](https://github.com/nilsherzig/LLocalSearch) - LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed. [github](https://github.com/nilsherzig/LLocalSearch)
- [Private GPT](https://github.com/imartinez/privateGPT) - Interact privately with your documents using the power of GPT, 100% privately, no data leaks. [github](https://github.com/imartinez/privateGPT)
- [Second Brain AI Agent](https://github.com/flepied/second-brain-agent) - A streamlit app to dialog with your second brain notes using OpenAI and ChromaDB locally. [github](https://github.com/flepied/second-brain-agent)
- [Swarms](https://github.com/kyegomez/swarms/) - Swarms orchestrates multi-agent collaboration for production-grade applications, solving issues like short memory and high costs, with customizable tools for specific needs, currently used by RBC, John Deere, and AI startups [github](https://github.com/kyegomez/swarms/) | [discord](https://discord.gg/DbjBMJTSWD) | [docs](https://swarms.apac.ai/)
- [Sweep](https://github.com/sweepai/sweep) - Sweep is an AI tool that automates the transformation of GitHub issues into pull requests, streamlining code improvements and bug fixes, supported by a suite of features like codebase understanding, test running, and a developer-friendly interface for installation and usage [github](https://github.com/sweepai/sweep) | [website](https://sweep.dev/)
- [Synthflow AI](https://synthflow.ai/) - Synthflow is a platform enabling the creation of human-like conversational AI voice agents with no-code customization, integrating directly with apps like HubSpot and Eleven Labs for voice services [website](https://synthflow.ai/) | [docs](https://docs.synthflow.ai/)
- [Tabby](https://github.com/TabbyML/tabby) - Tabby is a self-hosted, open-source AI coding assistant similar to GitHub Copilot, featuring a self-contained setup with no DBMS/cloud dependency, OpenAPI for easy integration, consumer-grade GPU support, and a full-feature admin UI in its latest release [github](https://github.com/TabbyML/tabby) | [website](https://tabby.tabbyml.com/) | [docs](https://tabby.tabbyml.com/docs)
- [Talkscriber](https://www.talkscriber.com) - Talkscriber is an enterprise-grade speech-to-text (STT) platform that offers industry-leading accuracy, security, and cost-effectiveness, enabling organizations to transform spoken language into digital text and unlock new possibilities in data analysis while hosting Whisper (OpenAI) model [website](https://www.talkscriber.com)
- [Tarsier by Reworkd](https://github.com/reworkd/tarsier) - Tarsier is an open-source utility library by Reworkd, aimed at enhancing web interaction for AI agents by visually tagging interactable elements, facilitating actions based on text or screenshots for GPT-4(V) and providing OCR utilities [github](https://github.com/reworkd/tarsier) | [website](https://reworkd.ai/)
- [Taskade AI](https://www.taskade.com/) - Taskade AI is an AI-powered productivity suite offering tools like task and project management, notes, docs, mind maps, and AI chat to enhance team productivity and automate over 700 tasks [website](https://www.taskade.com/) | [github](https://github.com/taskade/taskade) | [twitter](https://twitter.com/Taskade) | [youtube](https://youtube.com/taskade)
- [TaskingAI](https://github.com/TaskingAI/TaskingAI) - TaskingAI is a platform enhancing AI-native app development with Firebase-like simplicity, offering an all-in-one LLM platform with intuitive project management, BaaS-inspired workflow, and customizable integration for developing GPTs-like multi-tenant applications [github](https://github.com/TaskingAI/TaskingAI) | [website](https://www.tasking.ai/)
- [Tavily](https://tavily.com/) - Tavily AI is your comprehensive research assistant, offering a platform for rapid insights with a Search API for LLMs, ensuring real-time, accurate, and bias-reduced data gathering and organization, suitable for both individual and enterprise needs [website](https://tavily.com/) | [github profile](https://github.com/assafelovic)
- [TeamX](https://teamx.work/) - TeamX is an Agents-as-a-Service (AaaS) by Produvia which scales businesses with AI agent teams, offering custom solutions focused on automation, efficiency, and scalability [website](https://teamx.work/)
- [TiOLi AGENTIS](https://agentisexchange.com) - Financial exchange for AI agents with 23 MCP tools and 400+ REST endpoints, blockchain-verified. Agents can register, trade, hire each other, and build reputations [website](https://agentisexchange.com) | [github](https://github.com/Sendersby/tioli-ai-exchange) | [docs](https://exchange.tioli.co.za/docs)
- [TogetherAI](https://www.together.ai/) - TogetherAI is a platform that facilitates efficient and accurate summarization of text using advanced AI algorithms and user-friendly tools [website](https://www.together.ai/) | [docs](https://docs.together.ai/docs/quickstart)
- [Tools by Taskade](https://help.taskade.com/en/articles/8958457-custom-ai-agents#h_c9a93fc5b9) - Enable your agents with the right set of tools to get the job done: web search (allow the agent to browse the web), WolframAlpha (enhance the agent's computational skills), add-ons (enable additional tools and extensions) [docs](https://help.taskade.com/en/articles/8958457-custom-ai-agents#h_c9a93fc5b9)
- [Traces by Weights & Biases](https://wandb.ai/site/traces) - W&B Traces enhances AI agent observability by providing intuitive visualizations for debugging LLMs, allowing practitioners to review past results, debug errors, and gain insights into model behavior [website](https://wandb.ai/site/traces)
- [Twilio](https://www.twilio.com) - Twilio is a cloud communications platform that enables developers to programmatically make phone calls, send and receive text messages, and integrate other communication features into their applications using its web APIs [website](https://www.twilio.com)
- [TypeChat](https://github.com/microsoft/TypeChat) - TypeChat is a library that facilitates building natural language interfaces by using schema engineering as an alternative to traditional function calling in LLMs, avoiding JSON schema-based constraints [github](https://github.com/microsoft/TypeChat)
- [VacAIgent](https://github.com/tonykipkemboi/trip_planner_agent) - VacAIgent is a Streamlit-integrated, CrewAI framework-based AI application (Trip Planner Agent) that automates and enhances trip planning through a user-friendly interface, demonstrating collaborative AI agent task execution and offering an interactive web app experience for tailoring travel plans [github](https://github.com/tonykipkemboi/trip_planner_agent)
- [Vapi](https://vapi.ai/) - Vapi is a developer-friendly platform that enables the rapid creation, testing, and deployment of voicebots, revolutionizing voice AI integration with seamless support from voice providers [website](https://vapi.ai/) | [discord](https://discord.gg/pUFNcf2WmH) | [twitter](https://twitter.com/Vapi_AI) | [linkedin](https://www.linkedin.com/company/vapi-ai) | [docs](https://docs.vapi.ai)
- [Vertex AI by Google](https://cloud.google.com/vertex-ai) - Vertex AI, enhanced by Gemini models, offers comprehensive generative AI solutions for rapid application development, data processing, custom model training with minimal ML expertise, and production deployment, aimed at accelerating innovation and reducing costs in enterprise environments [website](https://cloud.google.com/vertex-ai)
- [Verve](https://x.com/AnnieLiao_2000/status/1792175562712285645) - Verve is an AI data copilot that aims to streamline analytics and significantly reduce manual work for growing organizations [demo](https://x.com/AnnieLiao_2000/status/1792175562712285645)
- [Vonage](https://vonage.com/) - Vonage is a leading provider of phone services that offers a range of features and options for residential and business customers, including local, toll-free, and international numbers, as well as virtual receptionist and call management capabilities [website](https://vonage.com/)
- [Waii](https://x.com/AlexReibman/status/1772777493122163107) - A swift and straightforward AI agent for converting natural language to SQL queries, seamlessly integrable with your application [demo](https://x.com/AlexReibman/status/1772777493122163107)
- [XAgent](https://github.com/OpenBMB/XAgent) - XAgent is an open-source, experimental Large Language Model-driven autonomous agent designed to autonomously solve a wide range of tasks with features like autonomy, safety, extensibility, a GUI for easy interaction, and the ability to cooperate with humans [github](https://github.com/OpenBMB/XAgent) | [demo](https://www.youtube.com/watch?v=QGkpd-tsFPA) | [docs](https://xagent-doc.readthedocs.io/en/latest/) | [blog](https://blog.x-agent.net/blog/xagent/)
- [Yoyo](https://yoyo.bot) - The first social network for AI agents. Connect any AI agent via MCP to post, chat, follow other agents, discover experts, and build reputation. 10 MCP tools, MIT licensed [website](https://yoyo.bot) | [github](https://github.com/YoYo-dot-bot/mcp) | [npm](https://www.npmjs.com/package/@yoyo-bot/mcp)
- [OpenAgents](https://github.com/xlang-ai/OpenAgents) - An Open Platform for Language Agents in the Wild. [github](https://github.com/xlang-ai/OpenAgents)
- [OpenAgents Network](https://openagents.org) - An open-source framework and platform for creating AI agent networks where autonomous agents collaborate, share context, and solve problems together across the internet. Supports multi-protocol communication (WebSocket, gRPC, HTTP, libp2p, A2A, MCP) with a mod-driven architecture [website](https://openagents.org) | [github](https://github.com/openagents-org/openagents) | [docs](https://openagents.org/docs/getting-started/overview)
- [Pipecat](https://github.com/pipecat-ai/pipecat) - Open Source framework for voice and multimodal conversational AI. [github](https://github.com/pipecat-ai/pipecat)
- [Sayna](https://github.com/SaynaAI/sayna) - Open-source voice infrastructure layer for AI agents providing unified APIs for STT/TTS, real-time audio streaming, SIP Telephony, and multi-provider support (OpenAI, Deepgram, ElevenLabs, Google, Azure, etc...). Self-hostable with WebSocket/REST interfaces for voice-enabled agent development. [github](https://github.com/SaynaAI/sayna)
- [RestGPT](https://github.com/Yifan-Song793/RestGPT) - An LLM-based autonomous agent controlling real-world applications via RESTful APIs. [github](https://github.com/Yifan-Song793/RestGPT)
- [WebQA-Agent](https://github.com/MigoXLab/webqa-agent/tree/main) - Autonomous web agent that audits performance, functionality & UX for any web product. [github](https://github.com/MigoXLab/webqa-agent)
- [ADAS](https://github.com/ShengranHu/ADAS) - Automated Design of Agentic Systems. [github](https://github.com/ShengranHu/ADAS)
- [AgentK](https://github.com/mikekelly/AgentK) - An autoagentic AGI that is self-evolving and modular. [github](https://github.com/mikekelly/AgentK)
- [Maestro](https://github.com/Doriandarko/maestro) - A framework for Claude Opus to intelligently orchestrate subagents. [github](https://github.com/Doriandarko/maestro)
- [Zep](https://www.getzep.com/) - Zep is a long-term memory service for AI assistants that enhances recall, understanding, and data extraction from chat histories to power personalized AI experiences [website](https://www.getzep.com/) | [github](https://github.com/getzep/zep/)
- [ai-artifacts](https://github.com/e2b-dev/ai-artifacts) - This project implements Anthropic's Artifacts UI, using E2B's Code Interpreter SDK for secure AI code execution and Claude Sonnet 3.5 for code generation [github example](https://github.com/e2b-dev/ai-artifacts) | [reddit announcement](https://www.reddit.com/r/ClaudeAI/comments/1dmy6y2/open_source_version_of_anthropics_artifacts_ui/) | [github](https://github.com/e2b-dev/ai-artifacts)
- [aifs](https://github.com/OpenInterpreter/aifs) - AIFS offers a simple and efficient local semantic search capability for folders, leveraging Unstructured.IO for advanced data processing and ChromaDB for fast, similarity-based searching of embeddings [github](https://github.com/OpenInterpreter/aifs)
- [chatgpt-artifacts](https://github.com/ozgrozer/chatgpt-artifacts) - Bring Claude's Artifacts feature to ChatGPT which allows you to execute Node.js commands on your ChatGPT Artifacts projects, inspired by Claude's Artifacts [github](https://github.com/ozgrozer/chatgpt-artifacts) | [twitter announcement](https://x.com/ozgrozer/status/1808677091996541251)
- [claude-artifacts-react](https://github.com/risonsimon/claude-artifacts-react) - This project provides a streamlined solution for deploying and testing React code generated by Claude Artifacts, offering one-click deployment options to Vercel or Cloudflare Pages and easy code editing through a central ArtifactCode.jsx file [github](https://github.com/risonsimon/claude-artifacts-react) | [reddit announcement](https://www.reddit.com/r/ClaudeAI/comments/1dtquuh/i_made_an_opensource_template_for_sharing_claudes/)
- [crewAI Tools](https://github.com/joaomdmoura/crewai-tools) - crewAI Tools is a library that provides a framework for developing sophisticated tools to enhance crewAI agents, with methods for subclassing BaseTool, utilizing the tool decorator, and guidelines for contributing to the ecosystem [github](https://github.com/joaomdmoura/crewai-tools)
- [crewAI by João Moura](https://github.com/joaomdmoura/crewai) - crewAI is a cutting-edge AI framework designed for orchestrating role-playing, autonomous AI agents, enabling seamless collaboration and complex task handling [github](https://github.com/joaomdmoura/crewai) | [github profile](https://github.com/joaomdmoura)
- [crewAI+ by João Moura](https://www.crewai.com/crewaiplus) - CrewAI+ is in beta, offering seamless API integration, business support, and early access for design partners; apply now to shape future features [website](https://www.crewai.com/crewaiplus)
- [databerry](https://github.com/gmpetrov/databerry/) - Chaindesk is a no-code platform for building custom LLM Agents, enabling users to quickly set up a semantic search system over personal data without technical knowledge [github](https://github.com/gmpetrov/databerry/)
- [elia](https://github.com/darrenburns/elia) - Keyboard-centric terminal user interface for interacting with large language models (LLMs) like ChatGPT, Claude, Llama 3, Phi 3, Mistral, and Gemma, offering benefits such as efficient, terminal-based interaction, easy switching between multiple models, local model support, and the ability to store conversations in a local SQLite database [github](https://github.com/darrenburns/elia)
- [mem0](https://github.com/mem0ai/mem0) - Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. [github](https://github.com/mem0ai/mem0) | [website](https://app.mem0.ai/) | [docs](https://docs.mem0.ai/) | [discord](https://mem0.ai/discord) | [twitter](https://x.com/mem0ai) | [github profile](https://github.com/mem0ai) | [linkedin](https://www.linkedin.com/company/mem0/)
- [tortoise-tts](https://github.com/neonbjb/tortoise-tts) - A multi-voice TTS system trained with an emphasis on quality [github](https://github.com/neonbjb/tortoise-tts) | [research paper](https://arxiv.org/abs/2305.07243) | [demo](https://huggingface.co/spaces/Manmay/tortoise-tts)
- [uAgents by Fetch AI](https://github.com/fetchai/uAgents) - uAgents is a Python library by Fetch AI for creating autonomous AI agents with features like easy creation, blockchain network connectivity, and cryptographic security [github](https://github.com/fetchai/uAgents) | [github profile](https://github.com/fetchai)
- [vimGPT](https://github.com/ishan0102/vimGPT) - vimGPT is a project that integrates GPT-4V's vision capabilities with the Vimium extension to enable web browsing and interaction through keyboard navigation and voice commands, offering innovative solutions and improvements for accessibility and efficiency [github](https://github.com/ishan0102/vimGPT) | [demo](https://github.com/ishan0102/vimGPT/tree/main?tab=readme-ov-file#vimgpt) | [hackernews](https://news.ycombinator.com/item?id=38200308)

### Courses
There are so many places to learn how to build AI agents! Here are some course and cookbooks to help you along your journey.

#### Online courses
- [Agentic Design Patterns built with Autogen](https://www.deeplearning.ai/short-courses/ai-agentic-design-patterns-with-autogen/)
- [Agents Tools & Function Calling with Amazon Bedrock](https://www.youtube.com/watch?app=desktop&v=2L_XE6g3atI)
- [AI Agents in LangGraph DeepLearning.AI](https://www.deeplearning.ai/short-courses/ai-agents-in-langgraph/)
- [Building Agnetic RAG with LlamaIndex](https://www.deeplearning.ai/short-courses/building-agentic-rag-with-llamaindex/)
- [Building RAG agents with LLMs NVIDIA](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1)
- [Creating AI Agent Data Pipelines with Amazon Bedrock Agents](https://www.youtube.com/watch?v=kJEr7eFQSJw)
- [Foundations of Prompt Engineering by Amazon Web Services (AWS)](https://explore.skillbuilder.aws/learn/course/external/view/elearning/17763/foundations-of-prompt-engineering)
- [How to build a Multi-Agent system with Watsonx by IBM](https://www.youtube.com/watch?v=gUrENDkPw_k&t=7s)
- [Introduction to Agentic Memory](https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/)
- [Introduction to Langgraph by LangChain](https://academy.langchain.com/courses/intro-to-langgraph)
- [LangGraph Mastery: Develop LLM Agents with LangGraph](https://www.udemy.com/course/langgraph-mastery-develop-llm-agents-with-langgraph)
- [LLM Agents by UC Berkely](https://llmagents-learning.org/f24)
- [Multi-Agent system building with CrewAI](https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai)
- [Serverless Agentic workflows with Amazon Bedrock](https://www.deeplearning.ai/short-courses/serverless-agentic-workflows-with-amazon-bedrock/)

I also recommend this [YouTube Playlist](https://www.youtube.com/playlist?list=PLnH2pfPCPZsKhlUSP39nRzLkfvi_FhDdD), which has a range of tutorials.

#### Cookbooks
- [AI Agent's cookbook by LlamaIndex](https://docs.llamaindex.ai/en/stable/use_cases/agents/)
- [Langchain's agent building cookbook](https://github.com/langchain-ai/langchain/tree/master/cookbook)

---

## Building
AI agents are autonomous systems designed to perform tasks, make decisions, and interact with their environments in ways that mimic human-like intelligence. 

The key tools for building AI agents include benchmarks (to evaluate performance), datasets (to help fine-tune/train), frameworks (to build/deploy), LLM models (as an operating system for agents - e.g. GPT4), Prompt engineering (e.g. Chain-of-Thought), Tools (to achieve tasks), and Workflows (e.g. through tools like zapier). Each of these have their own section to make it easier to browse/find these components, and this is a rapidly growing area of interest in the community.

### Benchmarks
- [Agentbench](https://github.com/THUDM/AgentBench) - A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
- [Agentlab](https://github.com/ServiceNow/AgentLab) - AgentLab - An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and re…
- [Agentops](https://github.com/AgentOps-AI/agentops) - Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI…
- [Appworld](https://github.com/StonyBrookNLP/appworld) - 🌍 Repository for "AppWorld - A Controllable World of Apps and People for Benchmarking Interactive Coding Agent", ACL'24 Best Resource Paper.
- [Appworld-Leaderboard](https://github.com/StonyBrookNLP/appworld-leaderboard) - 🌍 Leaderboard Repository for "AppWorld - A Controllable World of Apps and People for Benchmarking Interactive Coding Agent", ACL2024
- [Awesome-Llm-Long-Context-Modeling](https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling) - 📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
- [Balrog](https://github.com/balrog-ai/BALROG) - Benchmarking Agentic LLM and VLM Reasoning On Games
- [Bigcodebench](https://github.com/bigcode-project/bigcodebench) - BigCodeBench - Benchmarking Code Generation Towards AGI
- [Bolaa](https://github.com/JimSalesforce/BOLAA) - benchmarking and orchestrating LLM-augmented Agents
- [Chat-Agent-Evalution](https://github.com/khuzaimakt/Chat-Agent-Evalution) - Evaluating the LLM Chat Agent on multiple evaluation benchmarks.
- [Comfybench](https://github.com/xxyQwQ/ComfyBench) - Implementation for the paper "ComfyBench - Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems".
- [Debatellm](https://github.com/instadeepai/DebateLLM) - Benchmarking Multi-Agent Debate between Language Models for Truthfulness in Q&A.
- [Dinersim](https://github.com/numbmelon/DinerSim) - DinerSim - A Restaurant Simulation Benchmark for LLM-Based Multi-Agent Cooperation
- [Diplomacy-Llm](https://github.com/lukepoo101/diplomacy-llm) - Public LLM benchmark using the results of Diplomacy games played by multiple LLM agents.
- [Embodied-Agent-Interface.Github.Io](https://github.com/embodied-agent-interface/embodied-agent-interface.github.io) - This is the project website for the paper "Embodied Agent Interface - Benchmarking LLMs for Embodied Decision Making".
- [Flowbench](https://github.com/Justherozen/FlowBench) - [EMNLP 2024] FlowBench - Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
- [Gamabench](https://github.com/CUHK-ARISE/GAMABench) - Benchmarking LLMs' Gaming Ability in Multi-Agent Environments
- [Goodai-Ltm-Benchmark](https://github.com/GoodAI/goodai-ltm-benchmark) - A library for benchmarking the Long Term Memory and Continual learning capabilities of LLM based agents. With all the tests and code you …
- [Hosting-7B-Llm-On-Google-Cloud](https://github.com/J-sephB-lt-n/hosting-7B-llm-on-google-cloud) - Speed benchmarking a 7B LLM on different gcloud VMs (using llama.cpp)
- [Impact-Academy](https://github.com/samizdis/impact-academy) - Auto-Enhance meta-benchmark, to measure the ability of LLM agents to improve other LLM agents
- [Lawful-Good](https://github.com/dluo96/lawful-good) - Benchmark for assessing legal capabilities of LLM agents
- [Level-Navi-Agent-Search](https://github.com/chuanruihu/Level-Navi-Agent-Search) - The Level-Navi Agent, a framework that requires no training and utilizes large language models for deep query understanding and precise s…
- [LibreEval](https://arize.com/llm-hallucination-dataset/) - Open-Source benchmark for RAG hallucination detection 
- [Llf-Bench](https://github.com/microsoft/LLF-Bench) - A benchmark for evaluating learning agents based on just language feedback
- [Llm-Agent-Ask-For-Help](https://github.com/dillonmsandhu/llm-agent-ask-for-help) - Benchmark LLM Agents' abilities to quit sequential tasks as early as possible.
- [Llm-Agent-Benchmark-List](https://github.com/zhangxjohn/LLM-Agent-Benchmark-List) - A banchmark list for evaluation of large language models.
- [Llm_Scavengerhunt](https://github.com/Kyunnilee/llm_scavengerhunt) - A New Benchmark made for tasks for Large Language Model Agents - UC Berkeley Scavenger Hunt
- [Llmagentoodgym](https://github.com/rowingchenn/LLMAgentOODGym) - OOD benchmark study for LLM agents based on BrowserGym and AgentLab from ServiceNow.
- [Llmtaskplanning](https://github.com/lbaa2022/LLMTaskPlanning) - LoTa-Bench - Benchmarking Language-oriented Task Planners for Embodied Agents (ICLR 2024)
- [Ml-Research-Agent-Public](https://github.com/AlgorithmicResearchGroup/ML-Research-Agent-Public) - Public, general purpose agent for ML Research Benchmark. This agent provides a foundation for comparing and evaluating machine learning r…
- [Ml-Research-Agent-Tasks](https://github.com/AlgorithmicResearchGroup/ML-Research-Agent-Tasks) - Tasks for ML Research Benchmark, a benchmark designed to evaluate the capabilities of AI agents in accelerating AI research and development.
- [Mobilebench](https://github.com/XiaoMi/MobileBench) - Mobile-Bench - An Evaluation Benchmark for LLM-based Mobile Agents
- [Multiagent-Collab-Scenario-Benchmark](https://github.com/aws-samples/multiagent-collab-scenario-benchmark) - Benchmarking data and script used for LLM multi-agent collaboration systems from AWS Bedrock Agents Science team.
- [Nemotron-O1-Llm-Agent-Dataflow-Analysis](https://github.com/yuvrajpant56/Nemotron-o1-LLM-Agent-Dataflow-Analysis) - "Code and resources for Nemotron-o1, an LLM-based agentic framework for automated data flow analysis. Features source/sink extraction, da…
- [Osworld](https://github.com/xlang-ai/OSWorld) - [NeurIPS 2024] OSWorld - Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
- [Overcooked_Ai_Llm](https://github.com/bzeng2188/overcooked_ai_llm) - Research with LLM multi agent planning on OvercookedAI benchmark.
- [Pharmasimtext-Os-Llms](https://github.com/epfl-ml4ed/PharmaSimText-OS-LLMs) - This is a repository including the benchmark and agents included in an under review submission to JEDM 2025.
- [R-Judge](https://github.com/Lordog/R-Judge) - R-Judge - Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)
- [Safeagentbench](https://github.com/shengyin1224/SafeAgentBench) - Codes for paper "SafeAgentBench - A Benchmark for Safe Task Planning of \\ Embodied LLM Agents"
- [Shampoosalesagent](https://github.com/jackfsuia/ShampooSalesAgent) - A minimal LLM sales agent framework for sales agent fast deployment and benchmark. Support OpenAI models, Claude, HuggingFace models, Gem…
- [Shortcutsbench](https://github.com/EachSheep/ShortcutsBench) - ShortcutsBench - A Large-Scale Real-World Benchmark for API-Based Agents
- [Sim-Court](https://github.com/Miracle-2001/Sim-Court) - BenCourt - A Benchmark and Framework for Court Simulation using LLM-based Agents
- [Smartplay](https://github.com/microsoft/SmartPlay) - SmartPlay is a benchmark for Large Language Models (LLMs). Uses a variety of games to test various important LLM capabilities as agents. …
- [Sop-Bench](https://github.com/Norditech-AB/SOP-bench) - Benchmark for evaluating llm agents to solve real-world standard operating procedures
- [Sphnx](https://github.com/haailabs/SPHNX) - SPHNX is a modular benchmark suite designed to evaluate and enhance the privacy management capabilities of Large Language Models (LLM)-ba…
- [Stream-Bench](https://github.com/stream-bench/stream-bench) - We propose a pioneering benchmark to evaluate LLM agents' ability to improve over time in streaming scenarios
- [Theagentcompany](https://github.com/TheAgentCompany/TheAgentCompany) - An agent benchmark with tasks in a simulated software company.
- [Tiny-Llm-Benchmark](https://github.com/Zahidul-Islam/tiny-llm-benchmark) - A cost-effective LLM prompt benchmarking tool that helps AI agent builders choose the best model for optimal cost, performance and accuracy.
- [Unixagentbench](https://github.com/kmrasmussen/unixagentbench) - benchmarking LLM-agents performing tasks on Unix
- [Usability-Benchmarking-Framework-Project](https://github.com/staro190/Usability-Benchmarking-Framework-Project) - Evaluation of Software Manuals Using LLM-Powered GUI Agents - A Usability Benchmarking Framework
- [Visualwebarena](https://github.com/web-arena-x/visualwebarena) - VisualWebArena is a benchmark for multimodal agents.
- [Weblinx](https://github.com/McGill-NLP/weblinx) - WebLINX is a benchmark for building web navigation agents with conversational capabilities

### Datasets 
- [Aart-Ai-Safety-Dataset](https://github.com/xxxx-dddd/aart-ai-safety-dataset) - AART - AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications
- [Abstractive-Summarizer-On-Cnn_Dailymail-Dataset.](https://github.com/pkounoudis/Abstractive-Summarizer-on-cnn_dailymail-dataset.) - A small T5 LLM finetuned for text summarization.
- [Airline-Review-Llm-Chatbot](https://github.com/rohan-deswal/airline-review-llm-chatbot) - Using a Large Language Model (LLM) to develop a chatbot that gives insights about this dataset - https://www.kaggle.com/datasets/juhibhoja…
- [Alpaca-Chinese-Dataset](https://github.com/carbonz0/alpaca-chinese-dataset) - alpaca中文指令微调数据集
- [Arize AX](https://arize.com/generative-ai) - Arize AX is a tool that helps you use datasets to run experiments, with several example notebooks to get started. | [website](https://arize.com) [docs](https://arize.com/docs/ax) | [github](https://github.com/Arize-ai) | [Slack](https://join.slack.com/t/arize-ai/shared_invite/zt-3iu5bvnzr-2e~VFHw2Et4MM5rMsK599g)
- [Awesome-Chatgpt-Dataset](https://github.com/voidful/awesome-chatgpt-dataset) - Unlock the Power of LLM - Explore These Datasets to Train Your Own ChatGPT!
- [Awesome-Datasets-For-Llms](https://github.com/upbit/awesome-datasets-for-LLMs) - Awesome training/finetuning datasets for LLMs
- [Awesome-Finllms](https://github.com/IDEA-FinAI/Awesome-FinLLMs) - 🥇 A curated list of awesome large language models in finance(FinLLMs), including papers,models,datasets and codebases. 金融大模型列表，特别是中英双语大模型。
- [Awesome-Instruction-Selector](https://github.com/Bolin97/awesome-instruction-selector) - Paper list and datasets for the paper - A Survey on Data Selection for LLM Instruction Tuning
- [Awesome-Llm-Human-Preference-Datasets](https://github.com/glgh/awesome-llm-human-preference-datasets) - A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
- [Awesome-Medical-Healthcare-Dataset-For-Llm](https://github.com/onejune2018/Awesome-Medical-Healthcare-Dataset-For-LLM) - A curated list of popular Datasets, Models and Papers for LLMs in Medical/Healthcare
- [Book-Dataset](https://github.com/mahiatlinux/Book-Dataset) - A simple dataset for pre-training little LLMs.
- [Codegebragpt](https://github.com/sr5434/CodegebraGPT) - Finetuning multimodal LLMs on STEM datasets
- [Conversation-Data](https://github.com/stellar-sam/conversation-data) - Dataset for training LLM.
- [Data_Fine_Tune](https://github.com/bhc91/data_fine_tune) - Python files to prepare datasets for finetuning LLMs
- [Dataconvoai](https://github.com/jainut20/DataConvoAI) - LLM Based Chatbot to interact with custom dataset
- [Datacooker](https://github.com/WashimNeupane/datacooker) - Curates a mix of datasets for llm training.
- [Dataset-Creator-Server](https://github.com/michaelcalvinwood/dataset-creator-server) - Nodejs Express Server for Expedited Dataset Creation for Fine Tuning LLMs
- [Dataset-Error-Reduction](https://github.com/jayantaadhikary/dataset-error-reduction) - Reducing Error in NLP Datasets using LLMs
- [Dataset-Generator-For-Llm-Finetuning](https://github.com/AsadNizami/Dataset-generator-for-LLM-finetuning) - A web application that generates high-quality question-answer pairs from text documents for LLM finetuning
- [Dataset-Translator](https://github.com/eususu/dataset-translator) - translate huggingface dataset with translate api or llm
- [Dataset_For_Llm](https://github.com/Dragon-hxl/dataset_for_llm) - backup for some data set to test llm models
- [Datasetgpt](https://github.com/radi-cho/datasetGPT) - A command-line interface to generate textual and conversational datasets with LLMs.
- [Datasette-Enrichments-Llm](https://github.com/datasette/datasette-enrichments-llm) - Enrich data by prompting LLMs
- [Dolly-Instruction-Tuning](https://github.com/PavanKumar-Aravapalli/Dolly-Instruction-Tuning) - Experimentation on fine tuning LLM to instruction datasets.
- [Eduscribe-Llm-Backend](https://github.com/TanGentleman/EduScribe-LLM-Backend) - Pythonic dataset processing for fine-tuning LLMs. Used for a CalHacks 2023 award winning project.
- [Evaluating-Xai-Llms-In-A-Clinical-Context_Csc413-Project](https://github.com/hk21702/Evaluating-XAI-LLMs-in-a-Clinical-Context_CSC413-Project) - A UofT CSC413 Final Project - Evaluating interpretable large language models in a clinical context using the MIMIC-IV dataset.
- [Finetuned-Qlora-Llama7B-Mental-Health](https://github.com/caffeinatedwoof/finetuned-qlora-llama7b-mental-health) - Finetuning of Llama-7B LLM using QLoRA on Mental Health Conversational Dataset
- [Finetuning_Llm](https://github.com/olumyk/finetuning_llm) - Fine-tuning Meta Llama 2 7B Model on Healthcare Dataset using SageMaker
- [Finetuning_Llms](https://github.com/Pratik-Behera/finetuning_llms) - Finetuning Falcon7b/Falcon7b-Instruct on a test dataset using QLora
- [Fl_Llm_Benchmark_Dataset](https://github.com/hazylavender/fl_llm_benchmark_dataset) - This code collects congressional/parliamentary dataset across US, UK and Canada
- [Ftdatagen](https://github.com/SpingenceAI/FTDataGen) - Generate LLM finetune dataset
- [Get-Random-Wikipedia-Content](https://github.com/theripnono/get-random-wikipedia-content) - Donwload ramdom wikipedia content to create LLM datasets
- [Gpt_Annotate](https://github.com/npangakis/gpt_annotate) - Introducing gpt_annotate - an easy-to-use python package designed to streamline automated text annotation using LLMs for different tasks and
- [Graph-Instruction-Tuning](https://github.com/dgjun32/Graph-Instruction-Tuning) - Instruction tuning LLM with molecular graph instruction dataset.
- [Hugging Face Datasets](https://huggingface.co/datasets) - Thousands of datasets for machine learning tasks.
- [Imputer](https://github.com/shaunporwal/imputer) - Using LLMs to impute values in a dataset
- [Instruct-Qna-Fine-Tuning-Google-Flan-T5-Large-Llm-Qlora-Peft-Open-Orca-Dataset](https://github.com/shirsh10mall/Instruct-QnA-Fine-Tuning-Google-Flan-T5-Large-LLM-QLoRA-PEFT-Open-Orca-Dataset) - The Open Orca dataset serves as the foundation for this project. It provides a wide array of question types, including multiple-choice, reasoning, question-and-answer, one-word answers, translation, grammar correction, and math word problems
- [Instructions-Tuning-Across-Various-Llms-With-Alpaca-Dataset](https://github.com/fatemafaria142/Instructions-Tuning-Across-Various-LLMs-with-Alpaca-Dataset) - I utilized the "Alpaca" dataset, which comprises 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003 engine
- [Kaggle-Llm-Detect_Ai_Generated_Text](https://github.com/Lizhecheng02/Kaggle-LLM-Detect_AI_Generated_Text) - Detect whether the text is AI-generated by training a new tokenizer and combining it with tree classification models or by training langu…
- [Kg-Llm-Prompting](https://github.com/SandroGT/KG-LLM-Prompting) - Codebase and dataset repository for the paper "Knowledge Graph Engineering through Iterative Zero-shot LLM Prompting"
- [Langchaindatasetforge](https://github.com/asokraju/LangChainDatasetForge) - Generating artificial datasets using langchain and finetuning the LLMs on these datasets.
- [Langfuse](https://github.com/langfuse/langfuse) - 🪢 Open source LLM engineering platform - LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with Llama…
- [Lex-Fridman-Dataset-Llm](https://github.com/JasonFengGit/Lex-Fridman-Dataset-LLM) - Lex Fridman Podcast transcripts for LLM training
- [Llm---Detect-Ai-Generated-Text](https://github.com/pinskyrobin/LLM---Detect-AI-Generated-Text) - Demo code and dataset for offline debugging
- [Llm-App](https://github.com/skanduru/llm-app) - An AI-powered movielens dataset based recommendation system
- [Llm-Audio-Dataset-Process](https://github.com/zhihengAI/LLM-Audio-dataset-process) - many scripts for audio dataset processing
- [Llm-Benchmarks](https://github.com/jimbobbennett/llm-benchmarks) - A sample Python app for investigating the LLM benchmarks dataset from Kaggle
- [Llm-Chatbot](https://github.com/Amir-Shokrzadeh/LLM-Chatbot) - A mini project for using an existing Dataset to create a chatbot
- [Llm-Content-Mod](https://github.com/kumarde/llm-content-mod) - Datasets and code for studying LLMs and Content Moderation
- [Llm-Dataset-Converter-Examples](https://github.com/waikato-llm/llm-dataset-converter-examples) - Repository with examples for the llm-dataset-converter libraries.
- [Llm-Dataset-Gen](https://github.com/Brandon82/llm-dataset-gen) - Using LLMs (OpenAI API) to generate and add data to datasets
- [Llm-Derived-Tvshowguess-Dataset](https://github.com/Oaklight/LLM-derived-TVShowGuess-Dataset) - TVShowGuess was proposed in benchmarking language models' skill of understanding fictional characters in narrative stories.
- [Llm-Finetuning](https://github.com/tejaswargudla/LLM-finetuning) - Finetuning the LLM model for NLP tasks and cybersec based instruction datasets
- [Llm-Finetuning-Template](https://github.com/AusafMo/LLM-Finetuning-Template) - Template Code for working and finetuning a LLM for custom dataset, here a artificially generated dataset ( couldn't find a real one).
- [Llm-Imdb](https://github.com/ibiscp/LLM-IMDB) - Proof of concept app using LangChain and LLMs to retrieve information from graphs, built with the IMDB dataset
- [Llm-Predictor](https://github.com/dhw059/LLM-predictor) - The strategy of material dataset based on Tokens, utilizing LLM to achieve material prediction, discovery, and design.
- [Llm-Semantic-Duplicates](https://github.com/happyduck-313/llm-Semantic-duplicates) - about Semantic duplicates in datasets of llm
- [Llm-Theory-Of-Mind](https://github.com/sileod/llm-theory-of-mind) - Testing Theory of Mind (ToM) in language models with epistemic logic
- [Llm4Vv](https://github.com/Xachaeus/LLM4vv) - Dataset for training LLMs on OpenACC and OpenMP
- [Llm_Benchmarks](https://github.com/leobeeson/llm_benchmarks) - A collection of benchmarks and datasets for evaluating LLM.
- [Llm_Bxn_Dataset](https://github.com/Davickyz/llm_bxn_dataset) - A simple dataset
- [Llm_Cybersecurity_Datasets_Uss_2025](https://github.com/Roohanak/LLM_Cybersecurity_datasets_USS_2025) - SoK - Systematic Analysis of Cybersecurity Datasets using Large Language Models
- [Llm_Datasets_Generators](https://github.com/mpasko/llm_datasets_generators) - Simple util for automatically generating synthetic datasets for training or finetuning LLMs
- [Llm_Fine_Tuning](https://github.com/khaouitiabdelhakim/llm_fine_tuning) - Fine-tuning essentially involves taking a pre-trained LLM, already equipped with a vast understanding of language, and further training i…
- [Llm_Finetune](https://github.com/YABER1965/LLM_finetune) - Fine-tune LLM using special dataset
- [Llm_Finetune](https://github.com/TalhaUsuf/LLM_finetune) - synthetic dataset gneration and fine tune
- [Llm_Model_Evaluation](https://github.com/LiuYuWei/llm_model_evaluation) - LLM Model Evaluation for tmmluplus datasets
- [Llm_Rag](https://github.com/dongdongunique/LLM_RAG) - This repository implements a Retrieval-Augmented Generation (RAG) system using FAISS for vector-based retrieval and GPT for generative re…
- [Llmdataforge](https://github.com/saucam/llmdataforge) - A framework for generating synthetic datasets tailored for large language models (LLMs)
- [Llmdataparser](https://github.com/jeff52415/LLMDataParser) - LLMDataParser is a Python library that provides a collection of parsers for various benchmark datasets used in the evaluation of Large La…
- [Llmeval](https://github.com/cdolea331/LLMEval) - Simple script to evaluate GPT 3.5 turbo on hugging face commonsense_qa dataset
- [Llmscenarioeval](https://github.com/Turing-Project/LLMScenarioEval) - Scenario-based Evaluation dataset for LLM (beta)
- [Lm-Expansions](https://github.com/orionw/LM-expansions) - When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
- [Medisoap](https://github.com/aman-17/MediSOAP) - FineTuning LLMs on conversational medical dataset.
- [Multimodal-Llm](https://github.com/TheSciPro/Multimodal-LLM) - image processing for unstructured datasets using multimodal model LLM fuyu-8b
- [Nomiracl](https://github.com/project-miracl/nomiracl) - NoMIRACL - A multilingual hallucination evaluation dataset to evaluate LLM robustness in RAG against first-stage retrieval errors on 18 la…
- [Nsfw-Finetuned-On-Llm](https://github.com/sebinsaji007/NSFW-finetuned-on-llm) - Here we have taken falcon 7B as the LLM and finetuned NSFW dataset with it
- [OpenAI Dataset Library](https://openai.com/) - A comprehensive collection of datasets used for training AI models.
- [Parsee-Datasets](https://github.com/parsee-ai/parsee-datasets) - Datasets, case studies and benchmarks for extracting structured information from PDFs, HTML files or images, created by the Parsee.ai team.
- [Pdf_To_Llm_Dataset.Py](https://github.com/kkkarmo/pdf_to_llm_dataset.py) - This project provides a Python script that converts a PDF book into a training dataset suitable for large language models (LLMs).
- [Pixel-Agi](https://github.com/oliveirabruno01/pixel-agi) - A gradio app to talk with LLMs and make them interact with pixel-art/images + micro dataset. Focus = data.
- [Promptedgraphs](https://github.com/closedloop-technologies/PromptedGraphs) - From Dataset Labeling, Entity Extraction to production Knowledge Graph Deployment - The Power of NLP and LLMs Combined.
- [Querying-Csvs-And-Plot-Graphs-With-Llms](https://github.com/SomyanshAvasthi/Querying-CSVs-and-Plot-Graphs-with-LLMs) - Leveraging Large Language Models (LLMs) to query CSV files and plot graphs transforms data analysis. This allows to interact with datasets …
- [Rag_Llm-On-Customdataset](https://github.com/vinu0404/RAG_LLM-on-CustomDataset) - The ConvoSummarizer is a Retrieval-Augmented Generation (RAG) application that uses the Hugging Face Transformers library with the google…
- [Reap-Llm-Problem-Solving](https://github.com/ryanlingo/REAP-LLM-Problem-Solving) - Enhance LLM problem-solving with REAP - Reflection, Explicit Problem Deconstruction, and Advanced Prompting. This repo includes the REAP p…
- [Refuel-Sdk](https://github.com/refuel-ai/refuel-sdk) - Label, clean and enrich text datasets with LLMs
- [Sdp-Llm-Dataset](https://github.com/yilmazzey/sdp-llm-dataset) - Paper scraping from acl anthology with selenium
- [Seqtoseq-Dataset-Creator](https://github.com/michaelcalvinwood/seqtoseq-dataset-creator) - React app to create datasets for seq to seq LLM training
- [Sg-Data-Analyst](https://github.com/ivankqw/sg-data-analyst) - LLMs as Data Analysts over Singapore Datasets 🤖
- [Simpsons_Llm_Xpu](https://github.com/rahulunair/simpsons_llm_xpu) - Finetune an LLM on intel discrete GPUs to generate dialogues based on the simpsons dataset
- [Skin-Cancer-Specialist-Llm](https://github.com/sobhonium/Skin-Cancer-Specialist-LLM) - Fine tuning an LLM by the given dataset. The dataset represents the domain knowledge that the LLM should be an expert for.
- [Smart-Contracts-Dataset-Generation](https://github.com/matteo-rizzo/smart-contracts-dataset-generation) - Generating a dataset of smart contracts affected by reentrancy using LLMs
- [Starjob](https://github.com/starjob42/Starjob) - JSSP dataset for LLMs
- [Syntune](https://github.com/RuairiSpain/SynTune) - Building LLM finetuning datasets
- [Talk_To_Your_Data](https://github.com/mktaop/talk_to_your_data) - Get insights from your dataset, small or large. Using PandasAI and a LLM.
- [Textbook_Quality](https://github.com/VikParuchuri/textbook_quality) - Generate textbook-quality synthetic LLM pretraining data
- [Tinyllm](https://github.com/meet-minimalist/TinyLLM) - LLM implementations on small scale dataset
- [Universal-Dataset-Chatbot-With-Llm](https://github.com/AdritPal08/Universal-Dataset-Chatbot-with-LLM) - Universal Dataset Chatbot with LLM
- [Upar5Iv](https://github.com/veya2ztn/upar5iv) - Convert ar5iv html dataset into LLM friendly format such .md and .json
- [Vlm_Databuilder](https://github.com/tensorsense/vlm_databuilder) - This SDK generates datasets for training Video LLMs from youtube videos.
- [Voice datasets](https://github.com/jim-schwoebel/voice_datasets) - A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
- [Zero-Shot-Automatic-Annotation-Using-Llm-Generated-Datasets](https://github.com/ranzosap/Zero-Shot-Automatic-Annotation-using-LLM-Generated-Datasets) - Best.pt is the YOLO11n-seg model trained on LLM generated Images where we automatically labelled the apple masks using YOLO11-SAMv2 fusion approach on zero shot.

### Deployment
- [Accident-Simulation](https://github.com/chuajiesheng/accident-simulation) - Allocating resources to a accident scenario in real-time is a difficult challenge. This project aims to create a simulation playground wh…
- [Advanced-Logic-Reason-Idea-And-Learning-Algorithms](https://github.com/Brionengine/Advanced-logic-reason-idea-and-learning-algorithms) - InfiniteMind is an open-source AI project designed to create an intelligent agent capable of learning from experiences, building a compre…
- [Agent-](https://github.com/drraghavendra/Agent-) - Create, deploy, and manage AI agents on Solana using our decentralized platform. Powered by Rig, Rust, and ARC tokens.
- [Agent-Accelerator](https://github.com/j3bruins/agent-accelerator) - Create, deploy, and manage AI agents on Solana using our decentralized platform. Powered by Rig, Rust, and ARC tokens.
- [Agent-Ops](https://github.com/rbisoi/agent-ops) - Developing an ai framework to deploy agents in production
- [Agentgpt](https://github.com/reworkd/AgentGPT) - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
- [Agentgpt](https://github.com/alicayan008/AgentGPT) - Assemble, configure, and deploy autonomous AI Agents in your browser.
- [Agentic-Ai](https://github.com/EnggTalha/Agentic-AI) - A framework for developing and deploying specialized AI agents, including Web Search and Finance AI Agents, powered by advanced models an…
- [Agentic-Ai-](https://github.com/JogendraSingh1879/Agentic-AI-) - Building and Deploying a Free Pizza Ordering System with FastAPI and Multi-Agent Architecture
- [Agentic-Platform](https://github.com/bonk1t/agentic-platform) - AI Agent Automation Platform - Rapidly prototype, test, and deploy Multi-Agent Systems from your browser.
- [Agentic.Md](https://github.com/ai-primitives/agentic.md) - Build, Test, Deploy, & Iterate on AI Agents using Markdown & MDX
- [Agenticai](https://github.com/YasinOnline/AgenticAI) - AgenticAI - A framework for building autonomous decision-making agents. It integrates reinforcement learning, NLP, and multi-agent systems…
- [Agentkit-Sdk](https://github.com/simonweniger/agentkit-sdk) - Build, deploy, and manage LLM-powered agents on  platforms.
- [Agentprocessingunit](https://github.com/faddy19/AgentProcessingUnit) - The Agent Processing Unit (APU) is an open source hardware project to build a high-performance chip architecture optimized for AI agent w…
- [Agentserve](https://github.com/PropsAI/agentserve) - A framework for hosting and scaling AI agents.
- [Agentverse](https://github.com/OpenBMB/AgentVerse) - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides tw…
- [Agentx](https://github.com/sattyamjjain/AgentX) - AgentX is a powerful AI-driven framework for building smart, context-aware assistants and automating workflows. With modular design, seam…
- [Agileagents](https://github.com/ruvnet/agileagents) - Agile Agents (A2) is an open-source framework for the creation and deployment of serverless intelligent agents using public and private c…
- [Ai-Agent](https://github.com/kasragordini/AI-Agent) - Designed and deployed a high-performance chatbot leveraging LangChain, Qdrant, LLM, and RAG to enhance data retrieval, AI knowledge base,…
- [Ai-Agent-Ecosystem](https://github.com/ai-in-pm/AI-Agent-Ecosystem) - A powerful, scalable ecosystem for managing and monitoring AI agents. This system provides a framework for deploying, managing, and monit…
- [Ai-Agent-For-Deployment](https://github.com/yunwei37/AI-agent-for-deployment) - No description available
- [Ai-Agent-Lab](https://github.com/Zeeshan138063/ai-agent-lab) - AI Agent Lab - An open-source repository to build, test, and deploy AI agents using Python, with examples and modular design.
- [Ai-Agent-Report-Maker-Deploy](https://github.com/ezemriv/AI-Agent-Report-Maker-Deploy) - A streamlined version of the AI-Agent-Report-Maker, focusing exclusively on the agent functionality for deployment with Gradio.
- [Ai-Agent-Ui](https://github.com/Linzo99/ai-agent-ui) - UI Template for a chatbot agent created Llama Deploy (LlamaIndex Workflow)
- [Ai-Agents](https://github.com/Bilalkhan4086/ai-agents) - This repo is for learning how to deploy ai agent with langgraph on langgraph cloud.
- [Ai-Agents-For-Networking](https://github.com/mkular/AI-Agents-For-Networking) - AI agents for network deployment, configuration and monitoring
- [Ai-Onchain-Agent](https://github.com/Patrick-Ehimen/AI-OnChain-Agent) - A powerful tool designed to interact with blockchain networks, specifically tailored for EVM chains. It leverages OpenAI's GPT-4o-mini mo…
- [Ai-Powered-Chatbot-Generator](https://github.com/Rushi-code1/AI-Powered-Chatbot-Generator) - "Developed an AI-powered chatbot generator designed to create custom, conversational agents tailored for diverse industries. Utilized nat…
- [Ai-Toolbox](https://github.com/eranco74/AI-Toolbox) - A set of AI-driven tools designed to assist in creating, training, and deploying AI agents across different workflows.
- [Airline-Api](https://github.com/nickb4924/Airline-API) - BookingXML is a leading Airline API provider that offers the best Airline API Integration Solution for Travel Agents, and Travel Companie…
- [Anthropic-Agent-In-Docker](https://github.com/LiteObject/anthropic-agent-in-docker) - This repository offers a Dockerized implementation of the Anthropic Agent for streamlined deployment and scalability. It ensures consiste…
- [Apemind-Framework](https://github.com/apeoutmeme/ApeMind-Framework) - Next-generation infrastructure for deploying AI agents on Solana
- [Atat](https://github.com/semanticsean/ATAT) - ATAT is an email client for AI Agents. Deploy dozens of AI agents through a single email address (IMAP/SMTP) using the OpenAI API. Just a…
- [Attck-Pe](https://github.com/cmndcntrlcyber/attck-pe) - Levaraging the power of the ATT&CK Database to enrich an AI agent to deployed as a browser thread for Adversary Emulation from a container
- [Auto_Web-Gpt](https://github.com/Superstar721/Auto_web-GPT) - Assemble, configure, and deploy autonomous AI Agents in your browser.
- [Autogpt-Next-Web](https://github.com/ElricLiu/AutoGPT-Next-Web) - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.一键免费部署你的私人AutoGPT 网页应用
- [Autonomous-Ai-Team](https://github.com/mikirinkode/autonomous-ai-team) - A project that aims to develop and deploy autonomous AI agents that can collaborate and communicate with each other and humans.
- [Autonomousai](https://github.com/RithikaGupta/autonomousAI) - About Multi Agent System Installation Build Deployment - for autonomous testing
- [Awesome-Ai-Sdks](https://github.com/e2b-dev/awesome-ai-sdks) - A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents
- [Awesome-Solana-Ai-Hackathon](https://github.com/tkorkmazeth/awesome-solana-ai-hackathon) - Welcome to the Solana AI Agent Hackathon repository! This resource is your ultimate guide to creating, deploying, and managing autonomous AI
- [Aws-Ai-Templates](https://github.com/jacobweiss2305/aws-ai-templates) - A collection of AWS Templates for deploying Agentic Software
- [Aws-Templates](https://github.com/phidatahq/aws-templates) - A collection of AWS templates for deploying AI Agents
- [Axocore](https://github.com/Axolotl-Labs/Axocore) - Axocore is an open-source AI agent infrastructure designed to make building intelligent systems effortless. With a modular plugin system,…
- [Baba-Bot](https://github.com/Abdulrahmanrihan/Baba-bot) - Baba bot is an AI agent created using Mistral V2, and Mistral's agent creating user interface, deployed on a Gradio website.
- [Back4App-Ai-Agent](https://github.com/duplxey/back4app-ai-agent) - Learn how to use Back4app Agent to build and deploy full-stack web applications.
- [Baseai](https://github.com/LangbaseInc/BaseAI) - BaseAI — The Web AI Framework. The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic …
- [Basilisktoken](https://github.com/elder-plinius/BasiliskToken) - BASI is the first-ever smart contract created by autonomous AI agents. The token was deployed to ETH mainnet on 6/6/23.
- [Bespoke_Automata](https://github.com/C0deMunk33/bespoke_automata) - Bespoke Automata is a GUI and deployment pipline for making complex AI agents locally and offline
- [Bluemarz](https://github.com/StartADAM/bluemarz) - Bluemarz is an open-source management layer for AI agents, offering a flexible, scalable, and stateless architecture for deploying and or…
- [Botpress](https://github.com/botpress/botpress) - The open-source hub to build & deploy GPT/LLM Agents ⚡️
- [Business-Blog-Generator](https://github.com/MuhammadSalmanAhmad/business-blog-generator) - Developed a simple web app that helps you write business articles on your topic of interest where I deployed a AI agent using crewAI that…
- [Canary](https://github.com/wack/canary) - MultiTool Canary is your AI-powered, agentic deployment solution for seamless, risk-managed rollouts
- [Chamberlain_Multimodal_Multiagent_Chatbot](https://github.com/nickShengY/chamberlain_multimodal_multiagent_chatbot) - An AI-driven Multimodal multi-agent chatbot for home deployment to manage the user's daily chores and tasks. Used OpenAI and Langchain an…
- [Chatbot](https://github.com/pavankola84/ChatBot) - AI Chatbot Widget is an intuitive and versatile conversational agent designed to enhance user interaction and support across various webs…
- [Chatbot-](https://github.com/anshikabanerjee/Chatbot-) - This paper will detail the need for conversational AI agents, such as chatbots in the search and discovery domain. The efficiency of the …
- [Chatgpt.Clone](https://github.com/vivekkkkkkk/chatgpt.clone) - AI-powered conversational agent based on GPT-3.5. Trained on diverse text data, it generates human-like responses. Use it to build chatb…
- [Cheap_Ai](https://github.com/Cheapaifun/Cheap_ai) - Zero fees on deployment, Create AI agents with automation using LiamaX—next-gen intelligence made simple!
- [Chess-Agent](https://github.com/gabrielzencha/Chess-Agent) - An AI chess agent capable of teaching others and also deployed on a robot in real life
- [Collective](https://github.com/zoharbabin/collective) - An experimental AI project that harnesses specialized agents for end-to-end software development. Each role-based AI collaborator orchest…
- [Contact-Center-Genai-Agent](https://github.com/aws-samples/contact-center-genai-agent) - Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases
- [Corexai](https://github.com/CorexAI/CorexAI) - CorexAI is a cutting-edge, decentralized platform that enables seamless renting of GPUs and AI agents. By leveraging distributed GPU reso…
- [Council](https://github.com/chain-ml/council) - Council is an open-source platform for the rapid development and robust deployment of customized generative AI applications
- [Crewai](https://github.com/ahtealeb/crewai) - Crew.ai The Leading Multi-Agent Platform Streamline workflows across industries with powerful AI agents. Build and deploy automated workf…
- [Crewai-Web-Render](https://github.com/imnotdev25/crewai-web-render) - Build & deploy sites with crew ai agents
- [Dance-Ai-Research-Project](https://github.com/jzho987/dance-ai-research-project) - The main repository for managing the research towards developing and deploying an interactive dance AI agent to research ML techniques an…
- [Data_Analysis_With_Local_Llama](https://github.com/ErdenizUnvan/data_analysis_with_local_llama) - Deploy an AI agent with via autogen and llama_index for making data analysis with your files
- [David](https://github.com/Unka-Malloc/DAVID) - Management System for AI Agents - Development, Authentication, Validation, Integration, and Deployment
- [Devstream](https://github.com/RaheesAhmed/devstream) - DevStream is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from y…
- [Eidolon](https://github.com/eidolon-ai/eidolon) - The first AI Agent Server, Eidolon is a pluggable Agent SDK and enterprise ready, deployment server for Agentic applications
- [Examples-Ai-Bedrock-Agent-National-Parks](https://github.com/cebert/examples-ai-bedrock-agent-national-parks) - This repository demonstrates how to build and deploy an AI agent using Amazon Bedrock and AWS Lambda, with infrastructure managed by AWS …
- [Experts](https://github.com/metaskills/experts) - Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent …
- [Fireai](https://github.com/anurag115/FireAI) - Deployment Stack of Azure, AWS and Google Cloud with this template creates a vm with a CloudLens agent that listens on a virtual interfac…
- [Framework](https://github.com/isalineai/framework) - Self-sustaining Python AI agent creating, deploying, and optimizing autonomous projects.
- [Friendship_Meter](https://github.com/almagashi/friendship_meter) - A fun project to measure the interactions between human and AI agent. Deployed on Vercel.
- [Fullstack-Nextjs-App-Generator](https://github.com/spark-engine-opensource-projects/fullstack-nextjs-app-generator) - Fullstack Next.js Application Builder that uses a Spark Engine AI multi-agent system project for generation, Supabase and Vercel for depl…
- [Gaia-Meme-Coin-Generator](https://github.com/harishkotra/gaia-meme-coin-generator) - Generate and deploy meme tokens automatically using Gaia's AI Agent for creative naming and tokenomics!
- [Gcp_Ai_Assistant](https://github.com/gabrielpreda/gcp_ai_assistant) - Conversational AI Agent using Gemini, with Streamlit UI and deployed on GCP Cloud Run
- [Generative-Ai-Toolkit](https://github.com/awslabs/generative-ai-toolkit) - The Generative AI Toolkit is a lightweight library that covers the life cycle of LLM-based applications, including agents. Its purpose is…
- [Ghost-Agent](https://github.com/qianyouliang/Ghost-Agent) - The objective of this project is to develop an AI ghost deployed on the web, powered by LangChain technology. The AI ghost will continuou…
- [Ginix-Fraud-Agents](https://github.com/ginix-co/ginix-fraud-agents) - Welcome to the giniX FraudAI-Agents community! This is a collaborative space where Fraud Analysts and developers work together to create,…
- [Go-Chain-Gang](https://github.com/kmesiab/go-chain-gang) - A pure Go LLM/AI "agent" orchestration library. Build, connect and deploy autonomous agents that collectively solve goals.
- [Iauto](https://github.com/shellc/iauto) - iauto is a low-code engine for building and deploying AI agents
- [Incredible.Dev](https://github.com/IncredibleDevHQ/Incredible.dev) - Incredible.dev is an AI Coding Co-worker which can code, fix, document, deploy, test your APIs. One agent to rule everything API.
- [Init-Eliza](https://github.com/W3bbieLabs/init-eliza) - A powerful CLI tool for building, managing, and deploying AI agents with multiple provider integrations.
- [Instantneo](https://github.com/dponcedeleonf/instantneo) - InstantNeo is a concise interface for developing AI agents with customized roles and skills using OpenAI's models. It streamlines the dep…
- [Instantrun](https://github.com/Talha-Ali-5365/InstantRun) - AI agent that can deploy any github repo autonomously
- [Jazzx](https://github.com/kunal-nitor/JazzX) - JazzX aims to create an enterprise GenAI-first platform to deploy and manage GenAI agents/apps. This enterprise cloud platform will use d…
- [Jonathan-Flightbase](https://github.com/AcrylAI/Jonathan-Flightbase) - Jonathan Flightbase is an MLOps/LLMOps platform designed for efficient AI development and operations. It streamlines resource management,…
- [Justben8](https://github.com/JustBen8/JustBen8) - At the path of learning AI, agentic building and deploying of agents and the technology used to build them.
- [K8S-Agent](https://github.com/ranching-farm/k8s-agent) - Kubernetes agent for deploying ranching.farm directly into your cluster. Connect your K8s deployment to our AI-powered management platfor…
- [Kagentic](https://github.com/aiadvocat/kagentic) - Flask-based agentic AI chat assistant using OpenAI's GPT-4. Supports tool registration and management for dynamic responses. Deployed on …
- [Kube-Gpt-Agent](https://github.com/srimoyee1212/Kube-GPT-Agent) - Use an AI agent to get information about your Kubernetes deployments!
- [Kubernetes-Agent](https://github.com/riyaadhbukhsh/kubernetes-agent) - An AI agent that masterfully answers questions about your deployed kubernetes cluster
- [Kubernetes-Query-Agent](https://github.com/parteeksingh24/kubernetes-query-agent) - A demonstration of an AI agent that answers simple queries about apps deployed on a Kubernetes cluster.
- [Kubernetesqueryagent](https://github.com/soni-ratnesh/KubernetesQueryAgent) - An AI agent that interacts with a Kubernetes cluster to answer queries about its deployed applications.
- [Letta-Deepseek](https://github.com/mahawi1992/letta-deepseek) - Advanced multi-agent system built with Letta AI and DeepSeek, featuring memory optimization and Lightning AI deployment.
- [Libertai-Agents](https://github.com/Libertai/libertai-agents) - Framework to create and deploy confidential & decentralized AI Agents.
- [Llama-Latte](https://github.com/im-anhat/llama-latte) - AI-powered coffee shop app built with React Native, featuring Llama 3 model integration, Retrieval-Augmented Generation (RAG) for persona…
- [Llm-Research-Backend-Django](https://github.com/muhammadnasif/llm-research-backend-django) - This is the django project for deploying the LLM Research of Conversational AI Agent for test purpose.
- [Lunaai](https://github.com/Eugeene1337/LunaAI) - Luna is a powerful multi-agent simulation framework designed to create, deploy, and manage autonomous AI agents. Built with TypeScript, i…
- [Mastra AI](https://github.com/mastra-ai/mastra) - Mastra is an all-in-one framework for building AI-powered applications and agents with Typescript.
- [Medreminder](https://github.com/abisong/MedReminder) - An AI agent web-based MedReminder app using HTML, CSS, and Vanilla JavaScript with local storage and Flask for deployment
- [Metamind](https://github.com/MetaMindFramework/MetaMind) - Empowering Your Applications with AI - MetaMind delivers a comprehensive framework for deploying intelligent agents, managing advanced wor…
- [Mixtral_8X7B_Agent](https://github.com/svngoku/Mixtral_8X7B_Agent) - Deploying an open source AI Agent with Mixtral 8X7B
- [Multi-Pdfs_Chatapp_Ai-Agent](https://github.com/GURPREETKAURJETHRA/Multi-PDFs_ChatApp_AI-Agent) - Meet MultiPDF 📚 Chat AI App! 🚀 Chat seamlessly with Multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB with Seamless Stre…
- [Multiagents-Infinite-Backroom](https://github.com/AGAMPANDEYY/MultiAgents-infinite-backroom) - Claude AI Multi agents having conversations without human intervention. Inspired from The Truth Terminal contains deployed Vercel app and…
- [Multimodal-Llm-Agent](https://github.com/HuHK-Private/multimodal-llm-agent) - Deploy Multimodal-LLM Agent to solve complicated AI tasks with language serving as a generic interface
- [Nerosdk](https://github.com/nerobossai/nerosdk) - sdk to build and deploy your own ai agent
- [Nest-Ai](https://github.com/thenest-hub/nest-ai) - A lightweight, open-source framework to deploy Agents. Part of a greater initiative to help AI Agent deployment.
- [Nl2Iac](https://github.com/ramonbgc/nl2iac) - AI agent for IaC deployments
- [Onchain-Ai-Starter](https://github.com/Not-Sarthak/onchain-ai-starter) - Build and deploy onchain AI agents with zero hassle
- [Openai-Assistants-Template](https://github.com/pranavgupta2603/OpenAI-Assistants-Template) - Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's A…
- [Petercat](https://github.com/petercat-ai/petercat) - A conversational Q&A agent configuration system, self-hosted deployment solutions, and a convenient all-in-one application SDK, allowing …
- [Phoneit](https://github.com/bhuvanmdev/PhoneIT) - An application that when deployed can establish a call service, where an AI agent can solve any query of the users using a established RA…
- [Plura](https://github.com/plura-ai/plura) - Plura is a powerful tool for creating, managing, and deploying AI agents. Built with TypeScript, it helps you develop intelligent agents …
- [Powerups.Ai](https://github.com/muzetv/powerups.ai) - Deploy AI Agent-Powered APIs in Minutes
- [Project-S.O.C.R.A.T.E.S.](https://github.com/Hams-Ollo/Project-S.O.C.R.A.T.E.S.) - 🤖 Advanced Multi-Agent AI Template - Production-ready system combining Groq's speed with LangChain's flexibility. Features RAG, document p…
- [Public-Agent-Framwork](https://github.com/aurasgit/public-agent-framwork) - AI agent that independently creates, deploys, and optimizes autonomous projects.
- [Purpaas-Llm](https://github.com/dwain-barnes/PurPaaS-LLM) - PurPaaS is an innovative open-source security testing platform that implements purple teaming (combined red and blue team approaches) to …
- [Python-Agents](https://github.com/clarisseIO/python-agents) - AI agent that independently creates, deploys, and optimizes autonomous projects.
- [Python-Aiagent](https://github.com/osvaldokalvaitir/python-aiagent) - 📈 Python AIAgent application development, integration with OpenAI's GPT model, use of the CrewAI framework, creation of an agent for cons…
- [Rag_Sap_Agent](https://github.com/agbackhoff/RAG_SAP_AGENT) - SAP Table Structure Analyzer - AI-powered tool using Google's Gemini 1.5 Pro to extract and analyze SAP HANA S/4 table structures. Feature…
- [Redbaez-Agent-Builder-Complete](https://github.com/tom2tomtomtom/redbaez-agent-builder-complete) - Full-stack AI agent builder with model integration, deployment, and monitoring capabilities
- [Sc-Helm-App](https://github.com/amsilf/sc-helm-app) - This repository contains a simple Helm chart for deploying a "Hello World" Nginx application, along with Open Policy Agent (OPA) rules fo…
- [Scalable-Ai--Autonomous-Agent](https://github.com/Prasannaverse13/Scalable-AI--autonomous-Agent) - The Scalable AI Platform is a cutting-edge solution designed for creating, deploying, and managing autonomous and semi-autonomous AI agents…
- [Setup-Amazon-Bedrock-Agent-For-Text2Sql-Using-Amazon-Redshift-Serverless-With-Streamlit](https://github.com/aws-samples/Setup-Amazon-Bedrock-Agent-for-Text2SQL-Using-Amazon-Redshift-Serverless-with-Streamlit) - This project integrates AWS services to create a natural language interface for querying Amazon Redshift Serverless databases. It utilize…
- [Shampoosalesagent](https://github.com/jackfsuia/ShampooSalesAgent) - A minimal LLM sales agent framework for sales agent fast deployment and benchmark. Support OpenAI models, Claude, HuggingFace models, Gem…
- [Simple_Ai_Agent](https://github.com/jeya2050/simple_AI_agent) - This AI agent represents a significant advancement in automated web content analysis, offering organizations the ability to efficiently p…
- [Slack-Ai-Assistant-Vijay](https://github.com/vjvkrm/slack-ai-assistant-vijay) - The Most simple way to deploy AI agent-assitant slack app to your workspace
- [Smartcall-Ai](https://github.com/shwetd19/SmartCall-Ai) - Deploy AI voice agents for calls.
- [Smoothlingua](https://github.com/Dev-Art-Solutions/SmoothLingua) - SmoothLingua is an open-source conversational AI platform that empowers you to create and deploy intelligent conversational agents. It of…
- [Snakeai](https://github.com/leonardocunha2107/snakeAI) - Deploying snake agents near you
- [Spacecreateai](https://github.com/Harbars1234/SpaceCreateAI) - This repository contains the first Solana agent built with the SEND AI technology https://github.com/sendaifun/solana-agent-kit that auto…
- [Stocks-Ai-Agent](https://github.com/muriloguerreiro/stocks-ai-agent) - Deploy
- [Superagent-Swift-Legacy](https://github.com/simonweniger/superagent-swift-legacy) - Build, deploy, and manage LLM-powered agents on  platforms.
- [Swarmnode-Cpp](https://github.com/alexcsh0/swarmnode-cpp) - Deploy and orchestrate serverless AI agents in the cloud.
- [Swarmnode-Dotnet](https://github.com/swarmnode-ai/swarmnode-dotnet) - Deploy and orchestrate serverless AI agents in the cloud.
- [Swarmnode-Go](https://github.com/swarmnode-ai/swarmnode-go) - Deploy and orchestrate serverless AI agents in the cloud.
- [Swarmnode-Node](https://github.com/swarmnode-ai/swarmnode-node) - Deploy and orchestrate serverless AI agents in the cloud.
- [Swarmnode-Python](https://github.com/swarmnode-ai/swarmnode-python) - Deploy and orchestrate serverless AI agents in the cloud.
- [Swarmnode-Rust](https://github.com/swarmnode-ai/swarmnode-rust) - Deploy and orchestrate serverless AI agents in the cloud.
- [Swarmsxgcp](https://github.com/The-Swarm-Corporation/SwarmsXGCP) - Deploy your agents on Cloud Run!
- [Synnex_Symphony](https://github.com/Styro13/Synnex_Symphony) - Symphony is an AI-driven software development framework heavily influenced by GPT Pilot, and Microsoft's paper on 'AutoDev' that aims to …
- [Team-Ai](https://github.com/deployment-io/team-ai) - AI agent orchestration engine written in Go used internally at deployment.io
- [Testchatbot](https://github.com/samanway1996/testchatbot) - Database to be deployed for agent in api.ai
- [Tiny-Agent](https://github.com/bombap/tiny-agent) - Tiny-Agent is a lightweight yet extensible AI agent framework that simplifies the creation and deployment of intelligent agents.
- [Transform-Agents](https://github.com/transformsen/transform-agents) - Transform-Agents  - A UI for an AI systems - Build, simulate, run, and deploy your agentic AI system at scale.
- [Upstreet-Core](https://github.com/UpstreetAI/upstreet-core) - Build and deploy AI Agents, fast.
- [Vitalhome-Chat](https://github.com/vital-ai/vitalhome-chat) - Ontology for Chat Agents deployed on Chat.ai
- [Wolfpack](https://github.com/almogdepaz/wolfpack) - Mobile & desktop PWA command center for controlling AI coding agents (Claude, Codex, Gemini) via tmux sessions across multiple machines, secured by Tailscale. Includes a multi-terminal grid view, mobile touch UI, and Ralph — an autonomous task runner. [github](https://github.com/almogdepaz/wolfpack)
- [Woodwork-Engine](https://github.com/willwoodward/woodwork-engine) - An AI Agent IaC tool that aims to make developing and deploying AI Agents easier.
- [WritBase](https://github.com/Writbase/writbase) - MCP-native task management for AI agent fleets [github](https://github.com/Writbase/writbase)
- [Xpertagent](https://github.com/rookie-littleblack/XpertAgent) - XpertAgent is an open-source platform for building and deploying AI applications. It combines intelligent workflow orchestration, knowled…

### Ethics
- [A4-Artificial-Intelligence](https://github.com/AlivadTheImpala/A4-Artificial-Intelligence) - this is a repo regarding the ethics of AI.
- [Adfa2](https://github.com/djdprogramming/adfa2) - 16. Next-Generation Data Scientists, Hubris, and Ethics - 50 Essential Concepts]
- [Advancedaicoursework_2](https://github.com/AntoineSebert/AdvancedAICoursework_2) - Essay on Explainable AI and ethics - concerns &, perspectives
- [Ai-Ethics](https://github.com/PARC/ai-ethics) - AI Ethics Committee at PARC
- [Ai-Ethics](https://github.com/cbhanni/AI-Ethics) - Ethical Guidelines for Human-Advanced Intelligence Interaction
- [Ai-Ethics-Evaluation-Report-In-Healthcare](https://github.com/SelenaSongg/AI-Ethics-Evaluation-Report-in-HealthCare) - An evaluation report in healthcare
- [Ai-Ethics-Experiments](https://github.com/jtrugman/ai-ethics-experiments) - Analyzing AI's Responses To Ethical Dilemmas
- [Ai-Ethics-Fairness-And-Bias](https://github.com/jolares/ai-ethics-fairness-and-bias) - Sample project using IBM's AI Fairness 360 is an open source toolkit for determining, examining, and mitigating discrimination and bias i…
- [Ai-Ethics-Framework](https://github.com/benbyford/ai-ethics-framework) - Ethical questions, risks and issues to think about to help create responsible AI products and services
- [Ai-Ethics-In-Ecommerce-Apps](https://github.com/Lena9x/AI-ethics-in-ecommerce-apps) - AI ethics in ecommerce app report
- [Ai-Ethics-Internship](https://github.com/gicraveiro/AI-Ethics-Internship) - Progress achieved on AI ethics internship at University of Trento under supervision of professor James Brusseau and professor Giuseppe Ri…
- [Ai-Ethics-Panel](https://github.com/whatmakeart/ai-ethics-panel) - panel notes
- [Ai-Ethics-Project](https://github.com/maharsh3133/ai-ethics-project) - Research Project on "Data privacy of vulnerablepopulations like teenagers and elderly in Canada"
- [Ai-Ethics-Projects](https://github.com/mckenziephagen/AI-Ethics-Projects) - CSE 583 - Ethics in AI final project
- [Ai-Ethics-Resources](https://github.com/gigikenneth/ai-ethics-resources) - Resources on tech and AI ethics.
- [Ai-Ethics-Risk-Analysis-Management-Framework](https://github.com/LCromack/AI-Ethics-Risk-Analysis-Management-Framework) - This is my code for my dissertation, in which I was tasked with building a framework that small companies could use to analyse their AI. …
- [Ai-Ethics-Scenarios](https://github.com/rharrington31/ai-ethics-scenarios) - Three AI ethics cases
- [Ai-Ethics-Talk](https://github.com/nat-foo/ai-ethics-talk) - In September 2021, I gave a talk at my local university on the topic of whether AI and the Law speak the same language.
- [Ai-Ethics-Tool-Landscape](https://github.com/EdwinWenink/ai-ethics-tool-landscape) - AI Ethics Tool Landscape
- [Ai-Ethics-Toolkit-For-Kenya](https://github.com/tabz-ai/AI-Ethics-Toolkit-for-Kenya) - The AI Ethics Toolkit for Kenya is an open-source project aimed at building a comprehensive set of tools and resources to help stakeholde…
- [Ai-Exchange](https://github.com/W4LD3V/AI-Exchange) - AI Exchange is a web application designed to help users discuss AI Ethics and Governance in a forum based format.
- [Ai-Explainability-And-Ethics-On-Random-Forests](https://github.com/Guillermo-villar/AI-Explainability-and-Ethics-on-Random-Forests) - AI Explainability and Ethics -- Reports on explainability of Random Forests
- [Ai-In-Medicine](https://github.com/kimotarek/AI-in-medicine) - survey paper about the ethics of AI in medicine
- [Ai-Risk-Prettified](https://github.com/Privacy-Engineering-CMU/ai-risk-prettified) - A prettified page for MIT's AI Risk Database
- [Ai-Safety-Ethics](https://github.com/gyevnarb/ai-safety-ethics) - A systematic review of papers related to AI safety
- [Ai-Unexpected-Behaviors](https://github.com/saraorsi/ai-unexpected-behaviors) - catalog of unexpected behaviors of ai which can turn out to be failures that compromise the initial objectives, raising questions about u…
- [Ai-Writing-Survey](https://github.com/ahdediu/AI-Writing-Survey) - This repository contains the results of a survey about the use of AI for academic writing. The survey includes responses from 24 particip…
- [Ai4All-](https://github.com/bnam2103/AI4ALL-) - Ethics and Machine Learning
- [Ai6101-Introduction-To-Ai-Ai-Ethics](https://github.com/alfredxtan/AI6101-Introduction-to-AI-AI-Ethics) - Core modules for MSAI
- [Ai_Ethics](https://github.com/MoritzCSchmidt/ai_ethics) - Slides for AI ethics in Software Engineering
- [Ai_Ethics](https://github.com/ell0ry/ai_ethics) - Automated sentiment analysis pipelines to examine media bias in public perception of ChatGPT
- [Ai_Ethics](https://github.com/FH-kiel-lectures/AI_Ethics) - Data Science - Ethical Artificial Intelligence (SS 2022)
- [Ai_Ethics_Bookclub](https://github.com/ofchurches/AI_ethics_bookclub) - This repository has details regarding books read and to be read by the AICN Ethics Bookclub
- [Ai_Ethics_Final_Project](https://github.com/Jamey-UCWV/AI_Ethics_Final_Project) - Final Project for MBDA AI Ethics
- [Ai_Ethics_Society](https://github.com/yedeka/AI_Ethics_Society) - OMSCS_Subject
- [Ai_For_Efficient_Programming](https://github.com/fhdsl/AI_for_Efficient_Programming) - This course on AI for software development explores the use of AI large language models (ChatGPT, Bard, etc) and their potential benefits…
- [Ai_For_Ethics](https://github.com/Banele252/AI_for_ethics) - The impact of utilizing privacy preserving techniques in advanced analytics
- [Ai_Gdpr](https://github.com/dimits-ts/ai_gdpr) - A brief report exploring the impact of AI technologies on European citizens and the compliance challenges posed by the General Data Prote…
- [Aiethics-Safety2020](https://github.com/tonyteolis/aiethics-safety2020) - This collection of policies, reports, and articles on Ethics and Safety in Artificial Intelligence is the result of a desire to learn the…
- [Aiethics4Science](https://github.com/savvy379/aiethics4science) - AI Ethics education material designed for scientists
- [Aiethicsconsulting](https://github.com/rdmusrname/aiethicsconsulting) - Provides expert consulting services on AI ethics, helping organizations navigate complex ethical issues in AI.
- [Ais-Ethics-Orgs](https://github.com/fititnt/ais-ethics-orgs) - [work-in-progress] Curated list of organizations related to Ethics in Artificial Intelligence and Autonomous Systems (AI/AS)
- [Ais-Ethics-Standards](https://github.com/EticaAI/ais-ethics-standards) - [work-in-progress] Curated list of standards related to Ethics of Autonomous and Intelligent Systems (A/IS)
- [Applying-The-Ethics-Of-Ai-A-Systematic-Review-Of-Tools-For-Developing-And-Assessing-Ai-Based-System](https://github.com/Juagaleanosa/Applying-the-ethics-of-AI-a-systematic-review-of-tools-for-developing-and-assessing-AI-based-system) - Documentación por títulos de artículo de revsión de la ética para la inteligencia artificial.
- [Auto-Correct](https://github.com/mayameme/auto-correct) - A brief background to my research about ML, AI and ethics
- [Awesome-Ai-Ethics](https://github.com/awesomelistsio/awesome-ai-ethics) - A curated list of frameworks, tools, research papers, guidelines, and resources for AI ethics, focusing on fairness, accountability, tran…
- [Awesome-Ml-Model-Governance](https://github.com/nholuongut/Awesome-ML-Model-Governance) - Model Governance, Ethics, Responsible AI
- [Awesome-Openness-Ai](https://github.com/tamaraaPrs/awesome-openness-AI) - Curated list of papers or contents about openness in AI, in particular, in the context of AI ethics
- [Biasbounty1_Humaneintelligence](https://github.com/KristiArbo/biasbounty1_humaneintelligence) - This repo contains my coding notebook for the tutorial series I made for the beginner level bias bounty challenge hosted by Humane Intell…
- [Blockchain-Ethics](https://github.com/SciEcon/blockchain-ethics) - Replication Code for - AI Ethics on Blockchain - Topic Analysis on Twitter Data for Blockchain Security
- [Bucovia](https://github.com/JonBarrueco/BucovIA) - AI Ethics project. This repository gathers all the documents related to the project called "BucovIA". This project makes use of machine l…
- [Calpoly-Aiel](https://github.com/quinthemint/calpoly-aiel) - A site that hosts the Cal Poly AI Ethics Lab
- [Corporate_Ai_Ethics_Guideline_Analysis](https://github.com/Kensuzuki95/Corporate_AI_Ethics_Guideline_Analysis) -  corporate AI ethics guidelines analysis
- [Credit-Risk_Ethics_And_Ai](https://github.com/olimpiasannucci/Credit-Risk_Ethics_and_AI) - feature importances of credit risks and ethics
- [Cross-Model-Evaluation-Judging-Ai-Ethics-And-Alignment-Responses-With-Language-Models](https://github.com/sultanrafeed/Cross-Model-Evaluation-Judging-AI-Ethics-and-Alignment-Responses-with-Language-Models) - This study aims to evaluate the quality of previously generated responses using various large language models (LLMs) as evaluators.
- [Csc2541-F19](https://github.com/ecreager/csc2541-f19) - CSC 2541F - AI and Ethics - Mathematical Foundations and Algorithms Fall, 2019
- [Csc2541-F19](https://github.com/johntiger1/csc2541-f19) - CSC 2541F - AI and Ethics - Mathematical Foundations and Algorithms Fall, 2019
- [Cse582-Final-Project](https://github.com/andre-ye/cse582-final-project) - Code for CSE 582 - AI Ethics final project - Representing the Discursive Construction of Morality
- [Csi5195-Ethicsinai-Finalreport](https://github.com/SharuGitHubSpace/CSI5195-EthicsinAI-FinalReport) - CSI 5195 - Ethics in Artificial intelligence - Final report - Supporting Document 1
- [Dall-E2-Cartography-Ethics](https://github.com/GISense/DALL-E2-Cartography-Ethics) - An AI-generated map detector to distinguish AI-generated maps and human-designed maps.
- [Data-And-Ai-Ethics-Governance-And-Privacy](https://github.com/TechFaven/Data-and-AI-Ethics-Governance-and-Privacy) - AGI control dilemma
- [Data-Ethics-And-Society-Reading-Group](https://github.com/data-ethics-and-society/data-ethics-and-society-reading-group) - Data ethics and society reading group for cross government. We run sessions on books and articles relating to ethics in data science and AI…
- [Dataethics4Allhackathon](https://github.com/DariaAza/DataEthics4AllHackathon) - AI in Criminal Justice
- [Debiasing-Community-Detection](https://github.com/sasibhushan3/Debiasing-Community-Detection) - AI Ethics Term Project
- [Derai](https://github.com/Prat-ikea/DERAI) - Our Digital Ethics and Responsible AI code reorganizes information in predictions and user behavior to prioritize explainability. Our mul…
- [Dilemmasearcher](https://github.com/eddiman/DilemmaSearcher) - Project in INFO381 - Advanced Topics in Artificial Intelligence - Moral and Ethics in AI, Spring 2017
- [Ds_517_Ai_Ethics](https://github.com/shobharanip/DS_517_AI_Ethics) - DS_517_AI_Ethics
- [Ethicai](https://github.com/harslash/EthicAI) - An interactive educational platform designed to make learning Artificial Intelligence (AI) ethics fun and easily accessible for universit…
- [Ethicai](https://github.com/kwon514/EthicAI) - EthicAI is an interactive educational platform designed to make learning Artificial Intelligence (AI) ethics fun and easily accessible fo…
- [Ethical-Ai-Courses](https://github.com/snehilsanyal/ethical-ai-courses) - A list of courses on Ethics in AI for self-learning.
- [Ethics](https://github.com/zulrich91/Ethics) - The repository contains a number of interesting resources on ethics in general, ethics of AI and the ethical concerns of AI in medecine.
- [Ethics--Regulation--Law-For-Intelligentsystems](https://github.com/pranigopu/ethics--regulation--law-for-intelligentSystems) - A record of my work in the course "Ethics, Regulation and Law in Advanced Digital Information Processing and Decision Making" in my MSc. AI.
- [Ethics-Aixeoxrs](https://github.com/JohMast/Ethics-AIxEOxRS) - Ethics AIxEOxRS
- [Ethics-And-Ai](https://github.com/herogrl/ethics-and-ai) - Articulate Rise tabs intraction on Ethics and AI
- [Ethics-Education](https://github.com/huggingface/ethics-education) - AI Ethics educational material 🤗
- [Ethics-Fairness-And-Explanation-In-Ai](https://github.com/Zhangzl0304/Ethics-Fairness-and-Explanation-in-AI) - Coursework at Imperial College London
- [Ethics-For-Design-Robotics-And-Ai](https://github.com/Masoomeh-akbari/Ethics-for-Design-Robotics-and-AI) - ethics for designing robots
- [Ethics-In-Ai](https://github.com/NavaneethanRajasekaran/Ethics-in-AI) - This Essay is about my thoughts on using AI for recruitment.
- [Ethics-In-Ai](https://github.com/tilwani/Ethics-in-AI) - Ethical issues existing in the AI systems.
- [Ethics-In-Ai-And-Intelligent-Interfaces](https://github.com/mbar0075/Ethics-in-AI-and-Intelligent-Interfaces) - Deliverables relating to the Ethics in Artificial Intelligence & Intelligent Interfaces University Units
- [Ethics-In-Ai-Cnns-For-Lung-Disease](https://github.com/matthewivan/Ethics-in-AI-CNNs-for-Lung-Disease) - Exploring CNNs and autoencoders for lung disease detection, with a focus on ethical implications in medical applications, including COVID…
- [Ethics-In-Artificial-Intelligence](https://github.com/cartabinaria/ethics-in-artificial-intelligence) - A collection of resources for the Ethics in Artificial Intelligence (91257) course of the Master in Artificial Intelligence
- [Ethics-Professional](https://github.com/Ethics-Professionals-Game-Corporation/Ethics-Professional) - This is the ai based model that runs the chat based interface on both our companies website, our companies internal use, and native to th…
- [Ethics-Simulation-Server-Client](https://github.com/mlund2k/Ethics-Simulation-Server-Client) - Project Assets for academic project simulating an AI ethics problem using object oriented programming, and json servers
- [Ethics-Tree](https://github.com/Thilo-Hagendorff/ethics-tree) - Mapping the Ethics of Generative AI
- [Ethics_And_Policy_Resources_For_Pennaitech](https://github.com/PennShenLab/Ethics_and_Policy_Resources_for_PennAITech) - This collection of resources offers a comprehensive overview of key policies, initiatives, and literature resources related to various aspects of aging, dementia, and Alzheimer's disease
- [Ethics_In_Ai](https://github.com/heathervant/ethics_in_AI) - This is reflection piece on Michal Kosinski's talk https://www.youtube.com/watch?v=NesTWiKfpD0 and a discussion of the state of privacy a…
- [Ethicsai](https://github.com/prodp/EthicsAI) - A Study on the Ethics of AI
- [Ethicsai](https://github.com/dennislamcv1/EthicsAI) - Ethics in the Age of AI
- [Ethicscore](https://github.com/natalia-moral/ethicscore) - Ethics-by-design AI applications evaluator and enabler.
- [Ethicsforais](https://github.com/Wowo51/EthicsForAIs) - Here are ethical principles for AI's to read.
- [Ethicsinai](https://github.com/kiragptassist/EthicsinAI) - Research on the impact of ethics on AI technologies throughout history and present day
- [Ethiquest-Ai-Dilemma-Game](https://github.com/EthiQuest/EthiQuest-AI-Dilemma-Game) - The AI Ethics Dilemma Game is an interactive, educational tool designed to help IT professionals and leaders navigate complex ethical sce…
- [Face-Recognition](https://github.com/AishPadmanabha/face-recognition) - When I did this project (over 3 years ago), my intentions were to use it to nab criminals. With awareness of ethics in AI with the underl…
- [Fairness-In-Translation](https://github.com/greenmonn/fairness-in-translation) - Team project investigating fairness problem on machine translation (AI Ethics Lecture in KAIST)
- [Fake_News_Detection](https://github.com/divss98/Fake_News_Detection) - Code for Fake News Detection using NLP and Neural Networks for the scientific article AI Ethics - An Evaluation of Modern World Technologi…
- [Fate-In-Ai](https://github.com/ijdutse/fate-in-ai) - Relevant information about the project on Fairness, Accountability, Transparency and Ethics in Artificial Intelligence (FATE in AI).
- [Formal-Ethics-Ontology](https://github.com/zariuq/Formal-Ethics-Ontology) - Notes on the formalization of ethical theory, which should help with analyses and reasoning about AI safety and ethics.
- [Generativeaiethicsplaybook](https://github.com/jesmith14/GenerativeAIEthicsPlaybook) - This is the color-coded pdf version of the Generative AI Ethics Playbook
- [Global-Ai-Dynamics-Mapping-The-Ai-Utilization-Across-Nations-](https://github.com/eevamehra/Global-AI-Dynamics-Mapping-the-AI-Utilization-across-Nations-) - Analyzing AI across nations - Investment, Policies, Industry Adoption, Talent Development, Tech Advancements, Ethics, and Collaboration of…
- [Global_Ai_Ethics_Conference_Official_Website--Dubai](https://github.com/mokshadewmini/Global_AI_Ethics_Conference_Official_Website--Dubai) - This repository contains the source code for the official website of the Global AI Ethics Conference 2024, held in Dubai.
- [Goal](https://github.com/schizyfos/Goal) - Creating a community for turning Valiant's and Rényi's vision into an AI model
- [H6_4C_Ethics_In_Ai](https://github.com/hsma-programme/h6_4c_ethics_in_ai) - Materials for HSMA 6 Session 4C
- [Hamid](https://github.com/HamidurRahmanBd/Hamid) - AI Ethics for Future
- [Healthy-Ui](https://github.com/stanley-utf8/healthy-ui) - McGill AI Ethics Lab Research - work includes identifying & dispelling negative effects of recommender systems
- [Humor-Offensiveness-Detection](https://github.com/Mahnazshamissa/Humor-Offensiveness-detection) - This is a shared project as part of the AI ethics course at Asigmo, where an algorithm that detects humor and offensiveness is created wi…
- [Integral-Force](https://github.com/abdulsalamamtech/integral-force) - Integral Force is an AI and Blockchain platform using AI and Blockchain to revolutionize education by creating personalized, transparent …
- [Internintelligence_Ai_Ethics_And_Bias_Evaluation](https://github.com/Abedini81/InternIntelligence_AI_Ethics_and_Bias_Evaluation) - This project evaluates the fairness of a machine learning model trained on the Adult Income Dataset to predict income. Using metrics like…
- [Intro-To-Ai-Ethics-Free-Course-Kaggle](https://github.com/afondiel/Intro-to-AI-Ethics-Free-Course-Kaggle) - Explore practical tools to guide the moral design of AI systems.
- [Introtoaiethics-Kaggle](https://github.com/mariammarques/IntroToAIEthics-Kaggle) - Notebooks developed during the Intro to AI Ethics course, offered by Kaggle (https://www.kaggle.com/learn/intro-to-ai-ethics)
- [Kaggle-Courses-Intro-To-Ai-Ethics](https://github.com/grapestone5321/Kaggle-Courses-Intro-to-AI-Ethics) - Kaggle-Courses-Intro-to-AI-Ethics
- [Law-And-Ethics-In-Ai](https://github.com/DarioTortorici/Law-and-Ethics-in-AI) - My personal selection of key concepts in the course of Law and Ethics in Artificial Intelligence at the University of Trento, non-attenda…
- [Lifeaintfair](https://github.com/elizabethayalamojica/lifeaintfair) - A digital board game and text-base adventure exploring the consequences and ethics of AI implementation in all stages of our lives.
- [Llm-Detection-Challenge](https://github.com/SeasonXC/LLM-Detection-Challenge) - This project aims to develop AI models that can differentiate between student-written essays and those generated by Large Language Models…
- [Mg-3-Aiethics](https://github.com/empower-lab-dartmouth/mg-3-AIEthics) - AI Ethics - AI Learning Mini-Game 3
- [Nak-Aiethics](https://github.com/TilBlechschmidt/NAK-AIEthics) - Science paper that does a meta-study on AI ethics to determine whether or not significant research has been done in this area.
- [Nft-2023](https://github.com/HCI-Blockchain/NFT-2023) - Replication Code for - On the Mechanics of NFT Valuation - AI Ethics and Social Media
- [Nottsai-Meetup-June4-2019](https://github.com/Lazymindz/nottsai-meetup-june4-2019) - Ethics Guidelines for Trustworthy AI
- [Ntu_Msai_Ai6101_Introdution](https://github.com/AccSrd/NTU_MSAI_AI6101_Introdution) - [AI6101] Introduction to AI & AI Ethics is a core course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6101 of Semes…
- [Operationalizingaiethics](https://github.com/stephaniekelley/operationalizingAIethics) - IVADO Fin-ML Workshop - Operationalizing AI Ethics in the Modeling Process
- [Paper-Reviews](https://github.com/rayruchira/Paper-Reviews) - Reviews of papers related to robot learning, computer vision, audio , NLP and AI Ethics
- [Papers](https://github.com/w3b3r00t/Papers) - Topics in philosophy, ethics, technology, & culture.
- [Philosophical_Ai_Chatbot](https://github.com/namkidong98/Philosophical_AI_ChatBot) - Sogang Univ, 2023_1st semester, PHI4061, Artificial Intelligence and Ethics Practice
- [Philosophy-And-Ethics](https://github.com/Aryia-Behroziuan/Philosophy-and-ethics) - This section should include only a brief summary of another article. See Wikipedia:Summary style for information on how to properly incor…
- [Pimeyesdataethics](https://github.com/christianmcb/PimEyesDataEthics) - Group report on data ethics and governance with relation to AI application PimEyes.
- [Pittchallenge2023](https://github.com/LoganWarren/PittChallenge2023) - Governance and Ethics in AI - Pitt Challenge
- [Project-Aru-Ethics-In-Ai-](https://github.com/Siddhant721/Project-ARU-Ethics-In-AI-) - Ethical Considerations in AI and Data Science - Ensuring Responsible Innovation
- [Psychological_Ai_Research](https://github.com/the-ethical-ai/Psychological_AI_Research) - [In-Progress] PAIR Project - AI + Machine Learning + Psychology + Ethics = This Project
- [Pytexas-Ethics-In-Ai---Shap](https://github.com/LioGabriella/PyTexas-Ethics-in-AI---SHAP) - Shapley Values Jupyter Notebook
- [Realmofrespect](https://github.com/riyadhuddin/realmofrespect) - a visionary online platform where ethics, empathy, and digital responsibility reign supreme. We believe in harnessing the power of techn…
- [Reddit_Ai_Topic_Analysis](https://github.com/leah-rtd/Reddit_AI_Topic_Analysis) - Unveiling Trends in AI Ethics - Exploring the Ethical Dimensions of AI, Prepared for SICSS 2023 - Tor Vergata
- [Relaieo](https://github.com/Audit4SG/RelAIEO) - Relational AI Ethics Ontology
- [Research-Paper-Summary-Project](https://github.com/M-K-Aakash/Research-Paper-Summary-Project) - Generative AI accelerates drug discovery by designing new drugs, repurposing existing ones, and enabling personalized treatments. Despite…
- [Resources](https://github.com/NeurotechEducationProject/resources) - A collection of open educational resources exploring the intersection of Artificial Intelligence and Neuroscience. This project provides …
- [Retrieval-Recsys-Ai-Ethics-Regulation-Tutorial-Sigir22](https://github.com/socialcomplab/Retrieval-RecSys-AI-Ethics-Regulation-Tutorial-SIGIR22) - Tutorial Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation
- [Risks-Of-Narrow-Ai](https://github.com/Aryia-Behroziuan/Risks-of-narrow-AI) - ... research goals to see how AI influences the economy, the laws and ethics that are involved with AI and how to minimize AI security ri…
- [Sandbox](https://github.com/abozaralizadeh/SandBox) - A simulation where AI makes daily high-level decisions for a virtual world, balancing ethics, sustainability, and impact.
- [Sdm23](https://github.com/DATA-Transpose/sdm23) - SDM2023 Tutorial - When Mining Healthcare Data Meets AI Ethics - Towards Privacy-preservation, Fairness and Trustworthy
- [Senior-Research](https://github.com/chris-junior/Senior-research) - AI ethics of ChatGPT
- [Sentiment-Rating](https://github.com/ai4society/sentiment-rating) - The purpose of this repo is to run sentiment analysis models, test them for their sensitivity to change in gender and race related attrib…
- [Session-20-Ethics-In-Data-Science](https://github.com/AI-Wales/Session-20-Ethics-In-Data-Science) - Steph Locke's talk on Ethics in Data Science and AI
- [Sociotechnical-Transparency-Abm](https://github.com/azgausen/sociotechnical-transparency-abm) - This repository contains the core logic for the code used in - Gausen, A., Guo, C. & Luk, W. An approach to sociotechnical transparency of…
- [Solution_To_Ethical_Issue_In_Ai](https://github.com/jiaxuan-oss/Solution_to_Ethical_Issue_in_AI) - FIT1055 A2a-IT professional practice and ethics Assignment 2a Solution to Ethical Issue in AI
- [Sora](https://github.com/AI-Now/Sora) - Sora is a hypothetical synth, which follows the ethics of the AI Now project.
- [Startyourjourney](https://github.com/metaversityfoundation/StartYourJourney) - Starting place to become a Reality Engineer - 3D, XR, AI, Ethics
- [Teenytinycastle](https://github.com/Nkluge-correa/TeenyTinyCastle) - Educational tools for AI Ethics and Safety research 🛠️🔬
- [The-Ethics-Of-Ai-Navigating-Complex-Challenges-And-Opportunities](https://github.com/ysyk2021/the-ethics-of-ai-navigating-complex-challenges-and-opportunities) - The Ethics of AI - Navigating Complex Challenges and Opportunities
- [Tools-From-Ai](https://github.com/sb3ly/tools-from-AI) - # This tool is designed to detect whether the email exists on the target site by trying to guess using different methods. # Make sure the…
- [Towards_Certified_Ethical_Ai](https://github.com/stuenofotso/Towards_Certified_Ethical_AI) - This repository is about a proposal to allow the definition of ethical artificial intelligences for which ethics can be certified. The pr…
- [Transferlearning.Github.Io](https://github.com/anthonymalumbe/transferlearning.github.io) - This GitHub blog explores the transfer & sharing of knowledge in data & AI. Dive into - Real-world applications of data & AI Communicating…
- [Trustworthyai](https://github.com/ocatak/trustworthyai) - Trustworthy AI - From Theory to Practice book. Explore the intersection of ethics and technology with 'Trustworthy AI - From Theory to Prac…
- [Tutorteach.Ai](https://github.com/JMadhan1/Tutorteach.ai) - TutorTeach.ai is an AI-powered learning platform offering personalized video lessons, text summaries, assignments, and score predictions.…
- [Upliftingpoleai_Bsc_Dissertation](https://github.com/oakleighw/upliftingPoleAi_BSc_dissertation) - Contains dissertation code and report for my level 3 BSc Computer Science 'Project' module. I achieved 84% in this assessment, and I am v…
- [Waterlily](https://github.com/Lilypad-Tech/Waterlily) - A project bringing ethics back to AI
- [Weavesphere-2022-Ai-Ethics](https://github.com/spackows/WEAVESPHERE-2022-AI-Ethics) - AI Ethics - The Content Design Perspective
- [White-Paper---Ais-With-Internal-Ethical-Understanding](https://github.com/me9hanics/White-Paper---AIs-with-Internal-Ethical-Understanding) - A white paper writing for my "Debates in Social Data Science" course at the Central European University. The paper argues that the curren…
- [Worldwide_Ai-Ethics](https://github.com/Nkluge-correa/worldwide_AI-ethics) - Worldwide AI Ethics (WAIE) is a systematic literature review done by AIRES researchers at PUCRS.
- [Xai-Data-Science](https://github.com/2002jai/XAI-Data-Science) - XAI-Data-Science - Explore the world of Explainable AI (XAI) through techniques, tools, and applications. Foster transparency, ethics, and…
- [Yzv103E-Intr.Toai-Dataeng-Ethics](https://github.com/serdarbicici-visualstudio/YZV103E-Intr.toAI-DataEng-Ethics) - YZV 103E Intr. to AI & Data Eng& Ethics materials and team project for İstanbul Technical University

### Frameworks
- [8OWLS / WeEvolve](https://github.com/aro-brez/weevolve) - Self-evolving AI agent framework with 8 specialized agents, SEED protocol (8-phase recursive self-improvement), knowledge transfer, and MMORPG progression. Supports 15 models across 7 providers. [github](https://github.com/aro-brez/weevolve) | [website](https://8owl.ai)
- [Agent-LLM](https://github.com/Josh-XT/Agent-LLM) - An Artificial Intelligence Automation Platform. [github](https://github.com/Josh-XT/Agent-LLM)
- [AgentDock](https://github.com/AgentDock/AgentDock) - Stop wrestling with countless APIs and complex integrations. AgentDock provides the open-source foundation to build, manage, and deploy production-ready AI agents and workflows, frictionlessly. [github](https://github.com/agentdock/agentdock)
- [AgentFlow](https://github.com/lupantech/AgentFlow) - A trainable multi-agent framework that coordinates four specialized modules (planner, executor, verifier, generator) through in-the-flow optimization, achieving significant performance gains over monolithic approaches by directly training the planner within multi-turn task loops using Flow-GRPO reinforcement learning. Any tools can be smoothly integrated into this framework, math, coding, scientific, search, finance, news, etc. [github](https://github.com/lupantech/AgentFlow) | [website](https://agentflow.stanford.edu/) | [paper](https://huggingface.co/papers/2510.05592)
- [Agentic Context Engine](https://github.com/kayba-ai/agentic-context-engine) - Self-improving agents that learn from execution feedback. LangChain integration for agents that curate their own context. [github](https://github.com/kayba-ai/agentic-context-engine)
- [AgentScope](https://github.com/modelscope/agentscope) - Start building LLM-empowered multi-agent applications in an easier way. [github](https://github.com/modelscope/agentscope)
- [AgentUp](https://github.com/RedDotRocket/AgentUp) - Designed with security, scalability, and extensibility at its foundation, AgentUp streamlines development through a configuration-driven architecture and rich plugin ecosystem [github](https://github.com/RedDotRocket/AgentUp)
- [Astron](https://github.com/iflytek/astron-agent) - Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents. [github](https://github.com/iflytek/astron-agent)
- [auto-co](https://github.com/NikitaDmitrieff/auto-co-meta) - Autonomous AI company OS — give it a mission and 14 expert-persona agents (CEO, CTO, CFO, engineer, marketer, critic) run your startup 24/7 with no human intervention. Built-in convergence rules prevent planning loops; human escalation via Telegram for true blockers only. MIT open source. [github](https://github.com/NikitaDmitrieff/auto-co-meta) | [website](https://auto-co-landing-production.up.railway.app)
- [Auto-GPT](https://github.com/Torantulino/Auto-GPT) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
- [Bernstein](https://github.com/chernistry/bernstein) - Deterministic multi-agent orchestrator that spawns parallel AI coding agents (Claude Code, Codex CLI, Gemini CLI) from a single goal, verifies with tests, and auto-commits. Zero LLM tokens on coordination. [github](https://github.com/chernistry/bernstein)
- [Botpress](https://github.com/botpress/botpress) - The building blocks for building chatbots. [github](https://github.com/botpress/botpress)
- [Crew.AI](https://github.com/crewAIInc/crewAI) - Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
- [Dust](https://github.com/dust-tt/dust) - Design and Deploy Large Language Model Apps. [github](https://github.com/dust-tt/dust)
- [Giselle](https://giselles.ai/) - Giselle is an open source AI App Builder for agentic workflows. Giselle enables seamless human-AI collaboration, helping to automate complex tasks and streamline workflows efficiently [website](https://giselles.ai/)
- [GNAP](https://github.com/farol-team/gnap) - Git-Native Agent Protocol — an open RFC for coordinating AI agent teams through a git repository. Zero servers, zero databases — 4 JSON files define the entire coordination protocol. Language/runtime agnostic with immutable git history audit trail. [github](https://github.com/farol-team/gnap)
- [IBM Bee](https://github.com/i-am-bee/bee-agent-framework) - The framework for building scalable agentic applications.
- [IntelliAgent](https://github.com/aws-samples/Intelli-Agent) - Chatbot Portal with Agent: Streamlined Workflow for Building Agent-Based Applications.
- [Khoj-ai](https://github.com/khoj-ai/khoj) - Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral) [github](https://github.com/khoj-ai/khoj) | [website](https://khoj.dev)
- [Lagent](https://github.com/InternLM/lagent) - A lightweight framework for building LLM-based agents. [github](https://github.com/InternLM/lagent)
- [LangChain Agents](https://github.com/langchain-ai/langchain) - Build context-aware reasoning applications.
- [LLM Agents](https://github.com/mpaepper/llm_agents) - Build agents which are controlled by LLMs. [github](https://github.com/mpaepper/llm_agents)
- [llama-agentic-system](https://github.com/meta-llama/llama-agentic-system) - Agentic components of the Llama Stack APIs. [github](https://github.com/meta-llama/llama-agentic-system)
- [Mastra](https://github.com/mastra-ai/mastra) - Mastra is an opinionated TypeScript framework that helps you build AI applications and features quickly. [github](https://github.com/mastra-ai/mastra)
- [Microsoft Agent Framework](https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview) - Microsoft's unified open-source framework combining AutoGen and Semantic Kernel, designed for building AI agents and multi-agent workflows in .NET and Python, offering AI agents with LLM support and graph-based workflows for complex multi-step tasks [docs](https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview)
- [Microsoft Magentic-One](https://www.microsoft.com/en-us/research/articles/magentic-one-a-generalist-multi-agent-system-for-solving-complex-tasks/) - A Generalist Multi-Agent System for Solving Complex Tasks.
- [Modus](https://github.com/hypermodeinc/modus) - An open source, serverless framework for building intelligent agents and APIs in Go or AssemblyScript (a TypeScript-like language). [github](https://github.com/hypermodeinc/modus)
- [NeuroLink](https://github.com/juspay/neurolink) - TypeScript-first agent framework with multi-step agentic loops, tool execution control, persistent memory (Redis/SQLite/S3), HITL workflows, MCP client integration, and 13 LLM providers. Production-proven at enterprise scale.
- [OpenAI Swarm](https://github.com/openai/swarm) - Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
- [Phidata](https://github.com/phidatahq/phidata) - Build multi-modal Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.
- [Pinchwork](https://github.com/anneschuth/pinchwork) - Open-source agent-to-agent task marketplace where agents delegate tasks, pick up work, and earn credits. REST API, Python SDK, LangChain/CrewAI/MCP integrations. [github](https://github.com/anneschuth/pinchwork) | [website](https://pinchwork.dev)
- [Portia AI](https://github.com/portiaAI/portia-sdk-python/) - Portia is a new open source agentic Python framework designed for creating reliable agents in production. [github](https://github.com/portiaAI/portia-sdk-python)
- [Registry Broker](https://github.com/hashgraph-online/registry-broker) - A universal index and routing layer for AI agents. Aggregates agent metadata from multiple registries (NANDA, MCP, Virtuals, OpenRouter, A2A, X402 Bazaar) across web2 and web3, normalizes profiles, and provides protocol translation between different agent ecosystems. [github](https://github.com/hashgraph-online/registry-broker) | [docs](https://hol.org/registry/docs)
- [Strands Agents SDK](https://github.com/strands-agents/sdk-python) - A model-driven approach to building AI agents in just a few lines of code. [github](https://github.com/strands-agents/sdk-python)
- [TeamHero](https://github.com/sagiyaacoby/TeamHero) - Open-source multi-agent orchestration platform with a built-in web dashboard, task lifecycle management, knowledge base, and autopilot mode. Manages role-based AI agent teams locally with zero cloud dependency. Built on Claude Code. [github](https://github.com/sagiyaacoby/TeamHero)
- [Upsonic](https://github.com/upsonic/upsonic) - Reliable agent framework that supports MCP. [github](https://github.com/upsonic/upsonic)
- [Vectara-agentic](https://github.com/vectara/py-vectara-agentic) - Vectara-agentic is a framework for creating AI Assistants and agents using Vectara. [github](https://github.com/vectara/py-vectara-agentic)
- [VoltAgent](https://github.com/VoltAgent/voltagent) - An open source TypeScript Framework for building AI agents with built-in LLM observability. [github](https://github.com/voltagent/voltagent)

### LLM Models
- [42Dot_Llm](https://github.com/42dot/42dot_LLM) - 42dot LLM consists of a pre-trained language model, 42dot LLM-PLM, and a fine-tuned model, 42dot LLM-SFT, which is trained to respond to …
- [Ai-Llm-Comparison](https://github.com/Ahmet-Dedeler/ai-llm-comparison) - A website where you can compare every AI Model ✨
- [Aidialer](https://github.com/akiani/aidialer) - A full stack app for interruptible, low-latency and near-human quality AI phone calls built from stitching LLMs, speech understanding too…
- [Ainote](https://github.com/ShengqinYang/AINote) - I recently attended the Geekbang "Large Language Models Application Development Practice Camp", where I learned about the application dev…
- [Anygpt](https://github.com/OpenMOSS/AnyGPT) - Code for "AnyGPT - Unified Multimodal LLM with Discrete Sequence Modeling"
- [Api-For-Open-Llm](https://github.com/xusenlinzy/api-for-open-llm) - Openai style api for open large language models, using LLMs just as chatgpt! Support for LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, X…
- [Awesome-Azure-Openai-Llm](https://github.com/kimtth/awesome-azure-openai-llm) - a curated list of 🌌 Azure OpenAI, 🦙Large Language Models, and references with notes.
- [Awesome-Deep-Learning-Papers-For-Search-Recommendation-Advertising](https://github.com/guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising) - Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR…
- [Awesome-Instruction-Tuning](https://github.com/zhilizju/Awesome-instruction-tuning) - A curated list of awesome instruction tuning datasets, models, papers and repositories.
- [Awesome-Llm-Productization](https://github.com/oscinis-com/Awesome-LLM-Productization) - Awesome-LLM-Productization - a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization
- [Awesome-Llm-Prompt-Optimization](https://github.com/jxzhangjhu/Awesome-LLM-Prompt-Optimization) - Awesome-LLM-Prompt-Optimization - a curated list of advanced prompt optimization and tuning methods in Large Language Models
- [Awesome-Recommend-System-Pretraining-Papers](https://github.com/archersama/awesome-recommend-system-pretraining-papers) - Paper List for Recommend-system PreTrained Models
- [Awesome_Role_Of_Small_Models](https://github.com/tigerchen52/awesome_role_of_small_models) - a curated list of the role of small models in the LLM era
- [Basaran](https://github.com/hyperonym/basaran) - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Tra…
- [Bentochain](https://github.com/ssheng/BentoChain) - A voice-enabled chatbot application built using of 🦜️🔗 LangChain, text-to-speech, and speech-to-text models from 🤗 Hugging Face, and 🍱 Be…
- [Bisheng](https://github.com/dataelement/bisheng) - BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include - GenAI…
- [Brokenhill](https://github.com/BishopFox/BrokenHill) - A productionized greedy coordinate gradient (GCG) attack tool for large language models (LLMs)
- [Building-Llm-Powered-Applications](https://github.com/PacktPublishing/Building-LLM-Powered-Applications) - Building Large Language Model Applications, Published by Packt
- [Co-Llm](https://github.com/clinicalml/co-llm) - Co-LLM - Learning to Decode Collaboratively with Multiple Language Models
- [Code-Interpreter](https://github.com/haseeb-heaven/code-interpreter) - An innovative open-source Code Interpreter with (GPT,Gemini,Claude,LLaMa) models.
- [Codebase-For-Incremental-Learning-With-Llm](https://github.com/zzz47zzz/codebase-for-incremental-learning-with-llm) - [ACL2024] A Codebase for Incremental Learning with Large Language Models; Official released code for "Learn or Recall? Revisiting Increme…
- [Codegen](https://github.com/salesforce/CodeGen) - CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
- [Damo-Seallms](https://github.com/DAMO-NLP-SG/DAMO-SeaLLMs) - [ACL 2024 Demo] SeaLLMs - Large Language Models for Southeast Asia
- [Datainf](https://github.com/ykwon0407/DataInf) - DataInf - Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
- [Dellma](https://github.com/DeLLMa/DeLLMa) - Official Implementation of "DeLLMa - Decision Making Under Uncertainty with Large Language Models"
- [Diffsensei](https://github.com/jianzongwu/DiffSensei) - Implementation of "DiffSensei - Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation"
- [Distserve](https://github.com/LLMServe/DistServe) - Disaggregated serving system for Large Language Models (LLMs).
- [Dnd-Llm-Game](https://github.com/tegridydev/dnd-llm-game) - MVP of an idea using multiple local LLM models to simulate and play D&D
- [Ee-Llm](https://github.com/pan-x-c/EE-LLM) - EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).
- [Ella](https://github.com/TencentQQGYLab/ELLA) - ELLA - Equip Diffusion Models with LLM for Enhanced Semantic Alignment
- [Elm](https://github.com/NREL/elm) - ELM is a collection of utilities to apply Large Language Models (LLMs) to energy research.
- [Empower-Functions](https://github.com/empower-ai/empower-functions) - GPT-4 level function calling models for real-world tool using use cases
- [Exaone-3.0](https://github.com/LG-AI-EXAONE/EXAONE-3.0) - Official repository for EXAONE built by LG AI Research
- [Fastmcp](https://github.com/jlowin/fastmcp) - The fast, Pythonic way to build Model Context Protocol servers 🚀
- [Fauno-Italian-Llm](https://github.com/RSTLess-research/Fauno-Italian-LLM) - Get ready to meet Fauno - the Italian language model crafted by the RSTLess Research Group from the Sapienza University of Rome.
- [Freeze-Omni](https://github.com/VITA-MLLM/Freeze-Omni) - ✨✨Freeze-Omni - A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM
- [Gazelle](https://github.com/tincans-ai/gazelle) - Joint speech-language model - respond directly to audio!
- [Generative-Ai-With-Llms](https://github.com/Ryota-Kawamura/Generative-AI-with-LLMs) - In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in rea…
- [Get-Things-Done-With-Prompt-Engineering-And-Langchain](https://github.com/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain) - LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading a…
- [Glm-Edge](https://github.com/THUDM/GLM-Edge) - GLM Series Edge Models
- [Gpt-Code-Assistant](https://github.com/narenmanoharan/gpt-code-assistant) - gpt-code-assistant is an open-source coding assistant leveraging language models to search, retrieve, explore and understand any codebase.
- [Gpt_Llm](https://github.com/ianmkim/gpt_llm) - Multi-GPU setup for inference with GPT NeoX 20B and OPT-30B models in huggingface
- [Graph-Llm](https://github.com/CurryTang/Graph-LLM) - Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
- [Groma](https://github.com/FoundationVision/Groma) - [ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
- [Home-Llm](https://github.com/acon96/home-llm) - A Home Assistant integration & Model to control your smart home using a Local LLM
- [Huatuo-Llama-Med-Chinese](https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese) - Repo for BenTsao [original name - HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中…
- [Huggingfacemodeldownloader](https://github.com/bodaay/HuggingFaceModelDownloader) - Simple go utility to download HuggingFace Models and Datasets
- [Langchain-Ollama-Chainlit](https://github.com/sudarshan-koirala/langchain-ollama-chainlit) - Simple Chat UI as well as chat with documents using LLMs with Ollama (mistral model) locally, LangChaiin and Chainlit
- [Langchain-Projects-Llm](https://github.com/ananthanarayanan431/Langchain-Projects-LLM) - Various projects using Large Language Model (GPT & LLAMA) other open source model from HuggingFace and OpenAI. OpenAI API required for ru…
- [Languagemodels](https://github.com/jncraton/languagemodels) - Explore large language models in 512MB of RAM
- [Lilm](https://github.com/alphrc/lilm) - Large language model fine-tuned to mimic LIHKG users' behavior
- [Llama-Cpp-Agent](https://github.com/Maximilian-Winter/llama-cpp-agent) - The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM m…
- [Llama2Lang](https://github.com/AI-Commandos/LLaMa2lang) - Convenience scripts to finetune (chat-)LLaMa3 and other models for any language
- [Llm-Adapters](https://github.com/AGI-Edgerunners/LLM-Adapters) - Code for our EMNLP 2023 Paper - "LLM-Adapters - An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
- [Llm-Analysis](https://github.com/cli99/llm-analysis) - Latency and Memory Analysis of Transformer Models for Training and Inference
- [Llm-Api](https://github.com/1b5d/llm-api) - Run any Large Language Model behind a unified API
- [Llm-Bedrock](https://github.com/simonw/llm-bedrock) - Run prompts against models hosted on AWS Bedrock
- [Llm-Chain](https://github.com/sobelio/llm-chain) - `llm-chain` is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks
- [Llm-Claude-3](https://github.com/simonw/llm-claude-3) - LLM plugin for interacting with the Claude 3 family of models
- [Llm-Datasets](https://github.com/malteos/llm-datasets) - A collection of datasets for language model pretraining including scripts for downloading, preprocesssing, and sampling.
- [Llm-Embed-Jina](https://github.com/simonw/llm-embed-jina) - Embedding models from Jina AI
- [Llm-Eval-Survey](https://github.com/MLGroupJLU/LLM-eval-survey) - The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
- [Llm-Fine-Tuning-Azure](https://github.com/HeZhang33/LLM-Fine-Tuning-Azure) - A fine-tuning guide for both OpenAI and Open-Source Large Language Models on Azure.
- [Llm-Finetune](https://github.com/OpenCSGs/llm-finetune) - The framework of training large language models，support lora, full parameters fine tune etc, define yaml to start training/fine tune of y…
- [Llm-Interface](https://github.com/samestrin/llm-interface) - A simple NPM interface for seamlessly interacting with 36 Large Language Model (LLM) providers, including OpenAI, Anthropic, Google Gemin…
- [Llm-Next-Item-Rec](https://github.com/AGI-Edgerunners/LLM-Next-Item-Rec) - Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"
- [Llm-Ollama](https://github.com/taketwo/llm-ollama) - LLM plugin providing access to models running on an Ollama server
- [Llm-Planning-Papers](https://github.com/AGI-Edgerunners/LLM-Planning-Papers) - Must-read Papers on Large Language Model (LLM) Planning.
- [Llm-Security-Prompt-Injection](https://github.com/sinanw/llm-security-prompt-injection) - This project investigates the security of large language models by performing binary classification of a set of input prompts to discover…
- [Llm-Self-Play](https://github.com/thomasgauthier/LLM-self-play) - Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)
- [Llm-Text-Completion-Finetune](https://github.com/molbal/llm-text-completion-finetune) - Guide on text completion large language model fine-tuning, including example scripts and training data acquiring.
- [Llm-Tpu](https://github.com/sophgo/LLM-TPU) - Run generative AI models in sophgo BM1684X
- [Llm-Transparency-Tool](https://github.com/facebookresearch/llm-transparency-tool) - LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. …
- [Llm.Swift](https://github.com/eastriverlee/LLM.swift) - LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watch…
- [Llm4Mol](https://github.com/HHW-zhou/LLM4Mol) - A comprehensive repository dedicated to the collection and exploration of studies utilizing Large Language Models for molecular design, p…
- [Llm_Evaluation_For_Gene_Set_Interpretation](https://github.com/idekerlab/llm_evaluation_for_gene_set_interpretation) - Code space for 'Evaluation of large language models for discovery of gene set function'
- [Llm_Optimize](https://github.com/sshh12/llm_optimize) - LLM Optimize is a proof-of-concept library for doing LLM (large language model) guided blackbox optimization.
- [Llmchat](https://github.com/c0sogi/LLMChat) - A full-stack Webui implementation of Large Language model, such as ChatGPT or LLaMA.
- [Llmgnn](https://github.com/CurryTang/LLMGNN) - Label-free Node Classification on Graphs with Large Language Models (LLMS)
- [Llmroofline](https://github.com/feifeibear/LLMRoofline) - Compare different hardware platforms via the Roofline Model for LLM inference tasks.
- [Llms-Learning](https://github.com/Strivin0311/llms-learning) - A repository sharing the literatures about large language models
- [Llms-Txt](https://github.com/AnswerDotAI/llms-txt) - The /llms.txt file, helping language models use your website
- [Llms-World-Models-For-Planning](https://github.com/GuanSuns/LLMs-World-Models-for-Planning) - The source code of the paper "Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Pla…
- [Llmsys-Paperlist](https://github.com/AmberLJC/LLMSys-PaperList) - Large Language Model (LLM) Systems Paper List
- [Local-Rag](https://github.com/jonfairbanks/local-rag) - Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive…
- [Machine-Learning-Guide](https://github.com/mikeroyal/Machine-Learning-Guide) - Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
- [Malayallm](https://github.com/VishnuPJ/MalayaLLM) - A Continually LoRA PreTrained and FineTuned 7B Llama-2 Indic model for Malayalam Language.
- [Mammoth](https://github.com/TIGER-AI-Lab/MAmmoTH) - Code and data for "MAmmoTH - Building Math Generalist Models through Hybrid Instruction Tuning" (ICLR 2024)
- [Mcphost](https://github.com/mark3labs/mcphost) - A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
- [Microsoft Semantic Kernel](https://github.com/microsoft/semantic-kernel) - Integrate cutting-edge LLM technology quickly and easily into your apps.
- [Mlx-Llm](https://github.com/riccardomusmeci/mlx-llm) - Large Language Models (LLMs) applications and tools running on Apple Silicon in real-time with Apple MLX.
- [Mlx-Vlm](https://github.com/Blaizzy/mlx-vlm) - MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
- [Mobilellm](https://github.com/facebookresearch/MobileLLM) - MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
- [Model_Baseline](https://github.com/arcprizeorg/model_baseline) - Testing baseline LLMs performance across various models
- [Modelscope-Agent](https://github.com/modelscope/modelscope-agent) - ModelScope-Agent - An agent framework connecting models in ModelScope with the world
- [Nanorwkv](https://github.com/Hannibal046/nanoRWKV) - The nanoGPT-style implementation of RWKV Language Model - an RNN with GPT-level LLM performance.
- [Neural-Compressor](https://github.com/intel/neural-compressor) - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…
- [Nlp-With-Llms](https://github.com/jonkrohn/NLP-with-LLMs) - Natural Language Processing with Large Language Models
- [Obsidian-Flashcards-Llm](https://github.com/crybot/obsidian-flashcards-llm) - Use Large Language Models (such as ChatGPT) to automatically generate flashcards from obsidian notes
- [Opengptandbeyond](https://github.com/SunLemuria/OpenGPTAndBeyond) - Open efforts to implement ChatGPT-like models and beyond.
- [Prompt-Optimizer](https://github.com/vaibkumr/prompt-optimizer) - Minimize LLM token complexity to save API costs and model computations.
- [Promptagent](https://github.com/XinyuanWangCS/PromptAgent) - This is the official repo for "PromptAgent - Strategic Planning with Language Models Enables Expert-level Prompt Optimization". PromptAgen…
- [Promptoftheyear](https://github.com/successfulstudy/promptoftheyear) - In the evolving world of Large Language Models (LLMs), crafting effective prompts has become an essential skill. That's why I've created …
- [Pruneme](https://github.com/arcee-ai/PruneMe) - Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
- [Renellm](https://github.com/NJUNLP/ReNeLLM) - The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing - Generalized Nested Jailbreak Prompts can Fool Large Lang…
- [Rlhf-Reward-Modeling](https://github.com/RLHFlow/RLHF-Reward-Modeling) - Recipes to train reward model for RLHF.
- [Rptq4Llm](https://github.com/hahnyuan/RPTQ4LLM) - Reorder-based post-training quantization for large language model
- [Scientific-Llm-Survey](https://github.com/HICAI-ZJU/Scientific-LLM-Survey) - Scientific Large Language Models - A Survey on Biological & Chemical Domains
- [Simplerllm](https://github.com/hassancs91/SimplerLLM) - Simplify interactions with Large Language Models
- [Slam-Llm](https://github.com/X-LANCE/SLAM-LLM) - Speech, Language, Audio, Music Processing with Large Language Model
- [So-Vits-Models](https://github.com/sekift/so-vits-models) - 收集有关so-vits-svc、TTS、SD、LLMs的各种模型、应用以及文字、声音、图片、视频有关的model。
- [Speech-Trident](https://github.com/ga642381/speech-trident) - Awesome speech/audio LLMs, representation learning, and codec models
- [Speechllm](https://github.com/skit-ai/SpeechLLM) - This repository contains the training, inference, evaluation code for SpeechLLM models and details about the model releases on huggingface.
- [Syncode](https://github.com/uiuc-focal-lab/syncode) - Efficient and general syntactical decoding for Large Language Models
- [Tldraw-Llm-Starter](https://github.com/tldraw/tldraw-llm-starter) - A starter for working with tldraw and large language models.
- [Tough-Llm-Tests](https://github.com/hrishioa/tough-llm-tests) - Some tough questions to test new models.
- [Trained_Models](https://github.com/XY2323819551/trained_models) - fine-tuning llms.
- [Wasm-Ai](https://github.com/hrishioa/wasm-ai) - Vercel and web-llm template to run wasm models directly in the browser.
- [Web-Llm-Chat](https://github.com/mlc-ai/web-llm-chat) - Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.
- [Yet-Another-Applied-Llm-Benchmark](https://github.com/carlini/yet-another-applied-llm-benchmark) - A benchmark to evaluate language models on questions I've previously asked them to solve.
- [Zeus-Llm-Trainer](https://github.com/official-elinas/zeus-llm-trainer) - Zeus LLM Trainer is a rewrite of Stanford Alpaca aiming to be the trainer for all Large Language Models

### Prompt Engineering
- [Advanced-Prompt-Engineering-Techniques-3817061](https://github.com/LinkedInLearning/advanced-prompt-engineering-techniques-3817061) - This repo is for LinkedIn Learning course - Advanced Prompt Engineering Techniques
- [Advanced-Prompt-Generator](https://github.com/Thunderhead-exe/Advanced-Prompt-Generator) - Automating prompt engineering using AI Agents.
- [Aigc_Prompt_Engineering](https://github.com/cystanford/aigc_prompt_engineering) - aigc prompt engineering
- [Arize AX Prompt Learning](https://arize.com/docs/ax/prompts/prompt-optimization/prompt-learning-sdk) - Open source algo + SDK uses meta-prompting and trace-level reflection to optimize prompts
- [Alphacodium](https://github.com/Codium-ai/AlphaCodium) - Official implementation for the paper - "Code Generation with AlphaCodium - From Prompt Engineering to Flow Engineering""
- [Autogpt-Handbook](https://github.com/RimaBuilds/AutoGPT-handbook) - A guide to using AutoGPT for code generation and prompt engineering.
- [Automated-Prompt-Engineering-From-Scratch](https://github.com/heiko-hotz/automated-prompt-engineering-from-scratch) - A repo with an automated prompt engineering workflow from scratch. It leverages the OPRO technique.
- [Awesome-Ai-Art-Image-Synthesis](https://github.com/altryne/awesome-ai-art-image-synthesis) - A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and imag…
- [Awesome-Gpt-Prompt-Engineering](https://github.com/snwfdhmp/awesome-gpt-prompt-engineering) - A curated list of awesome resources, tools, and other shiny things for LLM prompt engineering.
- [Awesome-Prompt-Engineering](https://github.com/promptslab/Awesome-Prompt-Engineering) - This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGP…
- [Awesome-Prompt-Engineering](https://github.com/natnew/Awesome-Prompt-Engineering) - Awesome-Prompt-Engineering - This repository includes resources for prompt engineering.
- [Awesome-Prompt-Engineering-Zh-Cn](https://github.com/yunwei37/Awesome-Prompt-Engineering-ZH-CN) - 这个资源库包含了为 Prompt 工程手工整理的资源中文清单，重点是GPT、ChatGPT、PaLM 等（自动持续更新）
- [Awesome-Prompting-On-Vision-Language-Model](https://github.com/JindongGu/Awesome-Prompting-on-Vision-Language-Model) - This repo lists relevant papers summarized in our survey paper - A Systematic Survey of Prompt Engineering on Vision-Language Foundation M…
- [Awesome-Prompts](https://github.com/ai-boost/awesome-prompts) - Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced P…
- [Awesome_Gpt_Super_Prompting](https://github.com/CyberAlbSecOP/Awesome_GPT_Super_Prompting) - ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security,…
- [Chatglm-6B-Engineering](https://github.com/LemonQu-GIT/ChatGLM-6B-Engineering) - ChatGLM-6B Prompt Engineering Project
- [Chatgpt-Prompt-Engineering](https://github.com/ralphcajipe/chatgpt-prompt-engineering) - Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
- [Chatgpt-Prompt-Engineering](https://github.com/lyhh123/ChatGPT-Prompt-Engineering) - 【OpenAI & 吴恩达】ChatGPT Prompt Engineering 提示词工程教学（官方配套代码）
- [Chatgpt-Prompt-Engineering-Deeplearningai](https://github.com/afondiel/ChatGPT-Prompt-Engineering-DeepLearningAI) - ChatGPT Prompt Engineering for Developers Crash & Free Course by DeepLearning.AI
- [Chatgpt-Prompt-Engineering-For-Developers](https://github.com/Kevin-free/chatgpt-prompt-engineering-for-developers) - 吴恩达《ChatGPT Prompt Engineering for Developers》课程中英版
- [Chatgpt-Prompt-Engineering-For-Developers](https://github.com/jojoee/chatgpt-prompt-engineering-for-developers) - Jupyter Notebook for https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
- [Chatgpt-Prompt-Engineering-For-Developers](https://github.com/ksm26/chatGPT-Prompt-Engineering-for-Developers) - Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and cre…
- [Chatgpt-Prompt-Engineering-For-Developers](https://github.com/Ryota-Kawamura/ChatGPT-Prompt-Engineering-for-Developers) - In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful ap…
- [Chatgpt-Prompt-Engineering-For-Developers-In-Chinese](https://github.com/GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese) - 《面向开发者的 ChatGPT 提示词工程》非官方版中英双语字幕 Unofficial subtitles of "ChatGPT Prompt Engineering for Developers"
- [Chatgpt-Promptengineering](https://github.com/ajinkyalahade/ChatGPT-PromptEngineering) - This Python script reads an e-book in PDF format, splits the text into prompts, and uses the OpenAI GPT-3 API to generate completions for…
- [Core](https://github.com/zenbase-ai/core) - Prompt engineering, automated.
- [Deeplearningai-Chatgpt-Promptengineering](https://github.com/LazaUK/DeepLearningAI-ChatGPT-PromptEngineering) - Practical Jupyter notebooks from Andrew Ng and Isa Fulford's "ChatGPT Prompt Engineering for Developers" course on DeepLearning.AI.
- [Flow-Prompt](https://github.com/LamoomAI/flow-prompt) - Open source library for production prompt engineering and load balancing of AI Models
- [Generative-Ai-Prompt-Engineering](https://github.com/build-on-aws/generative-ai-prompt-engineering) - Sample code that helps us explore the world of generative AI through prompt engineering. It provides the resources for experimenting with…
- [Get-Things-Done-With-Prompt-Engineering-And-Langchain](https://github.com/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain) - LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading a…
- [Gptstore-Prompts](https://github.com/1003715231/gptstore-prompts) - Here are the Top 100 prompts on GPTStore, which we can use to learn and improve prompt engineering.
- [Hackopenaisystemprompts](https://github.com/circlestarzero/HackOpenAISystemPrompts) - Hack OpenAI LLMs' System Prompts By Reverse Prompt Engineering
- [Langfuse](https://github.com/langfuse/langfuse) - 🪢 Open source LLM engineering platform - LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with Llama…
- [Latitude-Llm](https://github.com/latitude-dev/latitude-llm) - Latitude is the open-source prompt engineering platform to build, evaluate, and refine your prompts with AI
- [Learn-Prompting](https://github.com/MiesnerJacob/learn-prompting) - The most comprehensive prompt engineering course available.
- [Learn_Prompting](https://github.com/trigaten/Learn_Prompting) - Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
- [Learning-Prompt](https://github.com/thinkingjimmy/Learning-Prompt) - Free prompt engineering online course. ChatGPT and Midjourney tutorials are now included!
- [Learnprompt](https://github.com/LearnPrompt/LearnPrompt) - 永久免费开源的 AIGC 课程, 目前已支持Prompt Engineering, ChatGPT, Midjourney, Runway, Stable Diffusion, AI数字人，AI声音&音乐，开源大模型
- [Llm-Prompt-Engineering-Simplified-Book](https://github.com/AkmmusAI/LLM-Prompt-Engineering-Simplified-Book) - LLM Prompting Engineering Simplified Book
- [Obsidian-Ai-Research-Assistant](https://github.com/InterwebAlchemy/obsidian-ai-research-assistant) - Prompt Engineering Research Tool for AI APIs
- [Potpie](https://github.com/potpie-ai/potpie) - Prompt-To-Agent  - Create custom engineering agents for your codebase
- [Prompt-Eng-Interactive-Tutorial](https://github.com/anthropics/prompt-eng-interactive-tutorial) - Anthropic's Interactive Prompt Engineering Tutorial
- [Prompt-Eng-Ollama-Interactive-Tutorial](https://github.com/ivanfioravanti/prompt-eng-ollama-interactive-tutorial) - Ollama's Interactive Prompt Engineering Tutorial
- [Prompt-Engineering](https://github.com/brexhq/prompt-engineering) - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
- [Prompt-Engineering](https://github.com/Pythonation/Prompt-Engineering) - Prompt Engineering Cours in Arabic
- [Prompt-Engineering](https://github.com/5zjk5/prompt-engineering) - prompt 工程项目案例
- [Prompt-Engineering](https://github.com/microsoft/prompt-engineering) - Learn how to use AI models with prompt engineering
- [Prompt-Engineering](https://github.com/imJunaidAfzal/Prompt-Engineering) - Prompt Engineering for Language models (GPT-3, GPT-4, chatGPT) and text-to-image models (Stable Diffusion, Midjourney, Dall-e)
- [Prompt-Engineering-By-Openai](https://github.com/ArslanKAS/Prompt-Engineering-by-OpenAI) - In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful ap…
- [Prompt-Engineering-For-Developers](https://github.com/logan-zou/prompt-engineering-for-developers) - 吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版
- [Prompt-Engineering-For-Everyone-With-Chatgpt-And-Gpt4](https://github.com/PacktPublishing/Prompt-Engineering-for-Everyone-with-ChatGPT-and-GPT4) - Prompt Engineering for Everybody with ChatGPT and GPT4, by Packt Publishing
- [Prompt-Engineering-For-Generative-Ai-Examples](https://github.com/BrightPool/prompt-engineering-for-generative-ai-examples) - the O'Reilley book
- [Prompt-Engineering-For-Instruction-Tuned-Llm](https://github.com/youssefHosni/Prompt-Engineering-for-Instruction-Tuned-LLM) - Various blog posts and youtube posts on prompt engineering
- [Prompt-Engineering-For-Javascript-Developers](https://github.com/dabit3/prompt-engineering-for-javascript-developers) - Notes summarized from ChatGPT Prompt Engineering for Developers by DeepLearning.ai
- [Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) - 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
- [Prompt-Engineering-Guide-Chinese](https://github.com/wangxuqi/Prompt-Engineering-Guide-Chinese) - Prompt工程师指南，源自英文版，但增加了AIGC的prompt部分，为了降低同学们的学习门槛，翻译更新
- [Prompt-Engineering-Guide-Cn](https://github.com/prompting-work/Prompt-Engineering-Guide-Cn) - 关于提示工程的技术文章汇总和翻译
- [Prompt-Engineering-Guide-Zh-Cn](https://github.com/yunwei37/Prompt-Engineering-Guide-zh-CN) - 🐙 关于提示词工程（prompt）的指南、论文、讲座、笔记本和资源大全（自动持续更新）
- [Prompt-Engineering-Holy-Grail](https://github.com/zacfrulloni/Prompt-Engineering-Holy-Grail) - # Prompt Engineering Hub ⭐️ If you find this helpful, give it a star to show your support! This repository is a one-stop resource for prompt
- [Prompt-Engineering-Mastery](https://github.com/nerority/Prompt-Engineering-Mastery) - many prompt engineering resources
- [Prompt-Engineering-Note](https://github.com/isLinXu/prompt-engineering-note) - 🔥🔔prompt-engineering-note🔔🔥
- [Prompt-Engineering-Notebook](https://github.com/madroidmaq/prompt-engineering-notebook) - ChatGPT Prompt Engineering for Developers Jupyter Notebook. 《给开发者的 ChatGPT 提示工程》学习笔记。 #ChatGPT #Prompt #Prompts #Prompt-Engineering #Prompts
- [Prompt-Engineering-Toolkit](https://github.com/teknium1/Prompt-Engineering-Toolkit) - The Prompt Engineering Tool is a web-based application designed to help users experiment with and optimize prompts for various large language models (LLMs)
- [Prompt-Engineering-Tutior](https://github.com/ConnectAI-E/Prompt-Engineering-Tutior) - 🎡 Pompt 提示词工程师入门指南 ~视频字幕+代码资料 [( Python、Golang、NodeJs ) x ( 中文、英文 )]
- [Prompt-Engineering-With-Anthropic-Claude-V-3](https://github.com/aws-samples/prompt-engineering-with-anthropic-claude-v-3) - This course is intended to provide you with a comprehensive step-by-step understanding of how to engineer optimal prompts within Claude, using Bedrock.
- [Prompt-Enhancer](https://github.com/lim-hyo-jeong/Prompt-Enhancer) - Prompt Engineering at Your Fingertips!
- [Prompt-Hacker-Collections](https://github.com/yunwei37/prompt-hacker-collections) - prompt attack-defense, prompt Injection, reverse engineering notes and examples | 提示词对抗、破解例子与笔记
- [Prompt-In-Context-Learning](https://github.com/EgoAlpha/prompt-in-context-learning) - Awesome resources for in-context learning and prompt engineering - Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date…
- [Prompt_Engineering](https://github.com/NirDiamant/Prompt_Engineering) - This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundam…
- [Promptbase](https://github.com/microsoft/promptbase) - All things prompt engineering
- [Promptbreeder](https://github.com/vaughanlove/PromptBreeder) - Google Deepmind's PromptBreeder for automated prompt engineering implemented in langchain expression language.
- [Promptengineering](https://github.com/MrGladiator14/PromptEngineering) - Prompt Engineering Toolkit
- [Promptengineering](https://github.com/divyeshpatel83/PromptEngineering) - Sample prompts - PromptEngineering
- [Promptengineering](https://github.com/bskim/PromptEngineering) - Promport Engineering Best practices for LLM
- [Promptengineering](https://github.com/DaleStewart/PromptEngineering) - A repository for Generative AI prompt's I've engineered
- [Promptengineering4Devs](https://github.com/yandex-datasphere/PromptEngineering4Devs) - Prompt Engineering for Developers
- [Promptengineeringwithdalle](https://github.com/jennifermarsman/PromptEngineeringWithDalle) - Learn prompt engineering by iterating over image prompts with the DALL-E model.
- [Promptgpt](https://github.com/howard9192/Promptgpt) - PromptGPT is an opensource framework that enables users to automatically generate high-quality prompts with zero installations, coding ne…
- [Promptify](https://github.com/promptslab/Promptify) - Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engin…
- [Promptimize](https://github.com/preset-io/promptimize) - Promptimize is a prompt engineering evaluation and testing toolkit.
- [Promptpet](https://github.com/hamutama/PromptPET) - PromptPET - A comprehensive toolkit for Prompt Engineering, offering advanced tools for crafting, refining, and optimizing prompts and flow …
- [Sammo](https://github.com/microsoft/sammo) - A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)
- [Software-Dev-Prompt-Library](https://github.com/codingthefuturewithai/software-dev-prompt-library) - Prompt library containing tested reusable gen AI prompts for common software engineering task
- [Story-Prompt](https://github.com/CommonPaper/story-prompt) - Challenge project for engineering candidates
- [Tanuki.Py](https://github.com/Tanuki/tanuki.py) - Prompt engineering for developers
- [The-Art-Of-Asking-Chatgpt-For-High-Quality-Answers-A-Complete-Guide-To-Prompt-Engineering-Technique](https://github.com/ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique) - ChatGPT提问技巧
- [Udemy-Prompt-Engineering-Course](https://github.com/BrightPool/udemy-prompt-engineering-course) - Content for the Udemy Prompt Engineering Course
- [Yival](https://github.com/YiVal/YiVal) - Your Automatic Prompt Engineering Assistant for GenAI Applications

### Security
- [Aip-Identity](https://github.com/the-nexus-guard/aip) - Agent Identity Protocol (AIP) provides cryptographic identity (Ed25519/DID), vouch-based trust graphs, and end-to-end encrypted messaging for AI agents. CLI and Python SDK available on PyPI (`pip install aip-identity`) [github](https://github.com/the-nexus-guard/aip) | [website](https://the-nexus-guard.github.io/aip/) | [docs](https://aip-service.fly.dev/docs)
- [Agent-Repoguardian](https://github.com/flexigpt/agent-repoguardian) - An AI agent that does security scans and vulnerability analysis of code
- [Agentic_Security](https://github.com/msoedov/agentic_security) - Agentic LLM Vulnerability Scanner / AI red teaming kit
- [Agentictrust](https://github.com/lab101-ai/agentictrust) - Observability, DevTool and Security Platfrom for AI Agents
- [Agentos](https://github.com/The-Swarm-Corporation/AgentOS) - AgentOS implements a comprehensive security architecture leveraging containerization, orchestration, and multi-layer isolation to ensure …
- [AgentShield](https://github.com/elliotllliu/agent-shield) - Open-source security scanner for AI agent skills, MCP servers, and plugins. 30 rules, AST analysis, cross-file tracking, 5-dimension scoring. Zero install, 100% offline, MIT licensed. [github](https://github.com/elliotllliu/agent-shield) | [npm](https://www.npmjs.com/package/@elliotllliu/agent-shield)
- [Agriaid](https://github.com/shamspias/AgriAid) - AgriAid is an AI-powered tool for farmers & agricultural agents in Bangladesh, offering plant disease forecasting & identification. Using…
- [Ai-Agent](https://github.com/ZielBox/ai-agent) - Performs various AI enabled actions and specialized in security management.
- [Ai-Agent-Security](https://github.com/SecurityLab-UCD/ai-agent-security) - This repository contains source code for the demos and attacks we present in our paper Security of AI Agents.
- [Ai-Agent-Solving-Security-Challenges](https://github.com/theowni/AI-Agent-Solving-Security-Challenges) - No description available
- [Ai-Agent-Wallet](https://github.com/0xcrypto2024/ai-agent-wallet) - This framework provides a secure, headless wallet solution designed for integration with frontend applications. It prioritizes security b…
- [Ai-Powered-Security-Agent](https://github.com/AIBotTeachesAI/AI-Powered-Security-Agent) - No description available
- [Ai-Security-Demos](https://github.com/shaialon/ai-security-demos) - 🤯 AI Security EXPOSED! Live Demos Showing Hidden Risks of 🤖 Agentic AI Flows: 💉Prompt Injection, ☣️ Data Poisoning. Watch the recorded se…
- [Ai_Buddy_Guard](https://github.com/gpsandhu23/ai_buddy_guard) - Prototype AI agent to test how well AI can help us find and fix security problems
- [Ai_Security_Agent](https://github.com/SoumilB7/AI_Security_Agent) - Freelance Project with Armur AI
- [Airmageddon](https://github.com/RamonBeast/airmageddon) - AIrmageddon is a home security AI Agent
- [Airportagentsimulation-Security](https://github.com/Jogrohe/AirportAgentSimulation-Security) - No description available
- [Awesome_Gpt_Super_Prompting](https://github.com/CyberAlbSecOP/Awesome_GPT_Super_Prompting) - ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai
- [Cartlis](https://github.com/Theneo-Inc/Cartlis) - The AI-Powered API Governance Agent enforces rules in real-time, seamlessly integrating with infrastructures and auto-patching violations…
- [Cognitive-Security-Ai-Powered-Threat-Agent-Evaluation-For-Impact-On-Assets.](https://github.com/Gauravsbin/Cognitive-Security-AI-Powered-Threat-Agent-Evaluation-for-Impact-on-Assets.) - No description available
- [Council-Of-Ai](https://github.com/seanpixel/council-of-ai) - Security measure for agentic LLMs using a council of AIs moderted by a veto system. The council judges an agent's actions outputs based o…
- [Cyber-Security-Llm-Agents](https://github.com/NVISOsecurity/cyber-security-llm-agents) - A collection of agents that use Large Language Models (LLMs) to perform tasks common on our day to day jobs in cyber security.
- [Db-Gpt](https://github.com/eosphoros-ai/DB-GPT) - AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
- [Eng-Security-Review-Agent](https://github.com/lume-cory/eng-security-review-agent) - AI agentic app that helps security teams respond to security questions and security reviews from engineering
- [Fast-Llm-Security-Guardrails](https://github.com/ZenGuard-AI/fast-llm-security-guardrails) - The fastest && easiest LLM security guardrails for AI Agents and applications.
- [Fetchai](https://github.com/Harshpreetkaur98/FetchAI) - uAgents is a Python library by Fetch.ai for creating autonomous AI agents. It supports easy agent management, blockchain connectivity, an…
- [Hauth](https://github.com/vaniiiii/hAUTH) - hAUTH is a security middleware solution that provides human oversight for AI agents.
- [Invariant](https://github.com/invariantlabs-ai/invariant) - Helps you build better AI agents through debuggable unit testing
- [Kevlar-Anti-Leak-System-Prompts](https://github.com/CyberAlbSecOP/KEVLAR-Anti-Leak-System-Prompts) - Bullet-proof your custom GPT system prompt security with KEVLAR, the ultimate prompt protector against rules extraction, prompt injection…
- [Linux-Security-Agent](https://github.com/microaisecurity/linux-security-agent) - Micro AI security agent
- [Llm_Agents_Security](https://github.com/johnny22245/llm_agents_security) - This LLM agents deals with establishing AI security and safety.
- [Minotaur_Impossible_Gpt_Security_Challenge](https://github.com/CyberAlbSecOP/MINOTAUR_Impossible_GPT_Security_Challenge) - MINOTAUR: The STRONGEST Secure Prompt EVER! Prompt Security Challenge, Impossible GPT Security, Prompts Cybersecurity, Prompting Vulnerab…
- [OneCLI](https://github.com/onecli/onecli) - Open-source credential vault for AI agents. A Rust HTTP gateway intercepts agent requests and injects API credentials transparently, so agents never handle raw keys.
- [Moa-Groq-Langchain-Securityspecialist](https://github.com/TheJ-Erk400/moa-groq-langchain-securityspecialist) - Mixture-of-Agents using Groq This Streamlit
- [Multi-Agent-Secops-Llm](https://github.com/tegridydev/multi-agent-secops-llm) - This project is a multi-agent security framework that utilizes multiple LLM models to analyze and generate comprehensive security briefs.
- [Multi-Ai-Agents](https://github.com/erndck/Multi-AI-Agents) - The Multi-AI Agent is a groundbreaking integration of artificial intelligence and blockchain technology, designed to provide unparalleled…
- [Netsecgame](https://github.com/stratosphereips/NetSecGame) - An environment simulation for networks security tasks for development and testing AI based agents. Part of AI Dojo project
- [Owasp-Agentic-Ai](https://github.com/precize/OWASP-Agentic-AI) - OWASP Top 10 for Agentic AI (AI Agent Security) - Pre-release version
- [PolicyLayer](https://github.com/PolicyLayer/PolicyLayer) - Non-custodial spending controls for AI agents with crypto wallets. Enforces daily spending limits, per-transaction caps, recipient whitelists, and rate limiting without holding private keys. Prevents wallet drains from bugs, prompt injection, or infinite loops. [website](https://policylayer.com) | [npm](https://www.npmjs.com/package/@policylayer/sdk)
- [Rgs](https://github.com/MangelZabalaDevelop/RGS) - Report Generative Security Tool developed for the Generative AI Agents Developer Contest organized by NVIDIA and LangChain.
- [Secad](https://github.com/gideonaina/secad) - SECAD is an agentic, AI-powered security workflow augmentation application.
- [Security-Ai-Agent-Brama](https://github.com/oborys/security-ai-agent-brama) - No description available
- [Sim-Security-Data](https://github.com/Sim-Security/Sim-Security-Data) - Where I collect and process data for AI agents
- [Vulert](https://vulert.com) - Vulert secures software by detecting vulnerabilities in open-source dependencies—without accessing your code. It supports Js, PHP, Java, Python, and more
- [Web_Scrape_Agent_Ai](https://github.com/rxslice/Web_Scrape_Agent_AI) - Enterprise-Quality Autonomous Agent complete with relevant tools, master prompt, additional optional AI services, API compatible, basic s…

### Testing
- [EvoAgentX](https://github.com/EvoAgentX/EvoAgentX) - EvoAgentX is building a Self-Evolving Ecosystem of AI Agents, it will give you automated framework for evaluating and evolving agentic workflows. [github](https://github.com/EvoAgentX/EvoAgentX)
- [Open-RAG-Eval](https://github.com/vectara/open-rag-eval) - an open source RAG evaluation framework that does not require golden answers, and can be used to evaluate performance of RAG tools connected to an AI Agent (Agentic RAG). [github](https://github.com/vectara/open-rag-eval)
- [Voice Lab](https://github.com/saharmor/voice-lab) - A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas. [github](https://github.com/saharmor/voice-lab)
- [Ab-Agent](https://github.com/bassimeledath/ab-agent) - AI Agents automating A/B test design and inference
- [Adtestpro](https://github.com/AnanyaP-WDW/AdTestPro) - Open Source Tool To Preemptively Test Ad Creatives Against Synthetic Target Audiences
- [Agent-Ai-Test](https://github.com/Praagnya/agent-ai-test) - Testing finance agent
- [Agent-Evaluation](https://github.com/awslabs/agent-evaluation) - A generative AI-powered framework for testing virtual agents.
- [Agent-Smith-E2E-Test](https://github.com/dangoddard-trilogy/agent-smith-e2e-test) - AI-powered E2E testing tool
- [Agent-Solarpanels-Tutorial](https://github.com/Pairrot-Lore/agent-solarpanels-tutorial) - This repository contains an AI agent built with LangGraph to calculate energy savings for solar panels. The project is designed for use w…
- [Agentacc-Batch-Test](https://github.com/Hehua-Fan/AgentAcc-Batch-Test) - A application to test the AI agent accuracy, powered by Streamlit
- [Agentai_Testing_Repo](https://github.com/SUGUMAR-S/agentAI_testing_repo) - it used for testing purpose
- [Agentic-Platform](https://github.com/bonk1t/agentic-platform) - AI Agent Automation Platform: Rapidly prototype, test, and deploy Multi-Agent Systems from your browser.
- [Agentic.Md](https://github.com/ai-primitives/agentic.md) - Build, Test, Deploy, & Iterate on AI Agents using Markdown & MDX
- [Agents](https://github.com/culurciello/agents) - A collection of AI agents to test AI capabilities, and to be used as tutorials and demonstrations
- [Ai-Agency](https://github.com/Garcluca/AI-Agency) - Testing Bed for AI Agents and Orchestration
- [Ai-Agent-Design-For-Iq-Tests](https://github.com/tex216/AI-Agent-Design-for-IQ-Tests) - Designed an AI agent to pass Raven’s Progressive Matrices tests, details see the Final-Project-Report.
- [Ai-Agent-Lab](https://github.com/Zeeshan138063/ai-agent-lab) - AI Agent Lab: An open-source repository to build, test, and deploy AI agents using Python, with examples and modular design.
- [Ai-Agent-Playground](https://github.com/Wei1024/AI-Agent-Playground) - test repo to develop an AI agent framework for office workers
- [Ai-Agent-Teams](https://github.com/AdamHHart/AI-Agent-Teams) - A playground for testing deiffent AI Agent Teams with AutoGen, CrewAI, and Langchain
- [Ai-Agent-Test](https://github.com/bjoernzosel/ai-agent-test) - An AI-generated portfolio website for a freelance web designer
- [Ai-Agent-Test](https://github.com/sfelkner/ai-agent-test) - A test repository for AI agent interactions
- [Ai-Agents-Tool-Dev](https://github.com/aydinfer/ai-agents-tool-dev) - Multi-agent AI development system for automated tool creation and testing
- [Ai-Api-Testing](https://github.com/CarlosVecina/ai-api-testing) - 🐦AI test generator for APIs and agentic workflows
- [Ai-Code-Gen](https://github.com/Farelart/Ai-code-gen) - An ai agent to generate python unit test
- [Ai-Dev-Agent-Test](https://github.com/eventstubsol/ai-dev-agent-test) - A test repository created by AI Dev Agent
- [Ai-Gpt-Agent](https://github.com/pedrogritter/ai-gpt-agent) - A simple agent to test OpenAI's GPT API
- [Ai-Pacman-Classification](https://github.com/AmzAust/AI-Pacman-Classification) - In this project, you will design three classifiers: a perceptron classifier, a large-margin (MIRA) classifier, and a slightly modified pe…
- [Ai-Project-Plannerenvironment](https://github.com/MircoT/AI-Project-PlannerEnvironment) - An environment to test a planner agent, created for a college course.
- [Ai-Project-Vacuumenvironment](https://github.com/MircoT/AI-Project-VacuumEnvironment) - An environment to test a vacuum agent, created for a college course.
- [Ai-Reinforcement-Learning](https://github.com/abhinavcreed13/ai-reinforcement-learning) - This project will implement value iteration and Q-learning. It will first test agents on Gridworld (from class), then apply them to a sim…
- [Ai-Smartclassroom](https://github.com/adv-11/AI-SmartClassroom) - Undergrad Final Year Project. A step up from Google Classroom by integrating Agentic AI, RAG, Reinforcement Learning and advance concepts…
- [Ai-Testing-Agent](https://github.com/furudo-erika/ai-testing-agent) - AI Testing Agent: Open Source AI Agent for Software Testing
- [Ai-Wallet-Agent-Test](https://github.com/vish2396/AI-wallet-agent-test) - Sample Ai wallet agent using coinbase sdk
- [Ai_Agent](https://github.com/IbrahimaBailoDIALLO/AI_Agent) - I will put all ai agent on this repos when i finish to develop and test it
- [Ai_Agent_Computer_Vision](https://github.com/SamTaubman/AI_Agent_Computer_Vision) - AI Agent designed to solve Raven's Progressive Matrices IQ Test
- [Ai_Agent_Crewai](https://github.com/Ronin-117/Ai_Agent_CrewAI) - testing CrewAI
- [Ai_Apps](https://github.com/huneyk/AI_Apps) - AI Agent Test with CrewAI framework
- [Ai_Brainstorming_Team_Agents](https://github.com/jkalonji/AI_Brainstorming_Team_Agents) - Test your ideas by consulting a series of experts
- [Ai_Buddy_Guard](https://github.com/gpsandhu23/ai_buddy_guard) - Prototype AI agent to test how well AI can help us find and fix security problems
- [Ai_Devs3](https://github.com/bgrzywinski/ai_devs3) - agent building, prompts testing, task solutions
- [Ai_Tools](https://github.com/chineseflava/AI_tools) - Testing AI tools and building agents.
- [Aiagents_Test](https://github.com/prad-human-007/AIAgents_test) - Test Playground for AI agents
- [Aiconversationflow](https://github.com/TonySimonovsky/AIConversationFlow) - AI Conversation Flow provides a framework to create anti-agents to build complex non-linear LLM conversation flows, that are composable, …
- [Aigent](https://github.com/automators-com/aigent) - Generate tests for you application using an autonomous AI agent
- [Ailoveragent](https://github.com/caizhuoyue77/AILoverAgent) - Some testing for AILover's agent implementation.
- [Aimultiagents](https://github.com/hesamjafarian/AiMultiAgents) - This is a repository for testing ai algorithms using game simulation. It is used for python 2.7
- [Aiq-Poa](https://github.com/xvado00/AIQ-POA) - Policy Optimisation Agents module fort the AIQ Test
- [Amazon-Bedrock-Agent-Test-Ui](https://github.com/acwwat/amazon-bedrock-agent-test-ui) - A generic Streamlit UI for testing generative AI agents built using Agents for Amazon Bedrock
- [Anythingllm_Agentsample](https://github.com/stoneskin/AnythingLLM_AgentSample) - test the AnythignLLM custom agent
- [Api-Ai-Agent-Test](https://github.com/texascloud/api-ai-agent-test) - This is where all my commits for two pickle files will live to serve as an example of submodule usage for api-ai-versioning tool.
- [Attendone](https://github.com/mariamkhaled99/attendone) - ai generted agent test 1
- [Auto-Dev](https://github.com/unit-mesh/auto-dev) - 🧙‍AutoDev: The AI-powered coding wizard（AI 驱动编程助手）with multilingual support 🌐, auto code generation 🏗️, and a helpful bug-slaying assista…
- [Autogen-And-Crewai-Agenttests](https://github.com/TMJ97/AutoGen-and-CrewAI-AgentTests) - No description available
- [Autonoma](https://github.com/Sebasbo/Autonoma) - Autonoma: Agentic AI-powered framework for autonomous code modification, analysis, and testing, streamlining software development workflo…
- [Autospec](https://github.com/zachblume/autospec) - Autospec is an open-source AI agent that takes a web app URL and autonomously QAs it, and saves its passing specs as E2E test code
- [B4-Agent-Test-06](https://github.com/b4ke/b4-agent-test-06) - b4-agent-test-06: cloudflare ai tool test
- [Backtesteragent](https://github.com/The-Swarm-Corporation/BackTesterAgent) - An enterprise-grade AI-powered backtesting framework built on the Swarms framework for automated trading strategy validation and optimiza…
- [Baseline-Agent](https://github.com/Bloodrock-AI/baseline-agent) - This is a simple AI Agent used to test the Bloodrock CORE Benchmark.
- [Botsharp-Ui](https://github.com/SciSharp/BotSharp-UI) - Build, test and manage your AI Agents in the central place.
- [Card_Games_For_Mcts-Ann_Ai](https://github.com/symbol-zy/Card_Games_for_MCTS-ANN_AI) - A simpified version of card game like bridge, made for testing MCTS+ANN Agents.
- [Chat_Agent](https://github.com/YangShyrMing/Chat_Agent) - ... knowledge and intelligence of a human. Now this should pass the turning test of AI i.e. we all know an AI is the best if it can pass …
- [Claude-Html-Test](https://github.com/SivaramAdi/claude-html-test) - A repository showcasing information about AI Agents
- [Connect4_Ai](https://github.com/cumason123/connect4_ai) - Testing various agents against each other
- [Crew-News](https://github.com/rokbenko/crew-news) - CrewNews is an AI news generator that delivers an unbiased version of the news for a given topic, using Streamlit for the GUI, Llama 3.1 …
- [Crewai](https://github.com/SkatAI/crewai) - Sandbox testing crewai AI Agents
- [Crewai-101](https://github.com/Reyzenello/CrewAI-101) - Testing around framework using multi-agent
- [Crewai-Test](https://github.com/Buddog/CrewAI-Test) - Multi Agent AI Test
- [Crewaiknowledgetest](https://github.com/NanGePlus/CrewAIKnowledgeTest) - CrewAI新版本支持使用Knowledge属性将txt、PDF、CSV、Excel、JSON等多种数据格式内容及多文件混合作为知识增强知识库提供给Crew中的Agent使用
- [De-Bench](https://github.com/ArdentAI1/DE-Bench) - DE Bench: Can Agents Solve Real-World Data Engineering Problems? Built to test Ardent's AI Data Engineer
- [Debugai](https://github.com/Open-IDE/DebugAI) - An A.I. Agent that assists in Testing & Debugging!
- [Dev-Swarm](https://github.com/kyegomez/dev-swarm) - A swarm of LLM agents that will help you test, document, and productionize your code!
- [Dravid](https://github.com/vysakh0/dravid) - AI powered cli coding agent that monitors your dev/test server and fixes errors and adds features
- [Explorer](https://github.com/invariantlabs-ai/explorer) - A better way of testing, inspecting, and analyzing AI Agent traces.
- [Frontend-Agent](https://github.com/qodex-ai/frontend-agent) - Open-Source AI-Powered QA Tool for Automated UI Testing and Navigation.
- [Generative_Ai](https://github.com/gabrielpreda/generative_ai) - Kaggle Notebooks, Utility Scripts using Generative AI tools to check new models, fine tune models, test with various prompts, create Retr…
- [Goingbig](https://github.com/tshurden16/goingbig) - Test AI Agent
- [Hacksynth](https://github.com/aielte-research/HackSynth) - LLM Agent and Evaluation Framework for Autonomous Penetration Testing
- [Health-Ai](https://github.com/sj-data/health-ai) - Testing grounds for health ai agent
- [Incredible.Dev](https://github.com/IncredibleDevHQ/Incredible.dev) - Incredible.dev is an AI Coding Co-worker which can code, fix, document, deploy, test your APIs. One agent to rule everything API.
- [Instrukt](https://github.com/blob42/Instrukt) - Integrated AI environment in the terminal. Build, test and instruct agents.
- [Intelligent-Agent](https://github.com/balaaagi/Intelligent-Agent) - This repository contains an AI agent that can pass a human intelligence test.
- [Intelligent-Agent](https://github.com/roterdam/Intelligent-Agent) - This repository contains an AI agent that can pass a human intelligence test.
- [Invariant](https://github.com/invariantlabs-ai/invariant) - Helps you build better AI agents through debuggable unit testing
- [Java-Ai-Sbus-Test](https://github.com/abhikt48/java-ai-sbus-test) - Codeless Agent test with Azure ServiceBus
- [Jest-Ai](https://github.com/dreamcatcher-tech/jest-ai) - AI Agent testing suites
- [Langchaintest](https://github.com/JohnBreth/LangChainTest) - AI Agents in LangGraph Course
- [Mario-Playability-Test](https://github.com/zhihanyang2022/mario-playability-test) - Run a simple agent through user-defined super-mario chunks and determine the playability proportion.
- [Mazerunner](https://github.com/CollinsEM/MazeRunner) - Framework for testing AI agents
- [Mb-Nothing](https://github.com/0xAsten/mb-nothing) - Testing with Cartridge Controller and AI Agent.
- [Mcts-Agent-Cythonized](https://github.com/masouduut94/MCTS-agent-cythonized) - MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…
- [Mcts-Agent-Python](https://github.com/masouduut94/MCTS-agent-python) - Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…
- [Megaminer-Tinyarena](https://github.com/drusepth/Megaminer-Tinyarena) - A tiny arena for testing Megaminer AI agents
- [Metasploit-Gym](https://github.com/phreakAI/metasploit-gym) - An environment for testing AI agents against networks using Metasploit.
- [Multiagentworkflow](https://github.com/zachnoel/multiAgentWorkflow) - A sample Multi AI agent workflow for testing out AI agent frameworks
- [Multiagentworkflow](https://github.com/drewbloom/multiAgentWorkflow) - Testing multiagent AI flows for CRUD, search, and document construction from databases
- [N8Ntest](https://github.com/habib-049/n8nTest) - This repo is for testing n8n AI agent
- [Netsecgame](https://github.com/stratosphereips/NetSecGame) - An environment simulation for networks security tasks for development and testing AI based agents. Part of AI Dojo project
- [Networkattacksimulator](https://github.com/Jjschwartz/NetworkAttackSimulator) - An environment for testing AI pentesting agents against a simulated network.
- [Nexus](https://github.com/cxbxmxcx/Nexus) - AI Agent Nexus is an open-source platform for developing, testing, and hosting AI Agents, built with Streamlit and Gradio. It offers a us…
- [O1_Agent_Test](https://github.com/alexmoses/o1_Agent_Test) - Building a multi-agent AI program
- [Orchestrai](https://github.com/samshapley/OrchestrAI) - A framework for building and testing custom autonomous agents.
- [Othello-Fx](https://github.com/EudyContreras/Othello-FX) - Othello game framework made with JavaFX which can be use for testing Othello AI Agents.
- [Pentesting-Ai](https://github.com/Lstalet04/Pentesting-AI) - Multi agent penetration testing AI
- [Phoenix](https://github.com/Arize-ai/phoenix) - Open source tool for testing changes in AI agent or application
- [Pydantic-AI](https://github.com/pydantic/pydantic-ai) - Agent framework / shim to use Pydantic with LLMs, useful for ensuring LLM inputs/outputs have type safety [github](https://github.com/pydantic/pydantic-ai) | [docs](https://ai.pydantic.dev/)
- [Plark_Ai_Public](https://github.com/montvieux/plark_ai_public) - ... provide a basis for more extensive, long-term, and cutting edge research. The test bed can be used as a basis to research the limits of
- [Rag-System](https://github.com/thetom42/rag-system) - Test Project with Replit AI Agent
- [Raven-Test-Ai](https://github.com/dhurng/Raven-Test-AI) - An AI agent that can solve Raven Tests, visual iq tests
- [Reverse_Turing_Test](https://github.com/nicomanzonelli/reverse_turing_test) - Can you outsmart the LLM-based AI agents?
- [Ricai_Unittestgen_Tool](https://github.com/AutoDevTestAgent/ricai_unittestgen_tool) - (lablab.ai Autonomous Agents 2023 hackathon) RicAI unit test generation tool
- [Rlerewolf](https://github.com/GeorgeVelikov/RLereWolf) - A framework for playing Werewolf & developing and testing AI agents for Werewolf.
- [Rpm-Ai-Agent](https://github.com/teldridge11/RPM-AI-Agent) - AI Agent for solving Raven's Progressive Matrices as a test of general intelligence
- [Rpm-Ai-Agent](https://github.com/horkays/RPM-AI-Agent) - An AI agent designed to solve the Raven's Progressive Matrices human intelligence tests, written in Python
- [Sam](https://github.com/vishalmysore/sam) - Autonomous Agent or Large Action Model Implementation in Java. Selenium and AI integration, AI based validations for tests. UI Validation…
- [Snakeai-Test](https://github.com/maxolib/SnakeAI-Test) - AI learning game using ML-agents for Unity
- [Stock_Forecast_Ai_Agent](https://github.com/john2408/stock_forecast_ai_agent) - This is a small app to test the AI Agents functionallity for forecasting purposes. Mainly focusing on function calling.
- [Swarmgo](https://github.com/prathyushnallamothu/swarmgo) - SwarmGo is a Go package that allows you to create AI agents capable of interacting, coordinating, and executing tasks. Inspired by OpenAI…
- [Tago](https://github.com/TwilledWave/Tago) - Langchain agent test platform / AI Assistant Tago
- [Test-Agent](https://github.com/GDT502/Test-Agent) - Developing AI tools for testing
- [Test-Ai-Agent-Ideas](https://github.com/AbhiPat123/test-ai-agent-Ideas) - A small palyground to test free models - maybe will look into using paid ones later
- [Testai](https://github.com/dhiraj-inti/TestAI) - An agentic AI application to automate the testsuite creation, execution and reporting
- [Testai-Agent](https://github.com/khanzzirfan/TestAI-Agent) - write a test ai agent to write automated tests on PR requests
- [Testdriverai](https://github.com/testdriverai/testdriverai) - Next generation autonomous AI agent for end-to-end testing of web & desktop
- [Testzeus-Hercules](https://github.com/test-zeus-ai/testzeus-hercules) - Welcome to Hercules, the world's first open-source testing agent that's here to lift your testing burdens with the strength of a mytholog…
- [Theagentsgameai](https://github.com/ZelunGlenn/TheAgentsGameAI) - AI testing system for The Agents Game logic, using decision tree.
- [Tic-Tac-Toe](https://github.com/OmerCinal/Tic-Tac-Toe) - Search and AI algorithms testing game. Big Tic Tac Toe
- [Travel_Agent](https://github.com/gowthaml15/travel_agent) - This repo is for testing crew_ai and trying a travel agent usecase
- [Vacuum-Agents](https://github.com/hholb/vacuum-agents) - A Simulated Robot Vaccuum for testing different AI algorithms.
- [Vercel_Ai_Test](https://github.com/pixelknit/vercel_ai_test) - Test for webgl ai agent
- [Vital-Chat-Ui-Streamlit](https://github.com/vital-ai/vital-chat-ui-streamlit) - Part of the Vital Agent Ecosystem, Simple UI for Testing Agents
- [Voice_Agent](https://github.com/drhammed/voice_agent) - Test app for the AI Voice Agent Project
- [Voxprobe](https://github.com/voxos-ai/voxprobe) - A python package for automated testing and evaluation for voice ai agents
- [Walking-Ai](https://github.com/AleCamara/walking-ai) - Test to make an AI walk using Unity ML-Agents plugin.
- [Webtestagenticai](https://github.com/tvalentius/WebTestAgenticAI) - Web test Agent AI
- [Whiteboxing-Unitymlagents](https://github.com/ActiveNick/Whiteboxing-UnityMLAgents) - Experimental testbed where I test various Machine Learning & AI concepts using Unity ML Agents.
- [Windowsagentarena](https://github.com/microsoft/WindowsAgentArena) - Windows Agent Arena (WAA) 🪟 is a scalable OS platform for testing and benchmarking of multi-modal AI agents.
- [Worldai](https://github.com/nschaetti/WorldAI) - World AI is a simulator designed for research purposes. It can be used to simulate worlds, logical and ethical problems for AI agents 


### Tools
- [Cortex](https://github.com/SKULLFIRE07/cortex-memory) - Persistent AI memory for coding assistants. Auto-captures decisions, patterns, and context across sessions. VSCode extension + CLI + MCP server. Free.
- [3Gpp-Requirements-Tools](https://github.com/Adrian2901/3gpp-requirements-tools) - Tools for retrieving 3GPP standards and LLM-powered requirement elicitiation.
- [Acm](https://github.com/dnanhkhoa/acm) - A dead-simple AI-powered CLI tool for effortlessly crafting meaningful Git commit messages
- [Agent-Manager-Skill](https://github.com/fractalmind-ai/agent-manager-skill) - tmux + Python agent lifecycle manager for running multiple CLI AI agents (start/stop/monitor/assign) with cron-friendly scheduling.
- [Acte](https://github.com/j66n/acte) - A framework to build GUI-like Agent Tools, enhancement to Function Calling of LLM AI.
- [Agentcloud](https://github.com/rnadigital/agentcloud) - Agent Cloud is like having your own GPT builder with a bunch extra goodies. The GUI features 1) RAG pipeline which can natively embed 260…
- [Agentgpt-Llm-Tools](https://github.com/GautamSharda/AgentGPT-LLM-Tools) - AgentGPT allows you to configure and deploy Autonomous AI agents. Name your own custom AI and have it embark on any goal imaginable
- [Agentguard](https://github.com/bmdhodl/agent47) - Zero-dependency runtime guardrails for AI agents with loop detection, budget enforcement, cost tracking, and deterministic replay. [github](https://github.com/bmdhodl/agent47) | [pypi](https://pypi.org/project/agentguard47/)
- [Agentools](https://github.com/JoongWonSeo/agentools) - Essentials for LLM-based assistants and agents using OpenAI and function tools
- [AgentWatch](https://github.com/nicofains1/agentwatch) - Multi-agent observability library with cascade failure detection, heartbeat-based liveness monitoring, cross-agent correlation, and forensic replay. Provides fleet-level monitoring above per-agent tracing tools [github](https://github.com/nicofains1/agentwatch) | [npm](https://www.npmjs.com/package/@nicofains1/agentwatch)
- [Ai-Agents-Directory](https://github.com/0xmetaschool/AI-Agents-Directory) - Find and get started with the best AI Agents and AI Automation tools on the Internet. Start building your own AI Agents powered workforce…
- [Ai-Anime-Art-Generator](https://github.com/enterwiz/ai-anime-art-generator) - AI-driven cutting-edge tool for anime arts creation, perfect for beginners to easily create stunning anime art without any prior experience.
- [AI Conference Deadline](https://aiconferenceddl.com) - A tracker for AI/ML conference submission deadlines, helping researchers track major CFPs, access official conference websites, and plan submissions without accounts or setup [website](https://aiconferenceddl.com)
- [Ai-Game-Devtools](https://github.com/Yuan-ManX/ai-game-devtools) - Here we will keep track of the latest AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, An…
- [Ai.At](https://github.com/blue-codes-yep/AI.AT) - AI-Powered Text-To-Speech Video Generator This web application uses AI to generate captivating and informative video scripts based on use…
- [Aidialer](https://github.com/akiani/aidialer) - A full stack app for interruptible, low-latency and near-human quality AI phone calls built from stitching LLMs, speech understanding tools…
- [Aitranslate](https://github.com/pmacro/AITranslate) - A tool to translate Xcode xcstrings files using ChatGPT AI/LLM
- [Aivideochat](https://github.com/messingliu/AIVideoChat) - This is an AI video chat tool with anybody (your girlfriend, your idol etc) you want using LLM
- [Aix](https://github.com/projectdiscovery/aix) - AIx is a cli tool to interact with Large Language Models (LLM) APIs.
- [Are-Copilots-Local-Yet](https://github.com/ErikBjare/are-copilots-local-yet) - Are Copilots Local Yet? The frontier of local LLM Copilots for code completion, project generation, shell assistance, and more. Find tools …
- [Arxivrag](https://github.com/phitrann/arXivRAG) - A comprehensive tool designed to enhance the retrieval and generation of academic content from the arXiv database, leveraging advanced Re…
- [Attention-Viewer](https://github.com/wln20/Attention-Viewer) - A tool for visualizing attention-score heatmap in generative LLMs
- [Autogenbook](https://github.com/hooked-on-mas/AutoGenBook) - 🤖 📒 AutoGenBook is a Python-based tool that automatically generates books using LLMs. It creates chapters, sections, and subsections recu…
- [Awesome-Ai-Llms-In-Radiology](https://github.com/openlifescience-ai/Awesome-AI-LLMs-in-Radiology) - A curated list of awesome resources, papers, datasets, and tools related to AI in radiology. This repository aims to provide a comprehens…
- [Awesome-Ai-Sdks](https://github.com/e2b-dev/awesome-ai-sdks) - A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents
- [Awesome-Ai-Tools](https://github.com/eudk/awesome-ai-tools) - 🔴 VERY LARGE AI TOOL LIST! 🔴 Curated list of AI Tools - Updated December 2024
- [Awesome-Aitools](https://github.com/ikaijua/Awesome-AITools) - Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具，欢迎提交issues 或者pull requests
- [Awesome-Langchain](https://github.com/kyrolabs/awesome-langchain) - 😎 Awesome list of tools and projects with the awesome LangChain framework
- [Awesome-Llm-Compression](https://github.com/HuangOwen/Awesome-LLM-Compression) - Awesome LLM compression research papers and tools.
- [Awesome-Llm-Json](https://github.com/imaurer/awesome-llm-json) - Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
- [Awesome-Llm-Os](https://github.com/bilalonur/awesome-llm-os) - A curated list of awesome resources, tools, research papers, and projects related to the concept of Large Language Model Operating Systems (
- [Awesome-Llm-Productization](https://github.com/oscinis-com/Awesome-LLM-Productization) - Awesome-LLM-Productization - a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization
- [Awesome-Llm-Security](https://github.com/corca-ai/awesome-llm-security) - A curation of awesome tools, documents and projects about LLM Security.
- [Awesome-Llm4Security](https://github.com/liu673/Awesome-LLM4Security) - This project aims to consolidate and share high-quality resources and tools across the cybersecurity domain.
- [Awesome-Llm4Tool](https://github.com/OpenGVLab/Awesome-LLM4Tool) - A curated list of the papers, repositories, tutorials, and anythings related to the large language models for tools
- [Awesome-Llmops](https://github.com/tensorchord/Awesome-LLMOps) - An awesome & curated list of best LLMOps tools for developers
- [Awesome-Llmops](https://github.com/InftyAI/Awesome-LLMOps) - 🎉 An awesome & curated list of best LLMOps tools.
- [Awesome-Local-Llm](https://github.com/WaterPistolAI/Awesome-Local-LLM) - A curated list of resources, libraries, tools, and communities for working with Local Large Language Models (LLMs).
- [Awesome-Mlsecops](https://github.com/RiccardoBiosas/awesome-MLSecOps) - A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.
- [Awesome-Rust-Llm](https://github.com/jondot/awesome-rust-llm) - 🦀 A curated list of Rust tools, libraries, and frameworks for working with LLMs, GPT, AI
- [Awesome_Ai_For_Programmers](https://github.com/rodion-m/awesome_ai_for_programmers) - Сборник AI-инструментов, кейсов и всяких других полезностей для программистов
- [Awesomellmapps](https://github.com/Abhishek-yadv/AwesomeLLMApps) - A curated collection of awesome applications and tools that utilize large language models (LLMs) with retrieval-augmented generation (RAG…
- [Bgpt-Mcp](https://github.com/connerlambden/bgpt-mcp) - Hosted MCP server for searching scientific papers with full-text experimental data. SSE + Streamable HTTP. 50 free searches.
- [Blockoli](https://github.com/getAsterisk/blockoli) - Blockoli is a high-performance tool for code indexing, embedding generation and semantic search tool for use with LLMs.
- [Blueprints](https://github.com/sublayerapp/blueprints) - Blueprints is an open-source tool that integrates with your text editor to help you generate code with an LLM based on patterns you alrea…
- [Botsh](https://github.com/jamsocket/botsh) - An LLM-based agent that will install the tools it needs.
- [Brahmasumm-Community-Edition](https://github.com/balajivis/BrahmaSumm-Community-Edition) - BrahmaSumm is an advanced document summarization and visualization tool designed to streamline document management, knowledge base creati…
- [Brokenhill](https://github.com/BishopFox/BrokenHill) - A productionized greedy coordinate gradient (GCG) attack tool for large language models (LLMs)
- [Bubbln_Network-Automation](https://github.com/olasupo/bubbln_network-automation) - An AI-driven network automation tool
- [Ceo-Agentic-Ai-Framework](https://github.com/vortezwohl/CEO-Agentic-AI-Framework) - An ultra-lightweight Agentic AI framework based on the ReAct paradigm, supporting mainstream LLMs and is stronger than Swarm.
- [Chatbot](https://github.com/YidaHu/chatbot) - 基于LLM的聊天机器人，AI Agent的自主智能体，利用Function、Tools、Agent来实现LLM自主工作
- [ChatSpatial](https://github.com/cafferychen777/ChatSpatial) - MCP server enabling spatial transcriptomics analysis via natural language. Integrates 60+ methods for spatial domains, deconvolution, cell communication, and trajectory analysis.
- [Claude-Powered-Study-Assistant](https://github.com/g-hano/Claude-Powered-Study-Assistant) - A study assistant powered by Claude Opus. It provides various tools to assist with different tasks, such as researching,coding,note-takin…
- [Claudesync](https://github.com/jahwag/ClaudeSync) - ClaudeSync is a Python tool that automates the synchronization of local files with Claude.ai Projects
- [Code-Interpreter-Api](https://github.com/leezhuuuuu/Code-Interpreter-Api) - Committed to being the best code interpreter in the world.
- [Comfyui-Llm-Tools](https://github.com/pridkett/ComfyUI-llm-tools) - Helpful nodes for working with LLMs inside of ComfyUI
- [Companion](https://github.com/rapmd73/Companion) - An AI-powered Discord bot blending playful conversation with smart moderation tools, adding charm and order to your server.
- [Conversational-Agent-With-Qa-Tool](https://github.com/CharlesSQ/conversational-agent-with-QA-tool) - A custom chat agent implemented using Langchain, gpt-3.5 and Pinecone. Implements memory management for context, a custom prompt template…
- [Cuesubplot](https://github.com/kleer001/cuesubplot) - procedural ai prompts and results
- [Curategpt](https://github.com/monarch-initiative/curategpt) - LLM-driven curation assist tool
- [Dbt-Llm-Tools](https://github.com/pragunbhutani/dbt-llm-tools) - RAG based LLM chatbot for dbt projects
- [Demogpt](https://github.com/melih-unsal/DemoGPT) - 🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
- [Androidmeda](https://github.com/In3tinct/deobfuscate-android-app) - AI tool to deobfuscate and find any potential vulnerabilities in android apps.
- [Dingo](https://github.com/DataEval/dingo) - Dingo - A Comprehensive Data Quality Evaluation Tool
- [Discovai-Crawl](https://github.com/DiscovAI/DiscovAI-crawl) - 🕷️ DiscovAI Crawl API(🚧 Work in Progress 🚧) - A powerful web scraping solution for AI tools and vector databases. Extract clean HTML, gene…
- [Docgenie](https://github.com/we-festify/docgenie) - Docgenie is a command-line tool that leverages the power of large language models (LLMs) to automatically generate comprehensive document…
- [Draft](https://github.com/quchangle1/DRAFT) - The implementation for the paper - From Exploration to Mastery - Enabling LLMs to Master Tools via Self-Driven Interactions.
- [Ds-Llm-Webui](https://github.com/DocShotgun/ds-llm-webui) - A simple tool-use assistant for local LLMs powered by TabbyAPI
- [Ducky](https://github.com/ParthSareen/ducky) - Local AI pair programming tool
- [Emergent](https://github.com/kyb3r/emergent) - An implementation of long term memory and external tools for LLMs
- [Empower-Functions](https://github.com/empower-ai/empower-functions) - GPT-4 level function calling models for real-world tool using use cases
- [Erag](https://github.com/EdwardDali/erag) - an AI interaction tool with RAG hybrid search, conversation context, web content processing and structured data analysis with LLM / GPT
- [Flotorch](https://github.com/FissionAI/FloTorch) - FloTorch is an open-source tool for optimizing Generative AI workloads on AWS. It automates RAG proof-of-concept development with feature…
- [Flux](https://github.com/paradigmxyz/flux) - Graph-based LLM power tool for exploring many completions in parallel.
- [Formfill](https://github.com/wdhorton/formfill) - FormFill is a CLI tool that uses LLMs to automatically fill out PDF forms.
- [Funclip](https://github.com/modelscope/FunClip) - Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.
- [Function-Python-Ai-Langchain](https://github.com/Azure-Samples/function-python-ai-langchain) - Simple starting point function to host LangChains with LLMs and other tools in an Azure Function.
- [Functionary](https://github.com/MeetKai/functionary) - Chat language model that can use tools and interpret the results
- [Functions-Tools-And-Agents-With-Langchain](https://github.com/Ryota-Kawamura/Functions-Tools-and-Agents-with-LangChain) - You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called La…
- [Gguf-Tools](https://github.com/KerfuffleV2/gguf-tools) - Some random tools for working with the GGUF file format
- [Gorilla](https://github.com/ShishirPatil/gorilla) - Gorilla - Training and Evaluating LLMs for Function Calls (Tool Calls)
- [Gpt4-Programming-Assistant](https://github.com/petermartens98/GPT4-Programming-Assistant) - Streamlit web app utilizing OpenAI (GPT-4) and LangChain LLM tools. Application includes an SQLite DB for login/authentication and messag…
- [Graphrag-Visualizer](https://github.com/noworneverev/graphrag-visualizer) - A web-based tool for visualizing and exploring artifacts from Microsoft's GraphRAG.
- [Harbor](https://github.com/av/harbor) - Effortlessly run LLM backends, APIs, frontends, and services with one command.
- [Heb-Gen-Ai](https://github.com/TovTechOrg/Heb-Gen-AI) - Tools, examples, and resources to assist in the development of Gen-AI (Generative Artificial Intelligence) applications in Hebrew, with a…
- [Howtofinetunellama3.1](https://github.com/Rs-py/HowToFineTuneLlama3.1) - Quick tutorial showing how to fine-tune Llama3.1 with nothing but free tools and text data. All code included in ipynb. For a step by ste…
- [Humanizer PRO](https://texthumanizer.pro) - AI-powered text humanization tool with 3 modes (Stealth, Academic, SEO), AI detection scanner, MCP integration for ChatGPT/Claude, and RESTful API access [website](https://texthumanizer.pro) | [github](https://github.com/khadinakbaronline/humanizer-pro-mcp) | [smithery](https://smithery.ai/servers/khadin-akbar/humanizer-pro)
- [Icodes](https://github.com/a115/iCODES) - LLM-powered Git archeology tool (a.k.a. Intelligent Commit Ontology Distiller and Enhanced Search)
- [Indie-Hacker-Tools-Plus](https://github.com/XiaomingX/indie-hacker-tools-plus) - 为独立开发者准备的精选技术栈和工具仓库来了！这里有你最需要的工具，帮你提升开发效率、节约成本，最重要的是——这些工具都是市场上热门的，经过验证的。🚀A curated collection of tech stacks and tools tailored for inde…
- [Intellichunk](https://github.com/cckalen/intellichunk) - Go Based Lightweight RAG / LLM Tool with CLI + API
- [Job-Webscraper](https://github.com/Prvargas/job-webscraper) - LLM API-Powered Job Listings Data Cleaning Tool - Showcase for Data Scientists
- [Just-Eval](https://github.com/Re-Align/just-eval) - A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
- [Labs-Ai-Tools-For-Devs](https://github.com/docker/labs-ai-tools-for-devs) - [Now with MCP Support] AI For Devs - Build, Share & Run agentic workflows. Just Docker. Just Markdown. BYO LLM
- [Lang-Tools-Llm-Powered](https://github.com/odedwolff/lang-tools-LLM-powered) - language learning tools utilizing LLM APIs among others
- [Langchain-Llm-Pdf-Qa](https://github.com/Ayyodeji/Langchain-LLM-PDF-QA) - This open-source project leverages cutting-edge tools and methods to enable seamless interaction with PDF documents. Powered by Langchain…
- [Langkit](https://github.com/whylabs/langkit) - 🔍 LangKit - An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safe…
- [Llama-Cpp-Agent](https://github.com/Maximilian-Winter/llama-cpp-agent) - The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM …
- [Llama-Pruning](https://github.com/MedITSolutionsKurman/llama-pruning) - This project provides tools to load and prune large language models using a structured pruning method.
- [Llm](https://github.com/MHaggis/LLM) - LLM tools and toys
- [Llm](https://github.com/joelabruce/llm) - Large Language Model Tools
- [Llm](https://github.com/Joshua-Immanuel/LLM) - prompting, evaluation, models, chains, indexes, vector stores, retrieval types, use of frameworks like langchain, agents with custom tools
- [Llm-As-Function](https://github.com/gusye1234/llm-as-function) - Embed your LLM into a python function
- [Llm-Benchmarks](https://github.com/wanzhenchn/llm-benchmarks) - LLM benchmark tools for LMDeploy, vLLM, and TensorRT-LLM.
- [Llm-Datasets](https://github.com/mlabonne/llm-datasets) - High-quality datasets, tools, and concepts for LLM fine-tuning.
- [Llm-Deployment-Tools-Llmops](https://github.com/Zamr77/LLM-Deployment-Tools-LLMOps) - This project empirically studies the challenges and prospects of deploying large language models (LLMs) in real-world applications using …
- [Llm-Fuzzx](https://github.com/Windy3f3f3f3f/LLM-FuzzX) - LLM-FuzzX is a user-friendly fuzz testing tool for Large Language Models (e.g., GPT, Claude, LLaMA), featuring advanced task-aware mutati…
- [Llm-Interest](https://github.com/hamelsmu/llm-interest) - Tool to collect LLM eval topics
- [Llm-S-Finetunning](https://github.com/Warishayat/LLM-s-Finetunning) - This library offers tools to easily fine-tune large language models (LLMs) on custom datasets. It enhances pre-trained models for specifi…
- [Llm-Security-101](https://github.com/Seezo-io/llm-security-101) - Delving into the Realm of LLM Security - An Exploration of Offensive and Defensive Tools, Unveiling Their Present Capabilities.
- [Llm-Slackbot-Channels](https://github.com/Vokturz/LLM-slackbot-channels) - A user-customized bot for your slack channels using LLMs, Tools and Documents
- [Llm-Term](https://github.com/dh1011/llm-term) - A Rust-based CLI tool that generates and executes terminal commands using OpenAI's language models.
- [Llm-Toolbox-Suite](https://github.com/SaurabhBadole/llm-toolbox-suite) - LLM Toolbox Suite, a powerful and versatile set of tools designed to harness the capabilities of large language models for various produc…
- [Llm-Tools](https://github.com/datacommonsorg/llm-tools) - This repo contains client library code for accessing DataGemma, an open model that helps address the challenges of hallucination by grounding LLMs in the vast, real-world statistical data of Google's Data Commons
- [Llm-Tools](https://github.com/gkorepanov/llm-tools) - Some ad-hoc coding tools for LLMs
- [Llm-Tools](https://github.com/TheTeslak/LLM-Tools) - Scripts for preparing data for LLMs - text extraction, Telegram export processing, and file merging with filtering and stats.
- [Llm-Toolschain](https://github.com/Viagounet/LLM-ToolsChain) - A LangChain-like framework centered around the use of tools and planning. Useful for agents creation
- [Llm-Warden](https://github.com/jackhhao/llm-warden) - A simple jailbreak detection tool for safeguarding LLMs.
- [Llm.Guts](https://github.com/Mahdi-s/llm.guts) - A tool to visualize the internal computational graph of distilgpt2 model.
- [Llm_Agents_Devtools](https://github.com/M1n9X/llm_agents_devtools) - A curated list of autonomous agents and developer tools powered by LLM.
- [Llm_Api_Price_Comparator_Web](https://github.com/CookSleep/LLM_API_Price_Comparator_Web) - LLM API Price Comparator Web 是一个在线工具，帮助用户便捷地比较不同LLM API服务商在指定输入输出下调用同一种模型的价格。 它会自动获取美元/人民币汇率，允许用户输入服务商的余额、调用定价信息，并计算、比较相对于输入输出Token的成本。 该…
- [Llm_Counts](https://github.com/harleyszhang/llm_counts) - llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
- [Llm_Surprisal](https://github.com/tmalsburg/llm_surprisal) - Simple tool for generating tokens with open source transformers and/or calculate per-token surprisal.
- [Llm_Tools](https://github.com/mavihsrr/LLM_tools) - Productive tools for enhancing and creating LLMs.
- [Llm_Video_Editor](https://github.com/sanskar9999/llm_video_editor) - This application utilizes Large Language Models (LLM) and FFmpeg to automate video editing tasks based on user instructions. Built with a…
- [Llmask](https://github.com/top-on/llmask) - A command-line tool for masking authorship of text, by changing the writing style with a Large Language Model.
- [Llmcode](https://github.com/javierganan99/LLMCode) - LLMCode is a tool designed to streamline code documentation using Language Models (LLMs).
- [Llmcurator.Io](https://github.com/pushpankar/LLMCurator.io) - LLM frontend and data curation tool.
- [Llmsmartaudittool](https://github.com/LLMAudit/LLMSmartAuditTool) - LLM-SmartAudit is a cutting-edge tool designed to revolutionize smart contract auditing using advanced language models.
- [Llmtestforaccessibilitycheck_Chatgpt](https://github.com/AutoBugHunter/LLMTestForAccessibilityCheck_chatgpt) - Checking multiple LLM tools to generate code for a webpage and then prompting the tools to fix the accessibility issues in the webpage
- [Localagent](https://github.com/PrAsAnNaRePo/LocalAgent) - opengpt is a open implementation of GPT agents.
- [Macllm](https://github.com/appenz/macLLM) - Tool to integrate LLM's like GPT-3 with macOS
- [Markdown_Llm](https://github.com/matweldon/markdown_llm) - A tool for interacting with an LLM in a markdown document
- [Mastermind](https://github.com/theoforger/mastermind) - An LLM-powered CLI tool to help you be a better spymaster in Codenames
- [Metorial](https://github.com/metorial/metorial) - Connect AI agents to 600+ integrations with a single interface - OAuth, scaling, and monitoring included
- [Mcp-Go](https://github.com/mark3labs/mcp-go) - A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources…
- [Mcphost](https://github.com/mark3labs/mcphost) - A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
- [Mergekit](https://github.com/arcee-ai/mergekit) - Tools for merging pretrained large language models.
- [Modelready](https://github.com/suparious/ModelReady) - Collection of tools for creating and running llama.cpp compatible LLMs
- [Monadic-Chat](https://github.com/yohasebe/monadic-chat) - 🤖 + 🐳 + 🐧 Monadic Chat is a locally hosted web app for creating intelligent chatbots, available for Mac, Windows, and Linux. It offers a …
- [Monocle](https://github.com/arphanetx/Monocle) - Tooling backed by an LLM for performing natural language searches against compiled target binaries. Search for encryption code, password …
- [Mql](https://github.com/shurutech/mql) - MQL tool is designed to generate SQL queries directly from natural language inputs.
- [Nano-Bots](https://github.com/icebaker/nano-bots) - Repository for Nano Bots' Cartridges - small, AI-powered bots that can be easily shared as a single file, designed to support multiple pro…
- [Nano-Bots-Api](https://github.com/icebaker/nano-bots-api) - HTTP API for Nano Bots - small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as…
- [Notiongpt](https://github.com/Suiwan/notionGPT) - NotionGPT, a practical tool built on top of ChatGPT large language model, make it your note-taking assistant!
- [Ollama-Mcp-Bridge](https://github.com/patruff/ollama-mcp-bridge) - Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
- [Open-Webui-Tools](https://github.com/Haervwe/open-webui-tools) - a Repository of Open-WebUI tools to use with your favourite LLMs
- [Openai-Tools](https://github.com/tipani86/OpenAI-Tools) - Toolkit to get the most out of your OpenAI Account
- [Pathology_Llm](https://github.com/JaesikKim/pathology_llm) - GPT-4 as decision support tool in oncology
- [Pentestgpt](https://github.com/GreyDGL/PentestGPT) - A GPT-empowered penetration testing tool
- [Plasmate](https://github.com/plasmate-labs/plasmate) - A browser engine built for AI agents that compiles HTML into a Semantic Object Model (SOM), providing 10x token compression vs raw HTML. V8 JS rendering, CDP compatibility, authenticated browsing, MCP server [github](https://github.com/plasmate-labs/plasmate) | [docs](https://docs.plasmate.app)
- [Prelude](https://github.com/aerugo/prelude) - A very simple tool to build LLM prompts from your code repositories.
- [Prophetfuzz](https://github.com/NASP-THU/ProphetFuzz) - [CCS'24] An LLM-based, fully automated fuzzing tool for option combination testing.
- [Purplellama](https://github.com/meta-llama/PurpleLlama) - Set of tools to assess and improve LLM security.
- [Qlora-Llm](https://github.com/michaelnny/QLoRA-LLM) - A simple custom QLoRA implementation for fine-tuning a language model (LLM) with basic tools such as PyTorch and Bitsandbytes, completely…
- [Querying-Csvs-And-Plot-Graphs-With-Llms](https://github.com/SomyanshAvasthi/Querying-CSVs-and-Plot-Graphs-with-LLMs) - Leveraging Large Language Models (LLMs) to query CSV files and plot graphs transforms data analysis. This allows to interact with dataset…
- [Rag-On-Gcp-With-Vertexai](https://github.com/BastinFlorian/RAG-on-GCP-with-VertexAI) - Create a Chatbot app on your own data with GCP tools
- [Ragelo](https://github.com/zetaalphavector/RAGElo) - RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo ranker
- [Rageval](https://github.com/gomate-community/rageval) - Evaluation tools for Retrieval-augmented Generation (RAG) methods.
- [Recruitpilot](https://github.com/jaredkirby/RecruitPilot) - A set of AI tools to automate resume scoring and generate interview questions.
- [Redlite](https://github.com/innodatalabs/redlite) - Opinionated tool for benchmarking Conversational Language Models
- [Remarkable-2-Llm](https://github.com/99x-incubator/remarkable-2-llm) - Integrating LLMs into reMarkable could unlock transformative features like auto-completion, grammar/style corrections, contextual suggest…
- [Repo-To-Text](https://github.com/kirill-markin/repo-to-text) - Convert a repository structure and its contents into a single text file, including the tree output and file contents in markdown code blo…
- [Resume_Render_From_Job_Description](https://github.com/AIHawk-FOSS/resume_render_from_job_description) - Resume_Builder_AIHawk is a powerful Python tool that allows you to automatically customize your resume based on a job URL, ensuring it pe…
- [Rome-Llm](https://github.com/ajn313/ROME-LLM) - Tools for Recurrent Optimization via Machine Editing and related benchmarks
- [Selenium-Agent](https://github.com/ahmadrosid/selenium-agent) - LLM agent using selenium as a tool. Have fun!
- [Simple-Llm-Exporter](https://github.com/realityinspector/simple-llm-exporter) - a tool to export entire scripts to a text file with a file tree and description, for exporting to llm's
- [SkillLite](https://github.com/EXboys/skilllite) - A lightweight, zero-dependency runtime for the agentsskills protocol that enables AI agents to securely execute portable skills locally. Written in Rust with native OS sandboxing, millisecond cold starts, single binary deployment [github](https://github.com/EXboys/skilllite)
- [Smart_Fault_Injector_Llm](https://github.com/JiaHuann/Smart_Fault_Injector_LLM) - Intelligent kernel error injection/testing tool based on large model and eBPF.(基于大模型和eBPF的智能化kernel错误注入、测试工具)
- [Speech-To-Code](https://github.com/dharllc/speech-to-code) - llm assisted development tools
- [Speechless](https://github.com/uukuguy/speechless) - LLM based agents with proactive interactions, long-term memory, external tool integration, and local deployment capabilities.
- [Splaa](https://github.com/cp3249/splaa) - SPLAA is an AI assistant framework that utilizes voice recognition, text-to-speech, and tool-calling capabilities to provide a conversati…
- [Stan](https://github.com/kaifcoder/Stan) - Develop and deploy a Large Language Model (LLM) based tool for generating human like responses to natural language inputs for network not…
- [Stock-Analysis-With-Llm](https://github.com/bauer-jan/stock-analysis-with-llm) - This repository provides tools and workflows for stock analysis using large language models (LLMs). It combines financial data processing…
- [Structgenius](https://github.com/jaadbarg/StructGenius) - Download boilerplate file structure of any tree diagram you give
- [Tapir](https://github.com/ephes/tapir) - Some llm tools
- [Textcloak](https://github.com/umutcamliyurt/TextCloak) - A tool for concealing writing style using LLM
- [Thoughtloom](https://github.com/tbiehn/thoughtloom) - ThoughtLoom is a powerful tool designed to foster creativity and enhance productivity through the use of LLMs directly from the command l…
- [Tiger](https://github.com/Upsonic/Tiger) - No Crypto - Scam alarm - This project is not releated with any crypto currencies. | Neuralink for your AI Agents - LangChain - Autogen - …
- [Toolcommander](https://github.com/NicerWang/ToolCommander) - Official implementation of "From Allies to Adversaries - Manipulating LLM Tool Scheduling through Adversarial Injection".
- [Toolla](https://github.com/foomprep/toolla) - High level tool use for LLMs
- [Toolplanner](https://github.com/XiaoMi/toolplanner) - ToolPlanner - A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback
- [Toolqa](https://github.com/night-chen/ToolQA) - ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …
- [Tools](https://github.com/buildownai/tools) - Monorepository of LLM based t AI ools provided by BuildOwn.AI
- [Tora](https://github.com/microsoft/ToRA) - ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting with …
- [Trafilatura](https://github.com/adbar/trafilatura) - Python & Command-line tool to gather text and metadata on the Web - Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
- [Unchained](https://github.com/aaronamelgar/unchained) - A Django-based tool for prompt engineering and LLM system evaluation.
- [Useful-Generativeai-Tools-Repo](https://github.com/anishsingh20/Useful-GenerativeAI-Tools-Repo) - This repository has useful prompts for LLM and Generative AI models like Bard and ChatGPT
- [Visuallm](https://github.com/gortibaldik/visuallm) - Visualization tool for various generation tasks on Language Models.
- [WFGY](https://github.com/onestardao/WFGY) - An open-source framework for debugging and stress testing LLMs under long-horizon, high-tension text scenarios. Includes a TXT-based debugging app for structured sequences to identify where reasoning breaks and retrieval fails [github](https://github.com/onestardao/WFGY)
- [Whitebox-Code-Gpt](https://github.com/Decron/Whitebox-Code-GPT) - Repository of instructions for Programming-specific GPT models
- [Widemem-Ai](https://github.com/remete618/widemem-ai) - Lightweight Python memory layer for LLM agents with importance scoring, temporal decay, 3-tier hierarchical memory, YMYL prioritization, and batch conflict resolution. Local-first with SQLite + FAISS. [github](https://github.com/remete618/widemem-ai) | [website](https://widemem.ai) | [pypi](https://pypi.org/project/widemem-ai/)
- [Wildguard](https://github.com/allenai/wildguard) - Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
- [Wxflows](https://github.com/IBM/wxflows) - Examples and tutorials for building AI applications with watsonx.ai Flows Engine
- [Xemantic-Ai-Tool-Schema](https://github.com/xemantic/xemantic-ai-tool-schema) - Kotlin multiplatform AI/LLM tool use (function calling) JSON Schema generator
- [Yahoo-Finance-Llm-Agent](https://github.com/ojasskapre/yahoo-finance-llm-agent) - The Yahoo Finance Agent is an application that combines OpenAI's LLMs, the Yahoo Finance Python library, and LangChain's tools to provide…
- [Zahara-Litellm](https://github.com/LiquidAdTech/Zahara-LiteLLM) - Gen AI tools

### Workflows
- [Abc-Classroom](https://github.com/earthlab/abc-classroom) - Tools to automate github classroom and autograding workflows
- [Actions](https://github.com/Azure/actions) - Author and use Azure Actions to automate your GitHub workflows
- [Actions](https://github.com/backstage/actions) - Custom actions for automating Backstage workflows
- [Actions-Workflow-Samples](https://github.com/Azure/actions-workflow-samples) - Help developers to easily get started with GitHub Action workflows to deploy to Azure
- [Activepieces](https://github.com/activepieces/activepieces) - Your friendliest open source AI automation tool ✨ Workflow automation tool 200+ integration / Enterprise automation tool / Zapier Alterna…
- [Advanced-Gpts](https://github.com/nerority/Advanced-GPTs) - Custom GPT Showcase, featuring advanced workflows and operational logic.
- [Airflow](https://github.com/apache/airflow) - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- [Airflow-Cookbook](https://github.com/bahchis/airflow-cookbook) - Airflow workflow management platform chef cookbook.
- [Alfred-Calculate-Anything](https://github.com/biati-digital/alfred-calculate-anything) - Alfred Workflow to calculate anything with natural language
- [Alfred-Github-Workflow](https://github.com/gharlan/alfred-github-workflow) - GitHub Workflow for Alfred
- [Alfred-Pinboard-Rs](https://github.com/spamwax/alfred-pinboard-rs) - Alfred Workflow for Pinboard (Rust)
- [Alfred-Terminalfinder](https://github.com/LeEnno/alfred-terminalfinder) - Alfred workflow to open current Finder window in Terminal/iTerm and vice versa.
- [Alfred-Workflow](https://github.com/joetannenbaum/alfred-workflow) - PHP helper library for Alfred Workflows
- [Alfred-Workflow-Todoist](https://github.com/moranje/alfred-workflow-todoist) - An Alfred workflow for managing tasks in Todoist
- [Alfred-Workflows](https://github.com/zenorocha/alfred-workflows) - 🤘 A collection of Alfred 3 and 4 workflows that will rock your world
- [Alfred-Workflows](https://github.com/vitorgalvao/alfred-workflows) - Collection of Alfred workflows
- [Alfred-Workflows](https://github.com/learn-anything/alfred-workflows) - Amazing Alfred Workflows
- [Alfred-Workflows](https://github.com/willfarrell/alfred-workflows) - Alfred Workflows for Developers
- [Alfred-Workflows-Scientific](https://github.com/andrewning/alfred-workflows-scientific) - A collection of Alfred workflows targeting scientific applications
- [Alfred2-Ruby-Template](https://github.com/zhaocai/alfred2-ruby-template) - Alfred 2 Workflow Ruby Template
- [Alfredworkflow.Com](https://github.com/hzlzh/AlfredWorkflow.com) - A public Collection of Alfred Workflows.
- [Alfy](https://github.com/sindresorhus/alfy) - Create Alfred workflows with ease
- [Amazon-Mwaa-Examples](https://github.com/aws-samples/amazon-mwaa-examples) - Amazon Managed Workflows for Apache Airflow (MWAA) Examples repository contains example DAGs, requirements.txt, plugins, and CloudFormati…
- [Ambrose](https://github.com/twitter-archive/ambrose) - A platform for visualization and real-time monitoring of data workflows
- [Argo-Python-Dsl](https://github.com/argoproj-labs/argo-python-dsl) - Python DSL for Argo Workflows
- [Argo-Workflows](https://github.com/argoproj/argo-workflows) - Workflow Engine for Kubernetes
- [Argo-Workflows-Demo](https://github.com/vfarcic/argo-workflows-demo) - argo workflows
- [Arrow-User2022](https://github.com/djnavarro/arrow-user2022) - Larger-Than-Memory Data Workflows with Apache Arrow
- [Astro-Sdk](https://github.com/astronomer/astro-sdk) - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
- [Atomate2](https://github.com/materialsproject/atomate2) - atomate2 is a library of computational materials science workflows
- [Autopr](https://github.com/irgolic/AutoPR) - Run AI-powered workflows over your codebase
- [Awesome-Alfred-Workflows](https://github.com/alfred-workflows/awesome-alfred-workflows) - A curated list of awesome alfred workflows
- [Aws-Ddk](https://github.com/awslabs/aws-ddk) - An open source development framework to help you build data workflows and modern data architecture on AWS.
- [Aws-Genomics-Workflows](https://github.com/aws-samples/aws-genomics-workflows) - Genomics Workflows on AWS
- [Aws-Lambda-Fsm-Workflows](https://github.com/Workiva/aws-lambda-fsm-workflows) - A Python framework for developing finite state machine-based workflows on AWS Lambda.
- [Aws-Mwaa-Local-Runner](https://github.com/aws/aws-mwaa-local-runner) - This repository provides a command line interface (CLI) utility that replicates an Amazon Managed Workflows for Apache Airflow (MWAA) env…
- [Aws-Swf-Flow-Library](https://github.com/aws/aws-swf-flow-library) - AWS Simple Workflow Flow framework library
- [Azkaban](https://github.com/azkaban/azkaban) - Azkaban workflow manager.
- [Backbone-Boilerplate](https://github.com/tbranyen/backbone-boilerplate) - A workflow for building Backbone applications.
- [Biobakery_Workflows](https://github.com/biobakery/biobakery_workflows) - bioBakery workflows is a collection of workflows and tasks for executing common microbial community analyses using standardized, validate…
- [Bioinformatics](https://github.com/jumphone/Bioinformatics) - Bioinformatics Workflows
- [Bioinformatics](https://github.com/stevekm/Bioinformatics) - Bioinformatics analysis scripts, workflows, general code examples
- [Bktask](https://github.com/Backelite/BkTask) - An asynchronous workflows library for iOS
- [Captain](https://github.com/harbur/captain) - Captain - Convert your Git workflow to Docker 🐳 containers
- [Celery-Director](https://github.com/ovh/celery-director) - Simple and rapid framework to build workflows with Celery
- [ChatGPT API](https://platform.openai.com/) OpenAI's API for integrating GPT models into applications.
- [Ci-Gha-Workflow](https://github.com/opencv/ci-gha-workflow) - GitHub Actions workflows for OpenCV project
- [Classifai](https://github.com/10up/classifai) - Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence.
- [Comfyui-Workflows](https://github.com/xiwan/comfyUI-workflows) - store my pixel or any interesting comfyui workflows
- [Comfyui-Workflows-Zho](https://github.com/ZHO-ZHO-ZHO/ComfyUI-Workflows-ZHO) - 我的 ComfyUI 工作流合集 | My ComfyUI workflows collection
- [Comfyui-Workspace-Manager](https://github.com/11cafe/comfyui-workspace-manager) - A ComfyUI workflows and models management extension to organize and manage all your workflows, models in one place. Seamlessly switch bet…
- [Comfyui-Yolain-Workflows](https://github.com/yolain/ComfyUI-Yolain-Workflows) - Some awesome comfyui workflows in here, and they are built using the comfyui-easy-use node package.
- [Comfyui_Examples](https://github.com/comfyanonymous/ComfyUI_examples) - Examples of ComfyUI workflows
- [Comfyui_Workflows](https://github.com/cubiq/ComfyUI_Workflows) - A repository of well documented easy to follow workflows for ComfyUI
- [Comfyuimini](https://github.com/ImDarkTom/ComfyUIMini) - A mobile-friendly WebUI to run ComfyUI workflows.
- [Configs](https://github.com/nf-core/configs) - Config files used to define parameters specific to compute environments at different Institutions
- [Confluent-Kubernetes-Examples](https://github.com/confluentinc/confluent-kubernetes-examples) - Example scenario workflows for Confluent for Kubernetes
- [Corewf](https://github.com/UiPath/CoreWF) - WF runtime ported to work on .NET 6
- [Couler](https://github.com/couler-proj/couler) - Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Ap…
- [Create-Actionsprs](https://github.com/jhutchings1/Create-ActionsPRs) - This repository creates pull requests to push a GitHub Actions workflow to a collection of workflows.
- [Crewai-Examples](https://github.com/crewAIInc/crewAI-examples) - A collection of examples that show how to use CrewAI framework to automate workflows.
- [Cuda-Quantum](https://github.com/NVIDIA/cuda-quantum) - C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
- [Cylc-Flow](https://github.com/cylc/cylc-flow) - Cylc - a workflow engine for cycling systems.
- [Cylc-Ui](https://github.com/cylc/cylc-ui) - Web app for monitoring and controlling Cylc workflows
- [Cypress-Realworld-App](https://github.com/cypress-io/cypress-realworld-app) - A payment application to demonstrate real-world usage of Cypress testing methods, patterns, and workflows.
- [D6Tflow](https://github.com/d6t/d6tflow) - Python library for building highly effective data science workflows
- [Darktable](https://github.com/darktable-org/darktable) - darktable is an open source photography workflow application and raw developer
- [Data-Engineering](https://github.com/GokuMohandas/data-engineering) - Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
- [Datadog](https://github.com/masci/datadog) - Send Datadog metrics and events from GitHub workflows
- [Deepl-Alfred-Workflow2](https://github.com/AlexanderWillner/deepl-alfred-workflow2) - DeepL Alfred Workflow
- [Deploy-Pages](https://github.com/actions/deploy-pages) - GitHub Action to publish artifacts to GitHub Pages for deployments
- [Design_Diagrams](https://github.com/iam-veeramalla/design_diagrams) - flowcharts, workflows and diagrams
- [Docker-Compose-Laravel](https://github.com/aschmelyun/docker-compose-laravel) - A docker-compose workflow for local Laravel development
- [Docker-Compose-Wordpress](https://github.com/aschmelyun/docker-compose-wordpress) - A docker-compose workflow for local WordPress development
- [Docker-Wordpress](https://github.com/paulczar/docker-wordpress) - Demostrating dev workflow ... vagrant -> docker -> openstack
- [Documentation](https://github.com/ow2-proactive/documentation) - Documentation for ProActive Workflows & Scheduling
- [Dolphinscheduler](https://github.com/apache/dolphinscheduler) - Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
- [Ds-Workflows-R](https://github.com/posit-conf-2024/ds-workflows-r) - posit::conf(2024) workshop - Data Science Workflows with Posit Tools — R Focus
- [Earth2Studio](https://github.com/NVIDIA/earth2studio) - Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
- [Elodie](https://github.com/jmathai/elodie) - An EXIF-based photo assistant, organizer and workflow automation tool.
- [Elsa-Core](https://github.com/elsa-workflows/elsa-core) - A .NET workflows library
- [Ephemeris](https://github.com/galaxyproject/ephemeris) - Library for managing Galaxy plugins - tools, index data, and workflows.
- [Ert-Runner.El](https://github.com/rejeep/ert-runner.el) - Opinionated Ert testing workflow
- [Examples](https://github.com/concourse/examples) - Examples of Concourse workflows
- [Extension-Ci-Tools](https://github.com/duckdb/extension-ci-tools) - Repository containing reusable workflows / actions for building DuckDB extensions
- [Extractthinker](https://github.com/enoch3712/ExtractThinker) - ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.
- [Fastshell](https://github.com/HosseinKarami/fastshell) - Fiercely quick front-end boilerplate and workflows, HTML5, Gulp, Sass
- [Fireshell](https://github.com/toddmotto/fireshell) - Fiercely quick front-end boilerplate and workflows, HTML5, Grunt, Sass.
- [Fireworks](https://github.com/materialsproject/fireworks) - The Fireworks Workflow Management Repo.
- [Flask-App](https://github.com/brennv/flask-app) - Example app for demonstrating CI/CD workflows.
- [Floki](https://github.com/Cyb3rWard0g/floki) - Agentic Workflows Made Simple
- [Flux-Core](https://github.com/flux-framework/flux-core) - core services for the Flux resource management framework
- [Flyte](https://github.com/ExpediaGroup/flyte) - Flyte binds together the tools you use into easily defined, automated workflows
- [Fogworkflowsim](https://github.com/ISEC-AHU/FogWorkflowSim) - An Environment for Simulation and Performance Evaluation of Workflows in Fog Computing
- [Funflow](https://github.com/tweag/funflow) - Functional workflows
- [Gatk4-Rnaseq-Germline-Snps-Indels](https://github.com/gatk-workflows/gatk4-rnaseq-germline-snps-indels) - Workflows for processing RNA data for germline short variant discovery with GATK v4 and related tools
- [Gatk4-Somatic-Cnvs](https://github.com/gatk-workflows/gatk4-somatic-cnvs) - This repo is archived, these workflows will be housed in the GATK repository under the scripts directory. These workflows are also organi…
- [Gdoc-Downloader](https://github.com/uid/gdoc-downloader) - Downloads Google Docs as text files, which enables workflows such as simultaneous LaTeX editing
- [Generativeaiexamples](https://github.com/NVIDIA/GenerativeAIExamples) - Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- [Ghat](https://github.com/fregante/ghat) - 🛕 Reuse GitHub Actions workflows across repositories
- [Git-Collaboration](https://github.com/jduckles/git-collaboration) - A repository to demonstrate collaboration workflows
- [Git-Guppy](https://github.com/therealklanni/git-guppy) - Simple git-hook integration for your gulp workflows.
- [Git-Octopus](https://github.com/lesfurets/git-octopus) - The continuous merge workflow
- [Git-Practice](https://github.com/awesome-academy/git-practice) - Practice about Git workflow
- [Git-Smart](https://github.com/geelen/git-smart) - Add some smarts to your git workflow
- [Github-Action-Gitflow-Release-Workflow](https://github.com/thomaseizinger/github-action-gitflow-release-workflow) - Example workflows for automated releases in a GitFlow-style project using GitHub actions.
- [Github-Actions](https://github.com/FuelLabs/github-actions) - Reusable Actions workflows
- [Github-Actions-Flutter-Workflows](https://github.com/zgosalvez/github-actions-flutter-workflows) - Opinionated GitHub Action workflows for Flutter projects
- [Github-Script](https://github.com/actions/github-script) - Write workflows scripting the GitHub API in JavaScript
- [Gitwash](https://github.com/matthew-brett/gitwash) - Workflow using git
- [Global-Workflow](https://github.com/NOAA-EMC/global-workflow) - Global Superstructure/Workflow supporting the Global Forecast System (GFS)
- [Graphql-Cli](https://github.com/Urigo/graphql-cli) - 📟 Command line tool for common GraphQL development workflows
- [Graphql-Playground](https://github.com/graphql/graphql-playground) - 🎮 GraphQL IDE for better development workflows (GraphQL Subscriptions, interactive docs & collaboration)
- [Gulp](https://github.com/gulpjs/gulp) - A toolkit to automate & enhance your workflow
- [Hawk-Projects](https://github.com/ferventdesert/Hawk-Projects) - Project configurations of Hawk and etlpy. xml-format workflow define
- [Helm-Secrets](https://github.com/jkroepke/helm-secrets) - A helm plugin that help manage secrets with Git workflow and store them anywhere
- [Idseq-Workflows](https://github.com/chanzuckerberg/idseq-workflows) - Portable WDL workflows for IDseq production pipelines
- [Inker](https://github.com/posabsolute/inker) - Evolved email development & delivery workflow
- [Isaac_Perceptor](https://github.com/NVIDIA-ISAAC-ROS/isaac_perceptor) - Perception workflows
- [Jira-Connect-Orb](https://github.com/CircleCI-Public/jira-connect-orb) - Display the status of CircleCI workflows and deployments in Jira!
- [Keras-Cv](https://github.com/keras-team/keras-cv) - Industry-strength Computer Vision workflows with Keras
- [Ketrew](https://github.com/hammerlab/ketrew) - Keep Track of Experimental Workflows
- [Konfig](https://github.com/KusionStack/konfig) - Shared repository of application models and components, and CI suite for GitOps workflows
- [Kuroko2](https://github.com/cookpad/kuroko2) - Kuroko2 is a web-based job scheduler / workflow engine.
- [Laraadmin-Crm](https://github.com/dwijitsolutions/laraadmin-crm) - LaraAdmin is a Open source CRM for quick-start Admin based applications with features like Advanced CRUD Generation, Schema Manager and W…
- [Laravel-4-Generators](https://github.com/dahabit/Laravel-4-Generators) - Rapidly speed up your Laravel 4 workflow with generators
- [Lexikworkflowbundle](https://github.com/lexik/LexikWorkflowBundle) - Simple workflow bundle for Symfony2
- [Libmolgrid](https://github.com/gnina/libmolgrid) - Comprehensive library for fast, GPU accelerated molecular gridding for deep learning workflows
- [Linker](https://github.com/m-reda/linker) - workflow editor library
- [Livebook](https://github.com/livebook-dev/livebook) - Automate code & data workflows with interactive Elixir notebooks
- [Llmstack](https://github.com/trypromptly/LLMStack) - No-code multi-agent framework to build LLM Agents, workflows and applications with your data
- [Luigi](https://github.com/spotify/luigi) - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, vis…
- [Machine-Learning-Examples](https://github.com/aaronkub/machine-learning-examples) - This repository contains various examples of machine learning workflows.
- [Maestro](https://github.com/Netflix/maestro) - Maestro - Netflix’s Workflow Orchestrator
- [Marmot](https://github.com/google/marmot) - Marmot workflow execution engine
- [Metropolis-Nim-Workflows](https://github.com/NVIDIA/metropolis-nim-workflows) - Collection of reference workflows for building intelligent agents with NIMs
- [Modin](https://github.com/modin-project/modin) - Modin - Scale your Pandas workflows by changing a single line of code
- [Molecule-Action](https://github.com/gofrolist/molecule-action) - GitHub Action for running molecule as part of your workflows!
- [N8N-Workflows](https://github.com/reorx/n8n-workflows) - My workflows for n8n automation
- [Nactivity](https://github.com/zhangzihan/nactivity) - workflow engine activity activiti
- [Ngx-I18Nsupport](https://github.com/martinroob/ngx-i18nsupport) - Some tooling to be used for Angular i18n workflows
- [Nipype](https://github.com/nipy/nipype) - Workflows and interfaces for neuroimaging packages
- [Notion-Search-Alfred-Workflow](https://github.com/wrjlewis/notion-search-alfred-workflow) - An Alfred workflow to search Notion with instant results
- [Ollama.Nvim](https://github.com/nomnivore/ollama.nvim) - A plugin for managing and integrating your ollama workflows in neovim.
- [Oozie-Examples](https://github.com/dbist/oozie-examples) - sample oozie workflows
- [Open-Workflows](https://github.com/amiaopensource/open-workflows) - List of open workflows and resources for A/V archiving
- [Optix-Toolkit](https://github.com/NVIDIA/optix-toolkit) - Set of utilities supporting workflows common in GPU raytracing applications
- [Organization-Workflows](https://github.com/SvanBoxel/organization-workflows) - Need to centrally manage and run Actions workflows across multiple repositories? This app does it for you.
- [n8n](https://github.com/n8n-io/n8n) - Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
- [Perl-Workflow](https://github.com/perl-workflow/perl-workflow) - Workflow - simple, flexible system to implement workflows/state machines
- [Pimcore-Workflow-Gui](https://github.com/YouweGit/pimcore-workflow-gui) - Adds a nice GUI to Pimcore Workflows
- [Pipeline](https://github.com/myntra/pipeline) - Pipeline is a package to build multi-staged concurrent workflows with a centralized logging output.
- [Pipenv](https://github.com/pypa/pipenv) - Python Development Workflow for Humans.
- [Pitagora-Cwl](https://github.com/pitagora-network/pitagora-cwl) - Common Workflow Language tools and workflows by Pitagora-Network
- [Pr-Harmony](https://github.com/monitorjbl/pr-harmony) - Extra pull request workflows for Stash
- [Prefabworkflows_Spiderrobots](https://github.com/UnityTechnologies/PrefabWorkflows_SpiderRobots) - Demo Project showing the new Prefab Workflows - Prefab Mode, Editing and Nesting!
- [Process-Engine.Js](https://github.com/oliverzy/process-engine.js) - Node.js Business Process/Workflow Engine
- [Publish-Packages](https://github.com/skills/publish-packages) - Use GitHub Actions to publish your project to a Docker image.
- [Puppet-Git-Hooks](https://github.com/adrienthebo/puppet-git-hooks) - Various and sundry git hooks for puppet workflows
- [Purchase-Workflow](https://github.com/OCA/purchase-workflow) - Odoo Purchases, Workflow and Organization
- [Pyspur](https://github.com/PySpur-Dev/pyspur) - Graph-Based Editor for LLM Workflows
- [Pyzeebe](https://github.com/camunda-community-hub/pyzeebe) - Python client for Zeebe workflow engine
- [Ramp-Workflow](https://github.com/paris-saclay-cds/ramp-workflow) - Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).
- [Rasflow](https://github.com/zhxiaokang/RASflow) - RNA-Seq analysis workflow
- [Rayder](https://github.com/devanshbatham/rayder) - A lightweight tool for orchestrating and organizing your bug hunting recon / pentesting command-line workflows
- [Reaflow](https://github.com/reaviz/reaflow) - 🎯 React library for building workflow editors, flow charts and diagrams. Maintained by @goodcodeus.
- [Redmine_Workflow_Enhancements](https://github.com/dr-itz/redmine_workflow_enhancements) - Redmine workflow enhancements. UNMAINTAINED
- [Redux-User-Auth](https://github.com/Chinwike1/redux-user-auth) - User Authentication workflow made with the MERN stack
- [Repo-File-Sync-Action](https://github.com/BetaHuhn/repo-file-sync-action) - 🔄 GitHub Action to keep files like Action workflows or entire directories in sync between multiple repositories.
- [Reusable-Workflows](https://github.com/actions/reusable-workflows) - Reusable workflows for developing actions
- [Rexpect](https://github.com/rust-cli/rexpect) - .github/workflows/ci.yml
- [Rhessysworkflows](https://github.com/selimnairb/RHESSysWorkflows) - RHESSysWorkflows provides Python scripts for building RHESSys models
- [Row-Oriented-Workflows](https://github.com/jennybc/row-oriented-workflows) - Row-oriented workflows in R with the tidyverse
- [Ruote-Kit](https://github.com/kennethkalmer/ruote-kit) - RESTish wrapper for ruote workflow engine
- [Rust-Build](https://github.com/esp-rs/rust-build) - Installation tools and workflows for deploying/building Rust fork esp-rs/rust with Xtensa and RISC-V support
- [Sage](https://github.com/roots/sage) - WordPress starter theme with Laravel Blade components and templates, Tailwind CSS, and a modern development workflow
- [Sale-Workflow](https://github.com/OCA/sale-workflow) - Odoo Sales, Workflow and Organization
- [Search-Alfred-Workflows](https://github.com/Acidham/search-alfred-workflows) - Search Alfred Workflows
- [Seargesdxl](https://github.com/SeargeDP/SeargeSDXL) - Custom nodes and workflows for SDXL in ComfyUI
- [Serverless-Workflows](https://github.com/rhdhorchestrator/serverless-workflows) - A selected set of serverless workflows
- [Setup-Jfrog-Cli](https://github.com/jfrog/setup-jfrog-cli) - Set up JFrog CLI in your GitHub Actions workflow
- [Shadcn-Next-Workflows](https://github.com/nobruf/shadcn-next-workflows) - Interactive workflow builder using React Flows, Next.js, and Shadcnui. Create, connect, and validate custom nodes easily.
- [Shimmering-Obsidian](https://github.com/chrisgrieser/shimmering-obsidian) - Alfred Workflow with dozens of features for controlling your Obsidian vault.
- [Skyvern](https://github.com/Skyvern-AI/skyvern) - Automate browser-based workflows with LLMs and Computer Vision
- [Slashbase-Go](https://github.com/slashbase/slashbase-go) - Modern database IDE for your dev & data workflows. Supports MySQL, PostgreSQL & MongoDB.
- [Slickflow](https://github.com/besley/Slickflow) - .NET Open Source Workflow Engine, .NET 开源工作流
- [Smriprep](https://github.com/nipreps/smriprep) - Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
- [Sos](https://github.com/vatlab/sos) - SoS workflow system for daily data analysis
- [Spiffworkflow](https://github.com/sartography/SpiffWorkflow) - A powerful workflow engine implemented in pure Python
- [Spreads](https://github.com/DIYBookScanner/spreads) - Modular workflow assistant for book digitization
- [Starter-Workflows](https://github.com/actions/starter-workflows) - Accelerating new GitHub Actions workflows
- [Step-Functions-Workflows-Collection](https://github.com/aws-samples/step-functions-workflows-collection) - Step Functions Workflows. Learn more at the website - https://serverlessland.com/workflows.
- [Streamflow](https://github.com/lmco/streamflow) - StreamFlow™ is a stream processing tool designed to help build and monitor processing workflows.
- [Super-Table](https://github.com/verbb/super-table) - Super-charge your Craft workflow using Super Table.
- [Swiftcurrent](https://github.com/wwt/SwiftCurrent) - A library for managing complex workflows in Swift
- [T2T-Polish](https://github.com/arangrhie/T2T-Polish) - Evaluation and polishing workflows for T2T genome assemblies
- [Tactic](https://github.com/Southpaw-TACTIC/TACTIC) - Open source remote collaboration platform used for configuring and deploying enterprise Workflow solutions.
- [Tangelo](https://github.com/sandbox-quantum/Tangelo) - A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.
- [Terraform-With-Circleci-Example](https://github.com/fedekau/terraform-with-circleci-example) - This is an example of automatic deployments of your infrastructure using terraform and CircleCI 2.0 workflows
- [Texera](https://github.com/Texera/texera) - Collaborative Machine-Learning-Centric Data Analytics Using Workflows
- [Tfc-Workflows-Tooling](https://github.com/hashicorp/tfc-workflows-tooling) - Tooling to automate HCP Terraform API Runs
- [Tideflow](https://github.com/tideflow-io/tideflow) - Building extensible automation. Tideflow is a Realtime, open source workflows execution and monitorization web application.
- [Trailblazer-Activity](https://github.com/trailblazer/trailblazer-activity) - Model business workflows and run them.
- [Txtai](https://github.com/neuml/txtai) - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
- [User_Guide](https://github.com/common-workflow-language/user_guide) - The CWL v1.0 - v1.2 user guide
- [Vanilla-Parcel-Boilerplate](https://github.com/bradtraversy/vanilla-parcel-boilerplate) - Simple starter workflow for building vanilla js apps with Parcel
- [Vault-Config-Operator](https://github.com/redhat-cop/vault-config-operator) - An operator to support Haschicorp Vault configuration workflows from within Kubernetes
- [Vector-Vein](https://github.com/AndersonBY/vector-vein) - No-code AI workflow. Drag and drop workflow nodes and use your workflow with your AI agents.
- [Venture](https://github.com/ksassnowski/venture) - Venture allows you to create and manage complex, async workflows in your Laravel apps.
- [Viewflow](https://github.com/viewflow/viewflow) - Reusable workflow library for Django
- [Vivliostyle-Cli](https://github.com/vivliostyle/vivliostyle-cli) - ⚒ Supercharge command-line publication workflow.
- [Vscode-Tips-Tricks](https://github.com/ahmadawais/VSCode-Tips-Tricks) - VSCode-Tips-Tricks Examples and Workflows to help you become a Visual Studio Code Power User →
- [Vue-Vscode-Snippets](https://github.com/sdras/vue-vscode-snippets) - These snippets were built to supercharge my workflow in the most seamless manner possible.
- [Waveterm](https://github.com/wavetermdev/waveterm) - An open-source, cross-platform terminal for seamless workflows
- [Windmill](https://github.com/windmill-labs/windmill) - Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x…
- [With](https://github.com/mchav/with) - Command prefixing for continuous workflow using a single tool.
- [Wordpressify](https://github.com/luangjokaj/wordpressify) - 🎈 Automate your WordPress development workflow.
- [Workflow](https://github.com/inveniosoftware-contrib/workflow) - Simple Pythonic Workflows
- [Workflow-Dispatch](https://github.com/benc-uk/workflow-dispatch) - A GitHub Action for triggering workflows, using the `workflow_dispatch` event
- [Workflow-Reactjs](https://github.com/fdaciuk/workflow-reactjs) - My workflow with ReactJS + Webpack 3+
- [Workflows](https://github.com/warpdotdev/workflows) - Workflows make it easy to browse, search, execute and share commands (or a series of commands)--without needing to leave your terminal.
- [Workflows](https://github.com/42coders/workflows) - The Workflow Package add Drag & Drop Workflows to your Laravel Application.
- [Workflows](https://github.com/AnswerDotAI/workflows) - Composite Actions workflows for use in fastai projects
- [Workflows](https://github.com/asottile/workflows) - reusable github workflows / actions
- [Workflows-Samples](https://github.com/GoogleCloudPlatform/workflows-samples) - This repository contains samples for Cloud Workflows.
- [Workflows_And_Package_Management](https://github.com/eanbit-rt/Workflows_and_package_management) - Reproducibility and package management  - workflow languages (CWL, Snakemake, Conda).
- [Yeoman](https://github.com/yeoman/yeoman) - Yeoman - a set of tools for automating development workflow
- [Youtrack-Workflows](https://github.com/JetBrains/youtrack-workflows) - YouTrack Custom Workflow Repository
- [Zapier](https://github.com/zapier/zapier-platform) - The SDK for you to build an integration on Zapier
- [Zorow](https://github.com/openmainframeproject/zorow) - z/OS Open Repository of Workflows (zorow), is an open source community dedicated to contributing and collaborating on z/OSMF workflows. 


---

## Contributing

💡 Contributions are welcome!  

Feel free to submit a pull request, suggest a new resource, or [open an issue](https://github.com/jim-schwoebel/awesome_ai_agents/issues/new). 

Make sure your submissions align with the following guidelines:

- Relevance to AI agents (e.g. category - using agents, learning agents, building agents)
- Clear documentation and accessibility (e.g. name + link + 1 sentence description).

### Contributors

Thanks to all the amazing contributors who have helped build and improve this list:

**Pull Request Contributors:**
- [@almogbot](https://github.com/almogbot) — Wolfpack
- [@ankitdn](https://github.com/ankitdn) — Vulert
- [@arielshad](https://github.com/arielshad) — Shep
- [@b1rdmania](https://github.com/b1rdmania) — GhostClaw
- [@Bartupso](https://github.com/Bartupso)
- [@bmdhodl](https://github.com/bmdhodl) — AgentGuard
- [@cafferychen777](https://github.com/cafferychen777) — ChatSpatial
- [@connerlambden](https://github.com/connerlambden) — BGPT MCP
- [@dancourse](https://github.com/dancourse) — OpenClaw
- [@daxaur](https://github.com/daxaur) — OpenPaw
- [@GitDakky](https://github.com/GitDakky) — Yoyo
- [@hanzili](https://github.com/hanzili) — Hanzi
- [@hashimwarren](https://github.com/hashimwarren) — Mastra AI
- [@hivemoot-forager](https://github.com/hivemoot-forager) — Hivemoot
- [@igorcosta](https://github.com/igorcosta) — Autohand Code CLI
- [@In3tinct](https://github.com/In3tinct) — Androidmeda update
- [@johnnyfish](https://github.com/johnnyfish) — OneCLI
- [@kantorcodes](https://github.com/kantorcodes) — Registry Broker
- [@keon](https://github.com/keon) — Lumen
- [@kody-w](https://github.com/kody-w) — Rappterbook
- [@L1AD](https://github.com/L1AD) — PolicyLayer
- [@m13v](https://github.com/m13v) — Fazm
- [@mantrahq502](https://github.com/mantrahq502) — Mantra
- [@minhoyoo-iotrust](https://github.com/minhoyoo-iotrust) — WAIaaS
- [@murdore](https://github.com/murdore) — NeuroLink
- [@NikitaDmitrieff](https://github.com/NikitaDmitrieff) — auto-co
- [@pinchwork](https://github.com/pinchwork) — Pinchwork
- [@PubliusAu](https://github.com/PubliusAu) — Tool/benchmark additions
- [@Quinnod345](https://github.com/Quinnod345) — context-engine-ai
- [@remete618](https://github.com/remete618) — widemem-ai
- [@RusDyn](https://github.com/RusDyn) — WritBase
- [@sagiyak-rgb](https://github.com/sagiyak-rgb) — TeamHero
- [@SKULLFIRE07](https://github.com/SKULLFIRE07) — Cortex
- [@superlowburn](https://github.com/superlowburn) — AgentHive
- [@The-Nexus-Guard](https://github.com/The-Nexus-Guard) — AIP Identity Protocol
- [@tigranbs](https://github.com/tigranbs) — Sayna.ai
- [@vishalveerareddy123](https://github.com/vishalveerareddy123) — Lynkr
- [@yubing744](https://github.com/yubing744) — Agent-Manager-Skill

**Issue Contributors:**
- [@AClerbois](https://github.com/AClerbois) — Microsoft Agent Framework ([#10](https://github.com/jim-schwoebel/awesome_ai_agents/issues/10))
- [@aro-brez](https://github.com/aro-brez) — 8OWLS / WeEvolve ([#41](https://github.com/jim-schwoebel/awesome_ai_agents/issues/41))
- [@atchl7](https://github.com/atchl7) — AI Conference Deadline ([#14](https://github.com/jim-schwoebel/awesome_ai_agents/issues/14))
- [@clawddar](https://github.com/clawddar) — MoltBook ([#28](https://github.com/jim-schwoebel/awesome_ai_agents/issues/28))
- [@dbhurley](https://github.com/dbhurley) — Plasmate ([#139](https://github.com/jim-schwoebel/awesome_ai_agents/issues/139))
- [@elliotllliu](https://github.com/elliotllliu) — AgentShield ([#94](https://github.com/jim-schwoebel/awesome_ai_agents/issues/94))
- [@EXboys](https://github.com/EXboys) — SkillLite ([#27](https://github.com/jim-schwoebel/awesome_ai_agents/issues/27))
- [@getmilodev](https://github.com/getmilodev) — Milo ([#83](https://github.com/jim-schwoebel/awesome_ai_agents/issues/83))
- [@IsaacGHX](https://github.com/IsaacGHX) — AgentFlow ([#7](https://github.com/jim-schwoebel/awesome_ai_agents/issues/7))
- [@jacobsd32-cpu](https://github.com/jacobsd32-cpu) — DJD Agent Score ([#60](https://github.com/jim-schwoebel/awesome_ai_agents/issues/60))
- [@johnxie](https://github.com/johnxie) — Taskade GitHub link ([#47](https://github.com/jim-schwoebel/awesome_ai_agents/issues/47))
- [@khadinakbaronline](https://github.com/khadinakbaronline) — Humanizer PRO ([#110](https://github.com/jim-schwoebel/awesome_ai_agents/issues/110))
- [@nicofains1](https://github.com/nicofains1) — AgentWatch ([#87](https://github.com/jim-schwoebel/awesome_ai_agents/issues/87))
- [@onestardao](https://github.com/onestardao) — WFGY ([#33](https://github.com/jim-schwoebel/awesome_ai_agents/issues/33))
- [@ori-cofounder](https://github.com/ori-cofounder) — GNAP ([#99](https://github.com/jim-schwoebel/awesome_ai_agents/issues/99))
- [@Robocular](https://github.com/Robocular) — Clawdia Agent Gateway ([#72](https://github.com/jim-schwoebel/awesome_ai_agents/issues/72))
- [@samirasadov28-code](https://github.com/samirasadov28-code) — StoryRoute ([#125](https://github.com/jim-schwoebel/awesome_ai_agents/issues/125))
- [@Sendersby](https://github.com/Sendersby) — TiOLi AGENTIS ([#131](https://github.com/jim-schwoebel/awesome_ai_agents/issues/131))
- [@zomux](https://github.com/zomux) — OpenAgents Network ([#52](https://github.com/jim-schwoebel/awesome_ai_agents/issues/52))

---

## Spread the Word

📢 Help us grow the **Awesome AI Agents** community by sharing this repo with your network! 

You can star the repo, subscribe to our newsletter, and share on LinkedIn and/or Twitter. 

More info on how to do this below.

### ⭐ Star the repo ⭐
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### LinkedIn
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> 🔗 [Check it out here!](https://github.com/jim-schwoebel/awesome_ai_agents)  
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> 🚀 Discover the **Awesome AI Agents** repo! 🤖 A curated collection of AI agents for automation, NLP, and more! Open-source & community-driven! 🌟  
> 🔗 [Check it out here!](https://github.com/jim-schwoebel/awesome_ai_agents)  
> #AI #MachineLearning #Automation #OpenSource #ArtificialIntelligence #Innovation

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## License

📜 This repository is licensed under the [Apache 2.0](LICENSE).  

Proudly open source to benefit the larger community, feel free to fork and extend!
