AI Skill Hub 强烈推荐:智能代理 是一款优质的Prompt模板。已获得 4.2k 颗 GitHub Star,AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的Prompt模板解决方案,这是一个值得深入了解的选择。
智能代理 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
智能代理 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
# Prompt 无需安装,直接复制使用 # 支持:Claude / ChatGPT / Gemini / 通义千问 等主流模型 # 使用步骤 # 1. 复制 Prompt 模板内容 # 2. 粘贴到 AI 对话框 # 3. 替换 [占位符] 为实际内容 # 4. 发送后获取结构化输出 # 获取原始文件 git clone https://github.com/Agenta-AI/agenta
# 粘贴到 Claude/ChatGPT 使用 # 示例 Prompt 结构: 你是一位 [角色],擅长 [领域]。 请根据以下要求完成任务: 任务背景:[描述背景] 具体要求:[详细说明] 输出格式:[期望格式] # 将 [] 内内容替换为实际需求
# agenta 配置说明 # 查看配置选项 agenta --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export AGENTA_CONFIG="/path/to/config.yml"
<p align="center"> <a href="https://agenta.ai?utm_source=github&utm_medium=referral&utm_campaign=readme"> <picture > <source width="275" media="(prefers-color-scheme: dark)" srcset="https://github.com/user-attachments/assets/97e31bfc-b1fc-4d19-b443-5aedf6029017" > <source width="275" media="(prefers-color-scheme: light)" srcset="https://github.com/user-attachments/assets/fdc5f23f-2095-4cfc-9511-14c6851c1262" > <img alt="Shows the logo of agenta" src="https://github.com/user-attachments/assets/fdc5f23f-2095-4cfc-9511-14c6851c1262" > </picture> </a> <div align="center"> <strong> <h1> The open-source workspace for your agents and your team </h1></strong>
Build AI coworkers by chatting. Share them with your team. Talk to them in Slack, WhatsApp or Telegram. --- <a href="https://youtu.be/7Wfvtv428Fs?si=bTBUoS9JJC2Crkxs"> <img width="900" alt="Watch the 2-minute Agenta product tour" src="./.github/images/readme/agenta-product-tour.png" /> </a>
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<p align="center"> <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a> <a href="./README.cn.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a> <a href="./README.ja.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a> <a href="./README.kr.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a> </p> <div align="center">
<a href="https://trendshift.io/repositories/46?utm_source=repository-badge&utm_medium=badge&utm_campaign=badge-repository-46" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/repositories/46" alt="Agenta-AI%2Fagenta | Trendshift" width="250" height="55"/></a> </div>
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<p align="center"> <img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="MIT license." /> <a href="https://agenta.ai/docs/?utm_source=github&utm_medium=referral&utm_campaign=readme"> <img src="https://img.shields.io/badge/Doc-online-green" alt="Doc"> </a> <a href="https://github.com/Agenta-AI/agenta/blob/main/CONTRIBUTING.md"> <img src="https://img.shields.io/badge/PRs-Welcome-brightgreen" alt="PRs welcome" /> </a> <a href="https://pypi.org/project/agenta/"> <img src="https://img.shields.io/pypi/dm/agenta" alt="PyPI - Downloads"> </a> </br> </p>
<p align="center"> <a href="https://join.slack.com/t/agenta-hq/shared_invite/zt-37pnbp5s6-mbBrPL863d_oLB61GSNFjw"> <img src="https://custom-icon-badges.demolab.com/badge/Slack-4A154B?logo=slack&logoColor=fff" alt="Join us on Slack" /> </a> <a href="https://www.linkedin.com/company/agenta-ai/"> <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff" alt="Follow Agenta on LinkedIn" /> </a> <a href="https://twitter.com/agenta_ai"> <img src="https://img.shields.io/twitter/follow/agenta_ai?style=social" height="28" alt="Follow @agenta_ai on X" /> </a> </p>
<p align="center"> <a href="https://cloud.agenta.ai?utm_source=github&utm_medium=referral&utm_campaign=readme"> <picture > <source width="200" media="(prefers-color-scheme: dark)" srcset="https://github.com/user-attachments/assets/a2069e7b-c3e0-4a5e-9e41-8ddc4660d1f2" > <source width="200" media="(prefers-color-scheme: light)" srcset="https://github.com/user-attachments/assets/a2069e7b-c3e0-4a5e-9e41-8ddc4660d1f2" > <img alt="Try Agenta Live Demo" src="https://github.com/user-attachments/assets/a2069e7b-c3e0-4a5e-9e41-8ddc4660d1f2" > </picture> </a> </p>
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Talk to your agents in Slack, Telegram or WhatsApp. Your team and your clients use agents from the chat apps they already have, with no new tool to learn. The web app works on your phone too.
Use your Claude or ChatGPT subscription. Run agents on the subscription you already pay for, instead of metered API billing.
Use any model. Hosted models through an API, or self-hosted models with Ollama. Pick a cheap model for routine jobs and a strong one where it matters, and see what each agent costs.
Agents that learn. Correct an agent once and it remembers. Agents keep memory, create and refine their own skills, and update their own instructions, so they need less supervision every week.
Automations. Run agents on a schedule or when an event occurs in a connected app. See the history of every run, and continue a run's session to fix or improve it.
Each agent has its own computer. A browser and a file system, so agents can work on any website and any file, not only on apps that have an integration.
Integrations. Connect your agents through MCP, or to more than 1,000 apps through Composio, including Gmail, Slack, Notion, and GitHub. Add your own secrets for the tools that need them.
Workspaces for you and your agents. Work together on files in a shared workspace: documents, research, a wiki, with comments and previews. Agents can also build small apps, like a board or a form, for your team to use.
Teams of agents. Agents can call other agents and hand work to each other, so one coworker can coordinate specialists.
Skills and templates. Start from templates, bring in skills from the agent ecosystem, and grow your own skill library over time.
Step-by-step videos. Each one builds a real agent from scratch, by chatting.
Build your first AI coworker · 10 min Connect your tools, give the agent a role, save a skill, and automate sales-call prep. |
Track your competitors while you sleep · 7 min Give an agent web search, schedule it for every Monday, and get the digest in Gmail. |
Build an inbound outreach agent with no code · 17 min Research every new lead, qualify it, and send a personalized reply. |
More tutorials on our YouTube channel.
These products are designed for building workflows with predefined steps. Agenta is designed for work that requires an agent to plan, use tools, and adapt its approach. Use a workflow builder for predictable processes. Use Agenta when the work needs judgment, or when you want the same agent to work with you in chat and run in the background.
高质量的LLM运营平台
该工具使用 NOASSERTION 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。
总体来看,智能代理 是一款质量优秀的Prompt模板,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | agenta |
| 原始描述 | 开源Prompt模板:The open-source LLMOps platform: prompt playground, prompt management, LLM evalu。⭐4.2k · TypeScript |
| Topics | LLMprompt评估TypeScript |
| GitHub | https://github.com/Agenta-AI/agenta |
| License | NOASSERTION |
| 语言 | TypeScript |
收录时间:2026-05-26 · 更新时间:2026-05-30 · License:NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端