经 AI Skill Hub 精选评估，EpicStaff 获评「推荐使用」。这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色，AI 评分 7.5 分，适合有一定技术背景的用户使用。
EpicStaff 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排，将复杂的多步骤任务拆解为清晰的自动化流程，实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成，适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
EpicStaff 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排，将复杂的多步骤任务拆解为清晰的自动化流程，实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成，适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一：pip 安装（推荐）
pip install epicstaff
# 方式二：虚拟环境安装（推荐生产环境）
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install epicstaff
# 方式三：从源码安装（获取最新功能）
git clone https://github.com/EpicStaff/EpicStaff
cd EpicStaff
pip install -e .
# 验证安装
python -c "import epicstaff; print('安装成功')"
# 命令行使用
epicstaff --help
# 基本用法
epicstaff input_file -o output_file
# Python 代码中调用
import epicstaff
# 示例
result = epicstaff.process("input")
print(result)
# epicstaff 配置文件示例（config.yml） app: name: "epicstaff" debug: false log_level: "INFO" # 运行时指定配置文件 epicstaff --config config.yml # 或通过环境变量配置 export EPICSTAFF_API_KEY="your-key" export EPICSTAFF_OUTPUT_DIR="./output"
<details> <summary>Key features For AI Engineers</summary>
We built a foundation for robust ai agent orchestration and Open Source Agent Orchestration. You can design ai agent orchestration for complex workflows and deploy autonomous AI agents with complete control over the execution logic. The architecture natively supports creating a dependable rag pipeline and managing advanced RAG workflows without external vector database dependencies. For developers exploring the code, we ensure stable execution to prevent the notorious ralph wiggum loop, and you might even spot a ralph wiggum github reference in our test repositories.
| Feature | Technical Description |
|---|---|
| Node UI | Construct complex workflows using a node-based architecture. Design execution graphs with various specialized nodes to define exact logic paths. |
| LLM & Embedder Providers | Native support for switching between major providers like OpenAI and Anthropic, or integrate your own custom local LLMs and embedding models. |
| Retrieval-Augmented Generation (RAG) | Upload documents, create knowledge collections and customize index parameters directly in the UI. Index data using strategies like Naive Vector Search or GraphRAG to enhance agent context. |
| Custom Tools | Write custom Python functions that agents can invoke dynamically. Build your own integrations, and the orchestration engine will automatically evaluate and use them during execution. |
| Code Execution | Inject and run Python code within nodes. Read, modify, and manipulate flow variables dynamically to handle custom logic during workflow traversal. |
| Flow Messages | Debug flow execution seamlessly. Read detailed, structured state messages and execution logs for each specific node in real-time. |
| Webhooks | Trigger flow executions programmatically. Initiate workflows via HTTP POST payloads from any external system, application, or custom source. |
| Persistent Agent Memory | Dual-Layer Memory: Short-term window context combined with long-term stateful memory across multiple sessions, stored in PostgreSQL (with pgvector) and Redis. |
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<details> <summary>Key Features For Business</summary>
As an ai agent management platform, EpicStaff is engineered to deliver enterprise workflow automation and scalable business process automation. It functions as an Autonomous Agent Builder that acts as a drag and drop automation tool for cross-functional teams. By utilizing sophisticated ai workflow management and built-in ai agent assist, organizations can drastically improve their AI CX (ai customer experience). Being a versatile low code platform, it bridges the gap between technical operations and business strategy.
| Feature | Strategic Business Value |
|---|---|
| Visual Workflow Builder | A low-code, drag-and-drop interface, automate any process without any deep tech knowledge. You can build, validate, and visually debug multi-step workflows using our pre-built node library. |
| Multi-Agent Collaboration | Build a digital crew. Let multiple AI agents work together to automate entire departments, decreasing operational costs and saving time. |
| Enterprise Security | Secure your organization with access controls. Create custom roles and assign specific permissions to safely manage your organisation's workflows and data. |
</details>
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Choose your operating system below, open your Terminal (or PowerShell on Windows), and paste the entire block of code. This command will automatically download EpicStaff, configure the database, and start the system.
#### 🪟 Windows (PowerShell)
git clone https://github.com/EpicStaff/EpicStaff.git; cd EpicStaff/src; $savefiles = "$HOME/savefiles"; $file = ".env"; (Get-Content $file) -replace "CREW_SAVEFILES_PATH=/c/savefiles", "CREW_SAVEFILES_PATH=$savefiles" | Set-Content $file; docker volume create sandbox_venvs; docker volume create crew_pgdata; docker volume create graph_data; docker volume create crew_config; docker volume create media_data; docker network create mcp-network; docker-compose up --buildgit clone -b main https://github.com/EpicStaff/EpicStaff.git && cd EpicStaff && savefiles="$HOME/savefiles" && sed -i '' "s|CREW_SAVEFILES_PATH=/c/savefiles|CREW_SAVEFILES_PATH=$savefiles|" src/.env && docker volume create sandbox_venvs && docker volume create crew_pgdata && docker volume create graph_data && docker volume create crew_config && docker volume create media_data && docker network create mcp-network && cd src && docker-compose up --buildgit clone -b main https://github.com/EpicStaff/EpicStaff.git && cd EpicStaff && savefiles="$HOME/savefiles" && sed -i "s|CREW_SAVEFILES_PATH=/c/savefiles|CREW_SAVEFILES_PATH=$savefiles|" src/.env && docker volume create sandbox_venvs && docker volume create crew_pgdata && docker volume create graph_data && docker volume create crew_config && docker volume create media_data && docker network create mcp-network && cd src && docker-compose up --buildOnce running, open http://localhost to start building.
<details> <summary>Alternative Setup Options</summary>
EpicStaff can be configured and launched using alternative setup methods:
These methods are optional and intended for users requiring advanced control over their environment.
For more details </details>
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Deploy self-hosted AI agents in 30 seconds. EpicStaff is designed to run securely on your own infrastructure. Follow these two simple steps to get the application running on your computer.
Open Source Agent Orchestration Framework for Django & Python </div>
<a id="readme-top"></a>
</div>
<p align="center"> <br /> <a href="https://www.epicstaff.ai">Website</a> • <a href="https://github.com/EpicStaff/EpicStaff/wiki">Wiki</a> • <a href="#-quick-start">Quick Start</a> • <a href="#key-features">Key Features</a> • <a href="https://github.com/EpicStaff/EpicStaff/issues">Report Bug</a> </div>
<p align="center"> <b>Production-Grade Agentic UI for Multi-Agent Orchestration</b> <br /> EpicStaff is an Enterprise-ready Agentic UI platform that simplifies multi-agent orchestration by hiding complexity behind a visual workflow builder while maintaining full code control with a Django backend. <div align="center"> Our core philosophy: We hide the complexity, not the logic.
⭐ Star us on GitHub to support the Agentic UI movement! </div>
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高质量的开源AI工作流平台，易于使用和扩展
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。
AI Skill Hub 点评：EpicStaff 的核心功能完整，质量良好。对于自动化工程师和运维人员来说，这是一个值得纳入个人工具库的选择。建议先在非生产环境试用，再逐步推广。
| 原始名称 | EpicStaff |
| 原始描述 | 开源AI工作流：Open-source platform for building AI agents with a visual UI and modular backend。⭐197 · Python |
| Topics | aiaiagentsguipython |
| GitHub | https://github.com/EpicStaff/EpicStaff |
| License | NOASSERTION |
| 语言 | Python |
收录时间：2026-05-25 · 更新时间：2026-05-26 · License：NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。
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