AIDotNet / OpenCowork

OpenCowork Open-source desktop platform for multi-agent collaboration Empowering AI agents with local tools, parallel teamwork, and seamless workplace integration. 中文文档 • Why OpenCowork • Features • Inspiration • Quick Start --- 🚀 Why OpenCowork? Traditional LLM interfaces are often "environment-isolated islands." Developers spend 50% of their time copy-pasting code, terminal logs, and file contents between the chat and their IDE. **OpenCowork solves this by providing:** • **Local Agency:** Agents can directly read/write files and execute shell commands with your permission. • **Context Awareness:** No more manual context feeding. Agents explore your codebase and logs autonomously. • **Task Orchestration:** Complex tasks (like "Refactor this module and update tests") are broken down and handled by specialized sub-agents. • **Human-in-the-loop:** You stay in control with a transparent tool-call approval system. 💡 Inspiration OpenCowork is deeply inspired by **Claude CoWork**. We believe the future of productivity lies in a "Co-Working" relationship where humans provide direction and AI handles the iterative execution, tool manipulation, and cross-platform communication. ✨ Key Features • **Multi-Agent Loop:** A lead agent coordinates parallel teammates to tackle multi-dimensional problems. • **Native Toolbox:** Built-in tools for File I/O, PowerShell/Bash, Code Search, and UI Previews. • **Messaging Integration:** Bridge your local agents to Feishu/Lark, DingTalk, Discord, and more. • **Persistence:** Cron-based scheduling for automated daily reports or monitoring tasks. • **Extensible Skills:** Load custom logic via simple Markdown-defined skills and agents. 🛠️ Quick Start Prerequisites: • Node.js >= 18 • npm >= 9 🏗️ Architecture Overview OpenCowork follows a three-process Electron architecture to ensure security and performance. 🌟 Use Cases • **Autonomous Coding:** Let agents refactor code, fix bugs, and write tests directly in your workspace. • **Automated Ops:** Schedule agents to monitor logs or system status and report to Feishu/Slack. • **Data Research:** Agents can scrape web data, process local CSVs, and generate visual reports. 📈 Star History 🤝 Contributing We welcome contributions! Please see our Development Guide for more details. 📜 License Licensed under the Apache License 2.0. --- If this project helps you, please give it a star. ⭐ Made with ❤️ by the **AIDotNet** Team