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OpenCowork

OpenCowork

Open-source desktop platform for multi-agent AI collaboration
Empowering AI agents with local tools, parallel teamwork, and seamless workplace integration.

OpenCowork Screenshot

δΈ­ζ–‡ζ–‡ζ‘£ β€’ Why OpenCowork β€’ Features β€’ Architecture β€’ Quick Start

License Version Stars Forks GitCode Stars


πŸš€ 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 β€” Agents can directly read/write files and execute shell commands with your permission.
  • Context Awareness β€” No more manual context feeding. Agents explore your codebase and logs autonomously.
  • Task Orchestration β€” Complex tasks ("Refactor this module and update tests") are broken down and handled by specialized sub-agents.
  • Human-in-the-loop β€” You stay in control with a transparent tool-call approval system.

πŸ’‘ 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

βš™οΈ Core Runtime

  • 4-layer Electron architecture β€” Main process, Preload bridge, Renderer UI, and Agent runtime running in main process.
  • Provider-agnostic β€” Works with any LLM provider; bring your own model.
  • TypeScript throughout β€” End-to-end type safety from database to UI.

πŸ”„ 5 Session Modes

Every conversation chooses the right mode for the task:

  • chat β€” Conversational Q&A, no tool access.
  • clarify β€” Ask questions to refine vague requirements before execution.
  • cowork β€” Full agent mode: code search, file I/O, shell, and sub-agent delegation.
  • code β€” Focused code generation and editing with Monaco Editor integration.
  • acp β€” Autonomous coding pipeline: plan, implement, review autonomously.

🧰 Native Toolbox & Rich Skills

  • Built-in tools β€” File I/O, Shell (bash/powershell), Code Search (glob/grep), Web Scraping, OCR, Excel/Word/PDF processing.
  • Extensible Skills β€” Load domain-specific capabilities via Markdown-defined skills:
    • 1RPA β€” Supplier invoice upload for SRM systems.
    • CSV Pipeline β€” Filter, join, aggregate, and transform tabular data.
    • Document Suite β€” Create & edit DOCX, XLSX, PDF with tracked changes and formatting.
    • Web Scraper β€” Extract structured content from live pages.
    • Image OCR β€” Read text from screenshots and scanned documents.
    • Email Drafter β€” Compose professional correspondence from templates.
    • WeChat UI Sender β€” Send messages via desktop WeChat automation.

πŸ’¬ 8 Workplace Messaging Plugins

Bridge your local agents to any messaging platform:

Platform Support
Feishu / Lark βœ…
DingTalk βœ…
Discord βœ…
QQ βœ…
Telegram βœ…
WeCom (WeChat Work) βœ…
Weixin (Official Account) βœ…
WhatsApp βœ…

⏰ Persistence & Cron Agent

  • SQLite persistence β€” Messages, sessions, projects, tasks, and plans survive restarts.
  • Cron scheduling β€” Schedule agents for daily reports, log monitoring, or any recurring task.
  • Multi-channel delivery β€” Results can be delivered via desktop notification or any messaging plugin.

πŸ› οΈ Quick Start

Prerequisites

  • Node.js >= 18
  • npm >= 9
git clone https://github.com/AIDotNet/OpenCowork.git
cd OpenCowork
npm install
npm run dev

Key Commands

Command Description
npm run dev Start Electron + Vite with hot reload
npm run build Typecheck then build for production
npm run build:win Build Windows installer
npm run lint ESLint with cache
npm run typecheck TypeScript check (main + renderer)
npm run format Prettier auto-format

Data directory: ~/.open-cowork/ β€” contains SQLite database (data.db), config, agents, commands, and prompts.

πŸ—οΈ Architecture

OpenCowork follows a 4-layer Electron architecture for security and performance.

graph TB
  subgraph "Renderer β€” React 19 UI"
    A[React UI] --> B[Agent Loop]
    B --> C[Tool System]
    C --> C1[File I/O]
    C --> C2[Shell]
    C --> C3[Code Search]
    C --> C4[Sub-Agents]
  end

  subgraph "Preload β€” Secure Bridge"
    D[contextBridge API]
  end

  subgraph "Main Process β€” System Access"
    E[IPC Handlers]
    F[SQLite / File System]
    G[Shell / SSH]
    H[Messaging Plugins]
    I[Cron Agent]
  end

  subgraph "Agent Runtime β€” Main Process"
    J[js-agent-runtime.ts]
    K[MCP Client]
    L[LLM Provider Abstraction]
  end

  A -.->|ipcRenderer.invoke| D
  D -.->|ipcMain.handle| E
  E --> F
  E --> G
  E --> H
  E --> I
  A -.->|Direct Call| J
  J --> K
  J --> L
Loading
  • Renderer β€” React 19 UI, agent loop, and tool system.
  • Preload β€” Secure contextBridge with a narrow API surface.
  • Main Process β€” IPC handlers, SQLite, filesystem, shell, SSH, plugins.
  • Agent Runtime β€” Provider-agnostic runtime (js-agent-runtime.ts) with MCP client support.

🌟 Use Cases

  • Autonomous Coding β€” Let agents refactor code, fix bugs, and write tests directly in your workspace.
  • Automated Ops β€” Schedule agents to monitor logs or system status and report to Feishu/Slack.
  • Data Research β€” Agents can scrape web data, process local CSVs, and generate visual reports.

πŸ”— Ecosystem Pairing

Codex-Manager

  • Repository: qxcnm/Codex-Manager
  • Recommended pairing: use Codex-Manager as the management or orchestration entry point for Codex-centric workflows, while OpenCowork handles local file operations, multi-agent execution, workplace messaging, and desktop automation.
  • Best for: teams that want to separate task management and workflow organization from local execution and office integration.
  • A simple way to think about it: Codex-Manager organizes the work, OpenCowork executes it in the real workspace.

πŸ“ˆ Star History

Star History Chart

🀝 Contributing

We welcome contributions! Please see our Development Guide for more details.

Special thanks

RoutinAI

[RoutinAI](https://routin.ai/) is an enterprise-grade unified LLM API gateway that provides a single, type-safe interface to access over 100 leading large language models from the GPT, Claude, and Gemini families, including models such as gpt-5.4, claude-opus-4-6, and gemini-3.1-pro-preview. It eliminates the complexity of managing multiple AI vendors by providing zero-latency edge routing, seamless model switching without code modifications, unified billing, and centralized governance with spending caps and access policies.

πŸ’ Sponsors

πŸ“œ License

Licensed under the Apache License 2.0.


If this project helps you, please give it a star. ⭐

Made with ❀️ by the AIDotNet Team

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Open Cowork - Opensource Claude Cowork for Windows & macOS & Linux.

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