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OpenCowork

OpenCowork

Open-source desktop platform for multi-agent AI collaboration
Give AI agents local filesystem access, shell execution, and a rich toolbox — all on your machine.

OpenCowork Screenshot

中文文档WhyFeaturesArchitectureQuick StartDocs

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🚀 Why OpenCowork?

Most AI chat interfaces are isolated from your actual work environment. You spend half the time copy-pasting code, file contents, and terminal output between windows.

OpenCowork puts the agent on your machine:

  • Direct filesystem access — Agents read, write, and edit files in your project with your approval.
  • Shell execution — Run commands, check logs, and manage dev servers without leaving the conversation.
  • Full context awareness — Agents explore your codebase on their own. No manual context feeding.
  • Human-in-the-loop — Transparent tool-call approval keeps you in control at every step.

✨ Key Features

⚙️ Runtime

  • 4-layer Electron architecture — Main process, Preload bridge, Renderer UI (React 19), and provider-agnostic agent runtime.
  • TypeScript end-to-end — Type safety from SQLite through IPC to the UI.
  • SSH remote support — Agents operate on remote hosts transparently via SSH with xterm.js terminal integration.

🔄 4 Agent Modes

Every conversation picks the right mode:

Mode Purpose
clarify Ask grounded questions, resolve ambiguity, produce a reviewable plan before any code is written.
cowork Full agent: code search, file I/O, shell, browser, sub-agent delegation, and more.
code Pair programming — focused code generation and surgical editing with Monaco Editor integration.
acp Architecture-control lead: clarify, design, decompose, and delegate implementation to sub-agents.

🧰 Tool System

  • File & Shell — Read, Write, Edit, Glob, Grep, Bash (local and SSH).
  • Browser — Built-in webview with navigate, snapshot, click, type, and content extraction.
  • Task & Team — Decompose work with TaskCreate/TaskUpdate, spawn parallel sub-agents via Task, and orchestrate Agent Teams with TeamCreate/SendMessage/TeamStatus.
  • Plan Mode — EnterPlanMode → write plan → ExitPlanMode for structured, reviewable implementation plans.
  • Goal Tracking — Create, track, and complete session-level goals with token budgets.
  • Memory System — Layered memory: global SOUL.md / USER.md / MEMORY.md and per-project .agents/ overrides.
  • Cron Agent — Schedule recurring or one-shot background agent tasks with multi-channel delivery.
  • MCP Client — Connect to Model Context Protocol servers (stdio, SSE, streamable-HTTP) and expose active MCP tools directly to the agent.
  • Skill System — Install domain-specific skills from the Skills Market; loaded dynamically and surfaced to the agent at runtime.
  • Custom Extensions — Build plugins with declarative HTTP tools, sandboxed JS handlers, and custom HTML renderers.

💬 8 Messaging Plugins

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

⏰ Persistence

  • SQLite — Messages, sessions, projects, tasks, and plans survive restarts.
  • Additive schema — Columns are added when absent; no migration files, no data loss.

🌐 Internationalization

13+ languages including English, Chinese, Vietnamese, Turkish, and more — all via i18next.

🏗️ Architecture

Renderer (React 19)  ←→  Preload (contextBridge)  ←→  Main Process
     │                                                      │
  Agent Loop ─ Tool Registry ─ IPC ──────────→  IPC Handlers
     │                                              │
     ├─ File I/O, Grep/Glob, Bash              SQLite (better-sqlite3)
     ├─ Browser (webview)                       Shell / SSH (node-pty, ssh2)
     ├─ Sub-Agents & Teams                      Messaging Plugins
     ├─ Plan, Goal, Memory                      MCP Client
     ├─ Skills & Extensions                     Cron Scheduler
     └─ MCP Resources                           File System
  • Renderer — React 19 + Tailwind CSS + Zustand stores. Agent loop runs here, tools execute via IPC.
  • Preload — Narrow contextBridge API for secure main↔renderer communication.
  • Main Process — System access: SQLite, filesystem, shell, SSH, messaging plugins, cron, MCP client.
  • Agent Runtime — Provider-agnostic (js-agent-runtime.ts), streams responses, handles tool calls.

🛠️ 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 build:mac Build macOS .dmg/zip
npm run build:linux Build Linux .AppImage/.deb
npm run lint ESLint with cache
npm run typecheck TypeScript check (main + renderer)
npm run format Prettier auto-format

Data directory: ~/.open-cowork/ — SQLite database, config, agents, skills, commands, and prompts.

🌟 Use Cases

  • Autonomous coding — Agents refactor, debug, and write code directly in your workspace.
  • Scheduled ops — Cron agents monitor logs or system health and report to Feishu / DingTalk / Slack.
  • Data research — Scrape web pages, process CSVs, generate reports with charts.
  • Remote management — Operate on remote servers via SSH without leaving the app.

📖 Documentation

Full documentation at open-cowork.dev — built with Fumadocs + Next.js.

🤝 Contributing

We welcome contributions! See AGENTS.md for the development guide, coding conventions, and commit message format.

Special Thanks

RoutinAI

RoutinAI — Enterprise-grade unified LLM API gateway providing a single, type-safe interface to 100+ models across GPT, Claude, and Gemini families.

GeneralUpdate

GeneralUpdate — Cross-platform auto-update component for .NET applications.

💝 Sponsors

📜 License

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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