DevAgentForge/Open-Claude-CoworkPublic

OpenSource Claude Cowork. A desktop AI assistant that helps you with programming, file management, and any task you can describe.

AI summary: Desktop application packaging frontier LLMs for agentic execution and complex workflow automation.

Stars
3.4K
+1 today
Forks
463
Watchers
14
Open issues
15
Open PRs
6
Contributors
~5
Commits
61
Branches
1

TypeScriptNo licenseCreated Jan 13, 2026Last push 4mo agoLatest release 0.1.0+7 stars this week+9 this month

Star history

since Feb 8, 2026
01K2K3KFeb 2026Apr 2026Jun 2026Aug 2026
3.4K stars as of Aug 6, 2026, tracked back to Feb 8, 2026. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

Contribution activity

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55 commits in the last yearLessMore

What Open-Claude-Cowork does

Open Claude Cowork (by DevAgentForge) provides an environment designed to harness frontier language models for state-of-the-art agentic execution. It focuses on integrating models capable of autonomous planning, tool usage, and end-to-end workflow completion. The platform is optimized for software engineering tasks, providing a structured interface for the agent to iteratively improve its own performance across various benchmarks like SWE-Pro and Terminal Bench.

Software engineers and AI researchers interested in deploying state-of-the-art, autonomous coding agents capable of complex, multi-step problem solving.

  • Frontier LLM integration: Built specifically to leverage advanced models capable of deep agentic execution and reasoning.
  • Autonomous workflow completion: Allows agents to plan multi-step tasks, execute tools, and verify outcomes independently.
  • Iterative self-improvement: Supports workflows where the model analyzes its own failures and refines its approach.
  • Cross-platform desktop app: Provides pre-compiled binaries for macOS (Apple Silicon) and other major operating systems.
  • Benchmark optimization: Engineered to perform strongly on standardized software engineering and terminal agent evaluations.

Where teams use it

Autonomous bug fixing

Engineering teams assign complex repository issues to the agent, which plans the fix, edits the code, and verifies it.

Iterative software development

Developers use the tool to generate entire features, relying on the agent's ability to self-correct during the coding process.

Agentic benchmarking

Researchers deploy the application to evaluate frontier model performance against industry standards like SWE-Pro.

Local desktop integration

Users install the native macOS application to run powerful autonomous workflows directly from their desktop environment.

Getting started: bun run dist:mac-arm64 # macOS Apple Silicon (M1/M2/M3)

README

main branch

Open Claude Cowork

Version Platform

简体中文

❤️ Collaboration

MiniMax

MiniMax M2.7 is a frontier LLM built for agentic execution, SOTA performance, and real-world productivity—it plans, codes, uses tools, and completes complex workflows end-to-end, then iteratively improves its own performance. It delivers state-of-the-art results on software engineering and agent benchmarks (e.g., ~56% SWE-Pro, strong performance across VIBE, Terminal Bench, and agent evaluations) while extending that same capability into office work—creating and editing high-quality Word, Excel, and PowerPoint outputs with deliverable-level accuracy . Designed for long-horizon tasks, M2.7 combines deep reasoning, tool orchestration, and reliable multi-step execution, pushing beyond static models toward systems that continuously optimize how they work across both technical and everyday productivity workflows.

Click to get an exclusive 12% off the MiniMax Token Plan!

Agent Cowork

Agent Cowork is an open-source alternative to Claude Cowork — a desktop AI assistant that helps with programming, file management, and any task you can describe.

Not just a GUI.
A real AI collaboration partner.
No need to learn the Claude Agent SDK — just create tasks and choose execution paths.

✨ Why Agent Cowork?

Claude Code is powerful — but it only runs in the terminal.

That means:

  • ❌ No visual feedback for complex tasks
  • ❌ Hard to track multiple sessions
  • ❌ Tool outputs are inconvenient to inspect

Agent Cowork solves these problems:

  • 🖥️ Runs as a native desktop application
  • 🤖 Acts as your AI collaboration partner for any task
  • 🔁 Reuses your existing ~/.claude/settings.json
  • No development environment or Claude Code installation required.

🚀 Quick Start

Option 1: Download a Release

👉 Go to Releases

Option 2: Build from Source

Prerequisites

bash

Clone the repository

git clone https://github.com/DevAgentForge/agent-cowork.git cd agent-cowork

Install dependencies

bun install

Run in development mode

bun run dev

Or build production binaries

bun run dist:mac-arm64    # macOS Apple Silicon (M1/M2/M3)
bun run dist:mac-x64      # macOS Intel
bun run dist:win          # Windows
bun run dist:linux        # Linux

Example

An example of organizing a local folder:

agent-cowork-demo.mp4

🛠 Development

bash

Start development server (hot reload)

bun run dev

Type checking / build

bun run build

🗺 Roadmap

Planned features:

todo

🤝 Contributing

Pull requests are welcome.

  1. Fork this repository
  2. Create your feature branch
  3. Commit your changes
  4. Open a Pull Request

Please make only minimal changes.

⭐ Final Words

If you’ve ever wanted:

  • A persistent desktop AI collaboration partner
  • Visual insight into how Claude works
  • Convenient session management across projects

This project is built for you.

👉 If it helps you, please give it a Star.

License

MIT

View on GitHub

Recent activity

commits and pull requests

Releases and announcements

3 total
  1. Agent Cowork 0.1.00.1.0Jan 19, 20264K downloads

    There is no need to install the nodejs or Claude Code, just config the API supports the anthropic format. 不需要安装 node 或者 Claude Code,配置支持 anthropic 格式的 API 就行。

  2. Agent Cowork 0.0.2apple-siliconJan 14, 2026960 downloads
  3. Agent Cowork 0.0.2releaseJan 18, 2026573 downloads

Code frequency

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+19.6K lines added, -577 removed over the last year.

Commits per week

last 52 weeks
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55 commits in the last 52 weeks.

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Commit volume by weekday and hour (UTC). Larger dots mean more commits.
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