❤️ Collaboration

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.

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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

• Bun or Node.js 22+
• Claude Code installed and authenticated

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:

https://github.com/user-attachments/assets/8ce58c8b-4024-4c01-82ee-f8d8ed6d4bba

🛠 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