FISHers6

FISHers6 / clawBro

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🦀 Let Coding CLI Agents Work Like OpenClaw in Chat and collaborating as a team at all times. 让 Coding CLI Agents 像 OpenClaw 一样随时在IM App中工作，团队协作模式，真正的干活！

46
11
69% credibility
Found Mar 21, 2026 at 46 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

clawBro is a Rust-based framework that orchestrates multiple AI coding agents like Claude, Codex, and Gemini to collaborate in solo, multi-agent, or team modes within chat platforms such as Lark and DingTalk.

How It Works

1
🔍 Discover clawBro

You hear about clawBro, a helpful tool that lets AI coding buddies work as a team in your everyday chat apps.

2
📥 Get it set up

Download and install with a simple command, like adding a new app to your computer.

3
⚙️ Prepare your workspace

Run a quick setup to create your personal space for AI helpers and chats.

4
🤝 Build your dream team

Pick solo helper, multi buddies, or full team mode, and connect your favorite AI thinkers like Claude or Gemini.

5
💬 Link your chats

Hook it up to apps like Lark or DingTalk so your team responds right in group conversations.

6
▶️ Launch and chat

Start the service and begin talking to your AI team in chats—they plan, code, review, and deliver together.

🎉 Projects come alive

Watch your AI team build full apps, review code, or research deeply, all collaborating smoothly in your chats.

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Star Growth

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AI-Generated Review

What is clawBro?

clawBro is a Rust CLI that unifies coding agents like Claude Code, Codex, Qwen, and Gemini into collaborative workflows, letting them run in Lark, DingTalk chats, or WebSocket like OpenClaw but with team modes. It solves the hassle of juggling separate agent CLIs by providing one gateway for solo runs, multi-agent mentions, or lead-specialist teams that handle full-stack builds and PR reviews. Install via `cargo install clawbro` or npm, run `clawbro setup` and `clawbro serve` to get agents chatting in group rooms with memory and scheduling.

Why is it gaining traction?

It stands out by turning IM apps into always-on AI workbenches—mention @planner or @coder in DingTalk, and agents delegate via milestones without tool-switching. Features like `/remember` for habits, cron jobs (`every 30m check status`), and multi-IM persistence hook devs tired of one-shot queries, especially in team settings where github let's build from here meets let's do coding with computer. Rust efficiency keeps it lightweight for long-running sessions.

Who should use this?

Engineering teams on Lark/DingTalk running AI sprints for app prototypes or PR reviews, where a lead agent coordinates specialists. Solo researchers splitting deep lit reviews or report writing across @researcher and @critic roles. Classroom groups or study teams experimenting with role-play coding, like werewolf-style debates or TRPG workflows in chat.

Verdict

Worth trying for IM-integrated agent teams if you're on Anthropic/Qwen providers—solid multilingual docs and quick setup shine, but 46 stars and 0.699999988079071% credibility score signal early-stage risks; prototype locally before production. Pairs well with github let's do automation flows.

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