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飞书多 Agent 协作方案 - 基于 OpenClaw

13
0
100% credibility
Found Mar 03, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project sets up multiple independent AI assistants powered by one Feishu bot, each in separate group chats with the ability to communicate and collaborate.

How It Works

1
🦞 Discover AI team for Feishu

You hear about a clever way to run multiple smart helpers inside one Feishu bot, each handling different tasks in their own chats.

2
🔗 Set up your Feishu bot

You create a simple bot in your Feishu workspace and grant it basic permissions to chat and manage groups.

3
⚙️ Connect to AI helpers

You link the bot to your AI setup so it can power intelligent conversations.

4
🚀 Launch your first assistant

You start your main helper and chat with it privately to see it respond smartly.

5
Add more specialized helpers

You use a quick tool to create new assistants like a coder, researcher, or analyst, each with their own skills.

6
💬 Give each their own group chat

Each helper gets a dedicated group where you can talk to them without interference.

7
🤝 Let them team up

You turn on chatting between helpers so they can share info and work together on big tasks.

🎉 Your AI team shines

Now your assistants handle coding, research, reports, and more, making your workday easier and fun.

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Star Growth

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AI-Generated Review

What is feishu-multi-agent?

This Python project builds a multi-agent system on Feishu using OpenClaw, letting one bot drive several independent AI agents across dedicated group chats. Each agent gets its own identity, memory, tool permissions, and workspace, solving the chaos of juggling multiple bots by isolating tasks like coding or analysis while enabling agent-to-agent messaging for collaboration. Developers get a CLI script to spin up new agents, auto-create chats, and update configs in seconds.

Why is it gaining traction?

It stands out from single-agent GitHub repos like Copilot or Claude setups by delivering true multi-agent workflows in Feishu chats, with built-in isolation, timed tasks, and doc editing—features absent in most agent GitHub actions or OpenAI wrappers. The automation script handles Feishu API quirks and OpenClaw bindings, slashing setup time versus manual configs. Devs dig the preset roles for coders, traders, or scouts, making it a quick win over fragmented agent GitHub code experiments.

Who should use this?

Feishu-heavy teams building agent workflows, like ops leads automating intel gathering or traders needing market scouts alongside code agents. Python devs on OpenClaw experimenting with multi-agent GitHub Copilot-style tools in chat, or Microsoft ecosystem folks extending Copilot Reddit hacks to enterprise collab. Skip if you're not in Feishu or prefer IDE agents like Copilot in IntelliJ.

Verdict

Worth a spin for Feishu users wanting multi-agent setups, with solid docs and presets offsetting its early maturity—13 stars and 1.0% credibility score scream prototype, but the script and troubleshooting guides make it production-ready faster than most agent GitHub repos. Fork and iterate if it fits.

(198 words)

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