Clawdbot Feishu: AI Agent Integration for Feishu (Lark)
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Clawdbot Feishu: AI Agent Integration for Feishu (Lark)

Clawdbot Feishu: AI Agent Integration for Feishu (Lark)

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README

Project documentation from GitHub

Clawdbot Feishu: Your AI Agent for the Feishu Workspace

Ever feel like you're constantly switching tabs between your team's chat platform and your AI tools? What if you could bring a capable AI assistant directly into your Feishu (or Lark) conversations? That's the gap Clawdbot Feishu aims to fill.

It's an open-source project that integrates a powerful AI agent framework into Feishu, turning your group chats or project channels into a space where you can query information, automate tasks, and get AI-powered help without leaving the app. It's about making AI assistance a seamless part of your daily workflow.

What It Does

Clawdbot Feishu is a bridge. It connects the Feishu platform to the Clawdbot AI agent framework. Once deployed, you can add this "bot" as a member to any Feishu chat. From there, you or your team can interact with it directly through messages. It can understand natural language requests, process them using its AI capabilities, and post useful responses back into the thread. Think of it as deploying a helpful, knowledgeable teammate that's available 24/7 in your chosen channels.

Why It's Cool

The clever part is in the integration. Instead of being a simple, canned-response chatbot, it leverages an underlying AI agent framework (Clawdbot). This means it has the potential to be much more versatile—it could be configured to answer questions based on your internal documentation, help debug code snippets shared in the chat, summarize long discussion threads, or even trigger external workflows through APIs.

It's also self-hosted and open-source, which is a big deal for teams concerned with data privacy and customization. You control the deployment, you control the data, and you can tweak or extend its capabilities to fit your team's specific needs. It's a developer's approach to building an in-house AI assistant.

How to Try It

Ready to bring it into your Feishu workspace? The project is hosted on GitHub and includes the instructions you'll need to get it running.

  1. Head over to the repository: github.com/m1heng/clawdbot-feishu
  2. Check out the README. It will guide you through the prerequisites, which typically involve:
    • A Feishu/Lark developer account to create an app and bot.
    • A server or cloud platform (like Railway, Fly.io, or your own infrastructure) to host the bot backend.
    • API keys for the AI model you want to use (e.g., OpenAI, Anthropic).
  3. Follow the deployment steps to configure your Feishu app, set your environment variables, and launch the service.

The documentation walks you through the process. It's a standard setup for a backend service, so if you've deployed a webhook-based integration before, you'll feel right at home.

Final Thoughts

Clawdbot Fei

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Last updated: Apr 16, 2026