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Lark Bridge settings for openclaw

19
3
100% credibility
Found Feb 08, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

This project provides a local bridge to connect Clawdbot AI agents directly to Feishu (Lark) messaging for interactive chats supporting text, voice, images, and files without public servers.

How It Works

1
👀 Discover the bridge

You learn about a simple way to bring your Clawdbot AI helper into Feishu chats without needing public websites or extra tools.

2
🏢 Create a chat bot in Feishu

In your Feishu workspace, set up a basic bot that can listen to messages in private chats and groups.

3
📥 Get the connector on your computer

Download the free connector program that links everything together.

4
🔗 Link your bot and AI helper

Enter a few private codes to securely connect your Feishu bot to your local AI agent.

5
▶️ Turn on the connector

Start the connector while your AI helper is running locally, and it quietly connects to Feishu.

💬 Enjoy AI chats in Feishu

Send text, voice notes, pictures, or files in Feishu, and your AI responds smartly with images, files, or voice right in the chat.

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AI-Generated Review

What is openclawLarkBridge?

openclawLarkBridge is a JavaScript tool that bridges Clawdbot AI agents to Lark (Feishu) chats, letting users converse via text, voice, images, or files without public servers, domains, or ngrok. Run it on your local machine with Node.js; it uses WebSocket connections to Lark's cloud for inbound messages and forwards them to your Clawdbot Gateway. You get Markdown replies, Whisper voice recognition, TTS output, image generation like "draw a cat," picture analysis, PDF/Word parsing, and file sending—all in private or group Lark channels.

Why is it gaining traction?

It skips infrastructure headaches with Lark's long-connection WebSocket mode and local bridging, perfect for github lark integration or lark github webhook setups. Standout user perks include smart group filtering (only @mentions or questions trigger responses), optional AI API keys for voice/pics, and CLI-like npm start for instant deployment. JavaScript simplicity hooks devs avoiding Python-heavy lark github parser alternatives.

Who should use this?

AI ops teams at Feishu-using companies building internal Clawdbot bots for query handling or report generation. Group admins needing Lark bridge for voice queries or file uploads in team chats. Backend devs tired of hosting Lark SDK github bots on cloud infra.

Verdict

Solid for Clawdbot + Lark stacks, with thorough docs, env configs, and systemd setup—but 16 stars and 1.0% credibility score signal early maturity and low adoption. Prototype it locally if it fits; skip for production without more testing.

(187 words)

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