fastclaw-ai

fastclaw-ai / weclaw

Public

Connect to any agents with WeChat ClawBot.

clawbot openclaw wechat-agent-sdk wechat-clawbot wechat-openclaw
207
19
100% credibility
Found Mar 23, 2026 at 207 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

WeClaw bridges WeChat messaging to local AI agents for automated, intelligent replies.

How It Works

1
🔍 Discover WeClaw

You hear about WeClaw, a handy tool that turns your WeChat chats into smart conversations powered by your favorite AI helpers.

2
📥 Get it set up

Copy and paste one simple line into your computer's chat window to bring WeClaw home.

3
📱 Link your WeChat

Scan a quick picture code with your phone's WeChat app, and just like that, it's connected.

4
🤖 AI friends join in

WeClaw spots the AI tools already on your computer and gets them ready to chat.

5
💬 Start talking

Send a message like 'hello' in WeChat, and watch your AI buddy reply with clever thoughts.

6
⚙️ Pick your favorites

Switch between different AI personalities right in chat with simple shortcuts.

🎉 Smart chats forever

Now every WeChat conversation feels alive and helpful, with AI always at your fingertips.

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Star Growth

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AI-Generated Review

What is weclaw?

WeClaw is a lightweight Go daemon that connects WeChat to local AI agents like Claude, Codex, Gemini, Kimi, and OpenClaw. Scan a QR code once to log in, and it auto-detects agents on your machine, routing messages via commands like `/claude explain this` or `/status` for agent info. Think of it as connecting GitHub to ChatGPT or Gemini connect GitHub—bridging WeChat chats to any agent for seamless replies, including media from agent-generated images.

Why is it gaining traction?

Zero-config setup with one-line curl install, background mode (CLI: `weclaw start/stop`), and proactive messaging via `weclaw send` or HTTP API at `127.0.0.1:18011`. Handles markdown conversion to plain text, downloads/uploads images/videos/files to WeChat CDN, and supports agent aliases (`/cc` for Claude) plus multi-account logins. Unlike basic bots, it reuses sessions for fast context-aware chats without per-message logins.

Who should use this?

Developers running local AI agents (Claude ACP, Codex CLI) who rely on WeChat for work chats, like Chinese teams debugging code or sharing prototypes. Ideal for AI tinkerers wanting to connect anything—like connect GitHub to VSCode or IntelliJ—directly in group convos, or remote workers piping agent outputs to colleagues.

Verdict

Grab it for WeChat-AI workflows: 207 stars, polished docs, Docker support, and MIT license make it instantly usable. But 1.0% credibility score and modest traction mean it's early—run in foreground first, watch for edge cases in production.

(198 words)

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