formulahendry

formulahendry / wechat-acp

Public

Bridge WeChat chat messages to any ACP-compatible AI agent

www.npmjs.compackagewechat-acp acp agent-client-protocol agentclientprotocol wechat-bot weixin
72
9
100% credibility
Found Mar 24, 2026 at 72 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A bridge that forwards private WeChat messages to compatible AI assistants and sends their replies back automatically after QR login.

How It Works

1
💡 Discover WeChat AI Bridge

You learn about a handy tool that lets smart AI helpers chat back in your WeChat private messages.

2
🚀 Launch the Helper

Start the program with a simple command, and it prepares to connect your WeChat to AI.

3
📱 Scan QR Code

A QR code shows up on screen – snap it with your phone's WeChat scanner to link everything securely on first try.

4
🤖 Choose AI Friend

Pick a ready AI like Copilot or Claude from the list, and it sets up instantly.

5
👂 Background Listening

The bridge quietly watches for new private messages in WeChat without bothering you.

6
💬 Send a Message

Type a question or share something in a private WeChat chat, and wait for the reply.

✨ Smart Replies Flow In

Your chosen AI sends back helpful, clever responses right in WeChat, making chats feel magical and effortless.

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AI-Generated Review

What is wechat-acp?

wechat-acp is a TypeScript bridge that pipes WeChat direct messages to any ACP-compatible AI agent, turning your chats into seamless AI conversations. It uses WeChat's iLink bot API for QR login and polling, forwards messages over stdio to agents like GitHub Copilot or Claude, then sends replies back with typing indicators. Developers get a lightweight wechat bridge for acp agents without building custom bots.

Why is it gaining traction?

Built-in presets for copilot, claude, gemini, and others mean one command like `npx wechat-acp --agent copilot` spins up a daemon-ready bridge—no config hassles. It handles text, images, voice transcripts, and files, auto-approves agent permissions, and caps sessions at 10 concurrent users with idle timeouts. As a chat messages bridge akin to matrix wechat bridge or rss bridge github, it stands out for effortless TypeScript integration with local ACP tools.

Who should use this?

Chinese dev teams using WeChat for code reviews or quick Q&A, wanting AI agents without Slack/Discord switches. Indie hackers bridging WeChat to proton bridge github-style tools for personal assistants. Early adopters testing acp-compatible agents in real chats before scaling.

Verdict

Grab it for prototyping WeChat AI chats—CLI and docs are polished for a 72-star TypeScript project—but its 1.0% credibility score flags it as early-stage with no tests visible; run in daemon mode on a throwaway account first.

(178 words)

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