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OpenClaw 的微信渠道插件,支持 macOS 原生通知 + Webhook 双通道接收消息,AppleScript UI 自动化发送消息

13
0
69% credibility
Found Mar 09, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A macOS add-on for OpenClaw that lets an AI assistant receive WeChat messages through system alerts and send replies by mimicking human typing and pasting.

How It Works

1
🔍 Discover the WeChat helper

You find this handy add-on that lets your AI assistant chat right inside WeChat on your Mac.

2
📱 Tweak WeChat settings

You change the send button in WeChat to a new shortcut and clear out chats to focus on just one friend.

3
🤖 Link it to your AI

You switch on the WeChat option in your AI tool and list the friend's name who can chat with it.

4
🌟 Allow notification watching

You give your setup permission to peek at Mac alerts so it catches new messages instantly.

5
📝 Add full message support

You optionally set up a simple helper to grab complete long texts and pictures from chats.

6
💬 Start the conversation

You run your AI tool with WeChat in the background and send a test message to see replies flow naturally.

🎉 Seamless AI chats unlocked

Now your AI receives messages quickly and responds just like you would, making WeChat feel super smart.

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AI-Generated Review

What is openclaw-wechat-plugin?

This TypeScript plugin bridges the OpenClaw macOS app with WeChat, letting AI agents receive messages via dual channels—macOS native notifications for near-real-time alerts and webhook for full content including media—and send replies through UI automation. It solves the pain of integrating OpenClaw GitHub Copilot workflows with WeChat chats on macOS, handling text, images, and long messages without modifying the WeChat client. Users configure it in openclaw.json to filter senders and enable streaming.

Why is it gaining traction?

Dual receiving beats single-channel alternatives by combining instant notifications with webhook backups for complete long-text and media handling via optional chatlog integration. Smart deduplication and adaptive sending—human-like typing for short texts, clipboard pastes for long ones or files—make interactions feel natural. Developers dig the zero-injection safety and AppleScript backend that mimics manual inputs.

Who should use this?

Mac-based AI tinkerers running OpenClaw for agentic workflows who chat via WeChat, like indie devs coordinating with Chinese teams or solo builders testing Copilot-driven bots. It's for those needing a dedicated WeChat channel without multi-chat clutter—keep one conversation active per account.

Verdict

At 13 stars and 0.7% credibility, this rough 0.01 TypeScript plugin is an intriguing proof-of-concept for OpenClaw WeChat integration, with solid docs but unpolished edges like manual key setup for chatlog. Try it if you're prototyping macOS agents; skip for production until it matures.

(178 words)

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