WeChat Claude Code Bridge

Chat with Claude Code in WeChat, just like texting a friend

License: MIT skills.sh 中文

Scan a QR code to bind your WeChat, and a new "friend" appears in your contacts. Send it a message — it gets forwarded to Claude Code running on your computer, and the reply streams back to WeChat in real time. Supports text, images, voice, and files.


Highlights

Scan and go No account signup, no server deployment. Scan a QR code and you're done in a minute. All data stays on your machine.
Clean messages Only key info gets pushed — progress, results, key decisions. Tool calls and intermediate noise are filtered out automatically.
"Typing..." indicator WeChat shows a typing indicator while Claude is working, so you always know it's on it.
Consistent experience Mobile and desktop Claude Code behave identically — same orchestration, same output. Not two disconnected AIs.
Two-way files Send images, Word docs, PDFs for Claude to analyze. Files Claude generates get pushed directly to WeChat — no need to go back to your computer.
Timeout reassurance Task taking longer than 5 minutes? You'll get an automatic message letting you know it's still working.

Install

Option 1: skills CLI (recommended)

npx skills add Wechat-ggGitHub/wechat-claude-code

The first time you trigger the skill, it will automatically clone the source and install dependencies.

Option 2: Manual clone

git clone https://github.com/Wechat-ggGitHub/wechat-claude-code.git ~/.claude/skills/wechat-claude-code
cd ~/.claude/skills/wechat-claude-code && npm install

Quick Start

1. Bind WeChat

cd ~/.claude/skills/wechat-claude-code
npm run setup

A QR code will pop up — scan it with WeChat.

2. Start the service

npm run daemon -- start

On macOS, this registers a launchd agent for auto-start on boot and auto-restart on crash.

3. Start chatting

Open WeChat and send a message to your new "friend".

Manage the service

npm run daemon -- status   # Check if running
npm run daemon -- stop     # Stop the service
npm run daemon -- restart  # Restart (after code updates)
npm run daemon -- logs     # View recent logs

WeChat Commands

Send these directly in the WeChat chat:

Command Description
/help Show available commands
/clear Clear current session, start fresh
/stop Stop current task
/model <name> Switch Claude model
/prompt <text> Set a system prompt (e.g. "reply in Chinese")
/cwd <path> Switch working directory
/skills List installed Skills
/status View current session state
/history [n] View recent chat history
/compact Compact context, start a new CLI session
/reset Full reset including working directory
/undo [n] Remove last N messages from history
/<skill> [args] Trigger any installed Skill

How It Works

WeChat (phone) ←→ ilink Bot API ←→ Node.js daemon ←→ Claude Code CLI (local)

The daemon long-polls WeChat for new messages, forwards them to the local claude CLI, and streams replies back to WeChat. Everything runs on your own machine.


Roadmap

  • Message queue optimization — Consecutive messages can produce mixed-up replies. Working on a better queuing strategy. Ideas welcome.
  • Prevent sleep — Use macOS caffeinate to keep the system awake, so closing the lid doesn't interrupt the service.
  • Resume desktop session — Chat on your computer for a while, then continue the same session from WeChat on the go. Same workspace, same context.

Prerequisites

  • Node.js >= 18
  • macOS or Linux
  • A personal WeChat account
  • Claude Code CLI installed and authenticated

Note: Claude Code supports third-party API providers (OpenRouter, AWS Bedrock, etc.) — set ANTHROPIC_BASE_URL and ANTHROPIC_API_KEY accordingly.

Data Directory

All data is stored in ~/.wechat-claude-code/:

~/.wechat-claude-code/
├── accounts/       # WeChat account credentials
├── config.json     # Global config
├── sessions/       # Session data
└── logs/           # Rotating logs (daily, 30-day retention)

License

MIT

S
Description
通过微信与 Claude Code 对话的 Skill,让用户在微信中直接使用 AI 编程助手进行交互。
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