Claude Skill

fastclaw-ai/weclaw

WeClaw is an open-source Go SDK that connects WeChat to any AI agent via ClawBot. Enable automated conversations, task execution, and seamless integration with intelligent agents on WeChat.

Overview

Stars1,523
Forks186
LanguageGo
Last pushed2026-04-01
Last synced2026-06-17
View on GitHub

Repository

Ownerfastclaw-ai
Repositoryweclaw
Full namefastclaw-ai/weclaw
Repo ID1,188,762,109

Install this Skill

docker run -it -v ~/.weclaw:/root/.weclaw ghcr.io/fastclaw-ai/weclaw start

Registry

Typeopenclaw_skill
Quality score75/100
Verificationreadme_parsed
Last verified2026-06-02
Platforms
ClaudeOpenClawCodexCursor
Capabilities
pdfimagevideoterminalworkflowclawbotopenclawopenclaw-weixinwechat-clawbotweclaw
Detected files
README.md
Config keys
ANTHROPIC_API_KEYOPENAI_API_KEYOPENCLAW_GATEWAY_URLOPENCLAW_GATEWAY_TOKEN
Install methods
  • docker run -it -v ~/.weclaw:/root/.weclaw ghcr.io/fastclaw-ai/weclaw start
  • docker run -it -v ~/.weclaw:/root/.weclaw weclaw login
  • docker run -d --name weclaw \

Summary

WeClaw is an open-source Go SDK that connects WeChat to any AI agent via ClawBot, enabling seamless integration of WeChat with intelligent agents for automated conversations and task execution.

Chinese description

通过微信ClawBot连接任意智能体。

Key features

  • Seamless WeChat-to-agent integration via ClawBot
  • Lightweight Go SDK for fast deployment
  • Supports any AI agent or backend service
  • Open-source with active community maintenance
  • Designed for real-time message handling

Use cases

  • Build WeChat-based AI customer service bots
  • Connect WeChat to custom AI agents for automation
  • Create personal assistant bots on WeChat
  • Integrate WeChat with enterprise AI workflows
  • Prototype and test AI agent interactions via WeChat

README excerpt

# WeClaw [中文文档](README_CN.md) WeChat AI Agent Bridge — connect WeChat to AI agents (Claude, Codex, Gemini, Kimi, etc.). > This project is inspired by [@tencent-weixin/openclaw-weixin](https://npmx.dev/package/@tencent-weixin/openclaw-weixin). For personal learning only, not for commercial use. | | | | |:---:|:---:|:---:| | <img src="previews/preview1.png" width="280" /> | <img src="previews/preview2.png" width="280" /> | <img src="previews/preview3.png" width="280" /> | ## Quick Start ```bash # One-line install curl -sSL https://raw.githubusercontent.com/fastclaw-ai/weclaw/main/install.sh | sh # Start (first run will prompt QR code login) weclaw start ``` That's it. On first start, WeClaw will: 1. Show a QR code — scan with WeChat to login 2. Auto-detect installed AI agents (Claude, Codex, Gemini, etc.) 3. Save config to `~/.weclaw/config.json` 4. Start receiving and replying to WeChat messages Use `weclaw login` to add additional WeChat accounts. ### Other install methods ```bash # Via Go go install github.com/fastclaw-ai/weclaw@latest # Via Docker docker run -it -v ~/.weclaw:/root/.weclaw ghcr.io/fastclaw-ai/weclaw start ``` ## How It Works <p align="center"> <img src="previews/architecture.png" width="600" /> </p> **Agent modes:** | Mode | How it works | Examples | |------|-------------|----------| | ACP | Long-running subprocess, JSON-RPC over stdio. Fastest — reuses process and sessions. | Claude, Codex, Kimi, Gemini, Cursor, OpenCode, OpenClaw | | CLI | Spawns a new process per message. Supports session resume via `--resume`. | Claude (`claude -p`), Codex (`codex exec`) | | HTTP | OpenAI-compatible chat completions API. | OpenClaw (HTTP fallback) | Auto-detection picks ACP over CLI when both are available. ## Chat Commands Send these as WeCh

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Data from GitHub. Synced on 2026-06-17