OpenClaw China: Deploy Your AI Assistant into WeChat, DingTalk, Feishu, and QQ
Imagine waking up, asking your AI assistant in WeChat "What important meetings do I have today?" and instantly getting your schedule. At the office, a colleague @mentions a bot in a DingTalk group to organize project documentation. During lunch, you chat with the AI on QQ and have it check the weather and traffic.
This isn't science fiction — it's the everyday reality that OpenClaw China is building.
What Is OpenClaw?
OpenClaw (formerly Moltbot) is an open-source AI agent platform. Think of it as an "AI central nervous system": you deploy it on your own server, where it connects to multiple large AI models and hooks into various instant messaging apps, letting you talk to AI directly in familiar chat windows.
It's not a simple chatbot. OpenClaw has shell access — it can execute commands, write scripts, install software, and even develop new features on its own. It also has long-term memory across sessions, remembering what you've said and asked before. It's like a 24/7 remote colleague, always on standby.
What Pain Points Does OpenClaw China Solve?
The original OpenClaw mainly supports international platforms like WhatsApp, Telegram, and Discord. But Chinese users live on WeChat, DingTalk, Feishu, and QQ — like building a great car with the steering wheel on the wrong side for China's roads.
OpenClaw China is the answer: a collection of OpenClaw extension plugins for Chinese IM platforms, making the AI assistant truly localized and seamlessly integrated with mainstream Chinese workplace and social platforms.
One Deployment, Multiple Platforms Online
OpenClaw China currently supports five major channels:
| Platform | Connection Method | Highlights | |------|---------|---------| | DingTalk | WebSocket long connection | AI cards, streaming responses, file transfer | | WeCom (smart bot) | WebSocket long connection | No public IP required; new mode launched March 8 | | WeCom (self-built app) | HTTP callback | Can connect to regular WeChat; supports proactive messaging | | QQ bot | Official API | Private and group chats, file transfer | | Feishu | WebSocket long connection | Markdown cards, scheduled tasks |
Most powerfully, you can run multiple channels simultaneously. Your AI assistant can reply to colleagues on DingTalk, friends on WeChat, and you on QQ — all conversations are independent yet share the same "brain."
What Can It Actually Do?
Office Scenarios
- @mention the bot in a DingTalk group to generate meeting notes or project documents
- Send daily report reminders to team groups on a schedule
- Automatically process received files (e.g., OCR, content summarization)
- Chat with AI in WeChat to check weather or book flights
- Have the bot search information or translate text in QQ groups
- Set scheduled tasks, like a daily 8 AM news digest
- Execute server commands directly through IM
- Have AI write and debug code
- Build custom plugins to integrate internal systems
- Developers: build your own AI assistant connected to internal systems
- Team leads: bring AI to your team without forcing a platform switch
- Productivity enthusiasts: automate repetitive daily work
- AI hobbyists: deeply customize a personal AI assistant
Personal Scenarios
Developer Scenarios
Why Is It Worth Watching?
1. Localization first — Your data stays fully under your control. Private deployment on your own server is supported.
2. Open-source ecosystem — Fully open source with 5,700+ pre-built plugins; developers can build on the SDK for custom scenarios.
3. Lowering deployment barriers — What once required manual configuration now offers one-click deployment images on Tencent Cloud and Alibaba Cloud, ready in 2–3 minutes. The new WeCom long-connection mode removes even the need for a public IP.
4. Active community — GitHub stars are growing fast, and the WeChat group is lively with quick answers to questions.
Who Is It For?
Conclusion
An AI's value lies not in how smart it is, but in how seamlessly it fits into your workflow. OpenClaw China lets AI assistants truly "move into" the IM apps we use every day — no app switching, no new interfaces to learn, just complex tasks done in familiar chat windows.
Perhaps this is the right way to bring AI to the masses: don't make users go find AI — put AI where users already are.
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Project: https://github.com/BytePioneer-AI/openclaw-china