OpenClaw China provides essential plugins for the OpenClaw AI framework, enabling integration with major Chinese Instant Messaging (IM) platforms including DingTalk, QQ, WeChat Work, and Lark. It targets developers and users seeking to leverage AI chatbots within these specific communication ecosystems, offering a bridge for advanced AI interactions across popular Chinese social and enterprise tools.

How It Works

This project extends OpenClaw by providing dedicated channel plugins for popular Chinese IM platforms. It acts as a bridge, translating OpenClaw's AI interactions into platform-specific API calls and vice-versa. The approach is advantageous by enabling AI chatbot deployment within ecosystems that often have unique technical requirements and API limitations, offering features like file transfer and scheduled messages as key differentiators.

Quick Start & Requirements

Installation via npm (openclaw plugins install @openclaw-china/channels) or source build (git clone, pnpm install, pnpm build, openclaw plugins install -l ./packages/channels). Source build is recommended for Windows due to npm compatibility issues. Configuration requires platform-specific API credentials set via openclaw config set. Detailed guides are linked for DingTalk, QQ, and WeChat Work.

Highlighted Details

• Industry-first support for file sending/receiving on DingTalk, QQ, and WeChat Work.
• Pioneering scheduled message sending for DingTalk, QQ, Lark, and WeChat Work.
• WeChat Work (self-built app) enables voice-to-text (Tencent Cloud ASR) and integration with regular WeChat.
• Supports Markdown, streaming responses (select platforms), and various media types.

Maintenance & Community

The project shows recent activity with updates in February 2026. A WeChat group is available for community discussion, support, and development inquiries. Contributions are welcomed via issues and pull requests.

Licensing & Compatibility

The project is released under the MIT license, permitting broad use, modification, and distribution, including for commercial purposes, with minimal restrictions.

Limitations & Caveats

Known Windows compatibility issues exist with npm installation. Feature support varies significantly by platform, especially for file transfer, streaming responses, and multi-account capabilities. WeChat Work (self-built app) is primarily for private chats, and QQ bot's Markdown requires explicit permissions. Lark file transfer is send-only.