OpenMozi
Lightweight OpenClaw for China's app ecosystem
About
A lightweight AI assistant framework focused on Chinese platforms. Supports QQ, Feishu, DingTalk, and WeCom channels with native Chinese LLM providers (DeepSeek, Doubao, Qwen, Kimi, Zhipu). 3% of OpenClaw's codebase with core functionality intact.
At a Glance
Runs On
LLM Required
Yes — needs API key
MCP Support
No
Ecosystem Role
Alternative
Chinese ecosystem first — native QQ, Feishu, DingTalk, WeCom channels with DeepSeek, Doubao, Qwen, Kimi, and Zhipu AI providers, all in 16K lines of code
Editorial Take
OpenMozi sits in the OpenClaw family as a alternative rather than a generic AI agent tool. It is written in TypeScript and currently shows 179 GitHub stars, which gives a quick sense of where it fits between experimentation and mainstream adoption.
OpenMozi is best understood as a response to the tradeoffs in OpenClaw itself. Compared with the flagship project, its community is roughly 1896x smaller, but that smaller scope often exists because the project is optimizing for a sharper use case: message-driven assistant workflows.
Operationally, this project targets message-driven assistant workflows. Its deployment surface spans Server / VPS / Docker, Messaging (Telegram / Discord).
Best For
Message-driven assistant workflows
- + Its category focus on multi-platform and self-hosted makes the product direction easier to understand than generic agent frameworks.
Tradeoffs
What to understand before choosing OpenMozi over another project in the ecosystem.
- - The smaller community means fewer battle-tested examples, integrations, and third-party writeups.
- - It still depends on an external LLM provider, so token spend and vendor reliability remain part of the operating model.
- - Teams standardizing on MCP will need custom integration work or a different tool choice.
GitHub Stats
#39 of 54 on the leaderboard →Stars
★ 179
+3 this week
Forks
24
Open Issues
14
Last Commit
10d ago
OpenClaw Relationship
OpenMozi is an OpenClaw-inspired project — part of the growing ecosystem of personal AI agent frameworks that trace their lineage to Peter Steinberger's original self-hosted assistant.
Added to Shelldex on March 7, 2026
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