#6464th of 100 in Learning and cookbooks
awesome-openclaw-tutorial
Chinese-language tutorial book for installing and using the OpenClaw AI assistant
- Stars
- 4.6k
- License
- custom license
- Last commit
- Oct 2026
- Last release
- Oct 2026
- Language
- Shell
4,075 on 21 Apr 20264,579 on 10 Nov 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
A Chinese-language tutorial for OpenClaw, a self-run AI assistant. It has 15 chapters and 15 appendices covering installation, configuration, skills, chat-platform integration (Feishu, WeCom, DingTalk, QQ, WeChat) and automation. Chapters are checked against OpenClaw v2026.9.3 and include sample configs and upgrade notes such as `openclaw doctor --fix`. It is documentation, not the OpenClaw software itself.
Who it is for: Chinese-speaking users learning to set up and use OpenClaw
Strengths
- Key chapters aligned to OpenClaw v2026.9.3, with explicit cross-version migration notes
- Sample JSON configs for multi-model, multi-agent and Feishu bot setups
- Covers Chinese chat platforms: Feishu, WeCom, DingTalk, QQ, WeChat
- Appendices include command reference, common problems and config templates
Weaknesses
- Chinese only; no English edition is mentioned
- Chapters 3, 4, 6, 9 and some deploy guides still contain outdated steps
- Author says about 60% of 144 CLI commands in the free tutorial needed removal or fixes
- Badge says GPL-3.0 but detected license is NOASSERTION; extra no-resale terms are added
What it needs
- Needs OpenClaw, Node 24.16+ or 26.1+
- Models: DeepSeek, Kimi, OpenAI, Anthropic, Ollama
What changed
From the release notes. No flag means the note does not say so, not that the upgrade is safe.
Also in Learning and cookbooks
See all 100| Rank | Project | Score |
|---|---|---|
| 1 | ai-engineering-from-scratchHands-on AI engineering curriculum with 542 lessons across 20 phases | 91 out of 100 |
| 2 | generative-ai-for-beginners21-lesson course on building generative AI apps in Python and TypeScript | 83 out of 100 |
| 3 | rag_techniquesCollection of 42 runnable notebooks implementing RAG techniques | 82 out of 100 |
| #4 | cs249r_bookOpen textbook and course materials for machine learning systems engineering | 82 out of 100 |
| #5 | ai-for-beginners24-lesson AI curriculum with notebooks in PyTorch and TensorFlow | 81 out of 100 |