Summary

This repository offers a comprehensive, free Chinese tutorial for OpenClaw, designed to empower "super individuals" to build personalized AI work assistants. It covers installation, configuration, and practical applications, aiming to significantly boost personal productivity through automation and intelligent workflows.

How It Works

The tutorial guides users through OpenClaw's capabilities, emphasizing local file management, knowledge base creation, scheduling, and automation. It leverages an extensive ecosystem of over 1800 "Skills" and prioritizes cost-effective Chinese LLMs, offering deep integration with popular domestic communication platforms like Feishu and WeChat Work. The approach focuses on practical, real-world applications for maximizing individual efficiency.

Quick Start & Requirements

• Installation: Mac local deployment via curl -fsSL https://openclaw.ai/install.sh | bash (10 min setup). Cloud deployment available on Tencent Cloud (20 RMB/mo), Alibaba Cloud, or Volcano Engine (9.9 RMB/mo).
• Prerequisites: Mac OS (recommended), Windows, Linux. Telegram or Feishu (recommended for domestic users). A "transit API service" is suggested for broad LLM access.
• Links: Official Docs: https://docs.openclaw.ai/, GitHub Repo: https://github.com/openclaw/openclaw.

Highlighted Details

• Extensive Content: Over 353,000 words, 15 chapters, 8 appendices, 70+ practical cases, and 50+ screenshots.
• Vast Skills Ecosystem: Access to 1800+ community and official "Skills" for extending AI functionality.
• Cost-Effective LLM Integration: Prioritizes Chinese models and multi-model switching for significant cost savings (up to 95%).
• Advanced Workflows: Features "Coding Agent" for code tasks and "Multi-Agent Brainstorming" for complex problem-solving, demonstrating high ROI.
• Domestic Platform Integration: Deep integration with Feishu, WeChat Work, DingTalk, and QQ.

Maintenance & Community

The project is actively maintained by xianyu110 and features a large community with GitHub Discussions and dedicated communication channels. Regular updates ensure the tutorial stays current with the rapidly evolving OpenClaw framework.

Licensing & Compatibility

The tutorial content is provided under the permissive MIT License, allowing for commercial use and integration into closed-source projects. It is based on OpenClaw v2026.2.9, with a warning against using v2026.2.12 due to known bugs.

Limitations & Caveats

iOS support is in alpha. Mac is strongly recommended for full system integration features, with Windows/Linux offering limited capabilities. The underlying OpenClaw framework is under rapid development, potentially leading to future breaking changes.