xianyu110

awesome-openclaw-tutorial

AI#AI #Automation #Agent#Tutorial#Workflow

4,318

// summary

This tutorial provides a comprehensive guide for users to build an AI work assistant from scratch, covering installation, configuration, core features, and advanced techniques. The content is proofread based on the stable OpenClaw v2026.4.14 version and offers multiple deployment options to meet various scenario requirements. Through rich practical cases and detailed command cheat sheets, it helps users achieve a significant boost in personal efficiency.

// technical analysis

Awesome OpenClaw Tutorial is an in-depth Chinese practical guide for the OpenClaw platform, designed to help users build 'super-individual' workflows through AI automation tools. Through a structured chapter design, the project covers the complete path from basic installation and core function configuration to advanced API integration and one-person company implementation, effectively lowering the technical barrier for users to get started with complex AI systems. The project places special emphasis on version alignment, ensuring the tutorial's practicality and accuracy in a rapidly iterating open-source environment by clearly distinguishing between stable and pre-release versions and providing detailed troubleshooting guides and configuration templates.

// key highlights

Provides a comparison of multiple deployment schemes, covering Feishu Miaoda, Baota Panel, and cloud deployment, meeting the needs of users with different technical backgrounds.

Includes 70+ ready-to-use practical workflow cases, covering personal efficiency, automated office work, and creative application scenarios.

Deeply integrates with localized Chinese platforms, supporting seamless connection with mainstream IM tools such as Feishu, WeCom, and DingTalk.

Provides detailed command cheat sheets and configuration templates, significantly simplifying the debugging and deployment process for complex functions.

Emphasizes cost optimization strategies, helping users significantly reduce API usage costs by recommending domestic large models and efficient configurations.

Equipped with a comprehensive knowledge base and memory management system, supporting Active Memory and Memory Wiki to help build a personal second brain.

// use cases

Provides multiple deployment options, including Feishu Miaoda, Baota Panel, and desktop clients, to meet the needs of users with different technical backgrounds.

Covers core functions such as file management, knowledge base construction, schedule automation, and multi-platform integration to help build personal AI workflows.

Guides users through over 70 practical cases to achieve full-process automation, from personal efficiency improvement to operating a one-person company.

// getting started

Beginners are advised to first read Chapter 1 to understand the core value, then choose a suitable deployment method (such as Feishu Miaoda or Baota Panel) based on the '30-second quick selection' table. After completing the deployment, send your first message using the quick-start guide in Chapter 3, and refer to the latest main content in Chapters 10-15 for advanced configuration and practical exercises.