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Build Claw (Developer Guide) ​

Deep dive into OpenClaw internals and master the ability to customize your own AI Agent

Introduction ​

Why build your Claw from scratch, OpenClaw's complexity challenges, minimalist insights and learning roadmap

Part 1: OpenClaw Internal Analysis ​

Chapter 1: Core Concepts & Design Philosophy ​

Agent Runtime vs Chatbot essential differences, four primitive tools design philosophy, message-driven & local-first strategy

Chapter 2: Architecture Overview ​

Gateway, Bus, Agent, Provider four core modules, message flow analysis, event bus design patterns

Chapter 3: Prompt System ​

7 Markdown files prompt architecture, hot reload mechanism, Token optimization strategies

Chapter 4: Tool System ​

Four primitive tools deep dive, tool registration mechanism, tool descriptions impact on LLM accuracy, Skill system hierarchy

Chapter 5: Message Loop & Event Driven ​

ReAct loop execution flow, LLM tool selection mechanism, heartbeat & automation

Chapter 6: Multi-Channel Integration ​

Channel adapter design patterns, unified message format conversion, Telegram/Discord/Feishu/DingTalk integration

Part 2: Case Studies ​

Chapter 7: Lightweight Solutions ​

NanoClaw 500-line minimal implementation, Nanobot 4000-line research-friendly version, ZeroClaw vendor-independent approach

Chapter 8: Security Hardening ​

IronClaw security architecture, fine-grained permission control, sandbox isolation, audit logging

Chapter 9: Hardware Solutions ​

PicoClaw hardware selection & cost analysis, Raspberry Pi deployment, low-power optimization, edge computing

Chapter 10: Case Comparison Summary ​

Multi-dimensional comparison matrix, scenario selection guide, learning curve analysis, customization decision tree

Part 3: Customize Your Claw ​

Chapter 11: Customization Roadmap ​

Four-level customization difficulty, applicable scenarios & maintenance costs, learning path recommendations

Chapter 12: Configuration-Level Customization ​

config.json structure, tool whitelist, security options, common issues

Chapter 13: Skill Development ​

Skill file structure, Frontmatter format, async handlers, error handling & debugging

Chapter 14: Channel Integration ​

DingTalk/Feishu integration workflow, channel adapter development, multi-channel configuration

Chapter 15: Complete Customization Cases ​

Programming assistant Claw, personal productivity assistant, customer service bot, testing & maintenance


🚧 Content under development