OpenClaw-Book and openclaw-guide

These are complementary resources that serve different depths of learning: the first is a comprehensive introductory book covering OpenClaw fundamentals across theory and implementation, while the second is an expert-level technical guide focused specifically on architectural principles and implementation details, making them best used sequentially or together depending on the reader's background.

OpenClaw-Book
42
Emerging
openclaw-guide
36
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 1/25
Community 18/25
Maintenance 10/25
Adoption 4/25
Maturity 9/25
Community 13/25
Stars: 178
Forks: 28
Downloads:
Commits (30d): 0
Language:
License:
Stars: 8
Forks: 2
Downloads:
Commits (30d): 0
Language: HTML
License: MIT
No License No Package No Dependents
No Package No Dependents

About OpenClaw-Book

0xtresser/OpenClaw-Book

《深入 OpenClaw》。全网第一本介绍 OpenClaw 的书,用 OpenClaw + OpenCode + Opus 4.6 写成。A book introducing OpenClaw, written by OpenClaw + OpenCode + Opus 4.6

# Technical Summary Covers OpenClaw's **local-first personal AI assistant architecture** with unified multi-channel inbox (WhatsApp, Telegram, Slack, Discord, iMessage, etc.) routed through a WebSocket-based Gateway control plane that manages sessions, tool execution, and agent orchestration. Built as a **pnpm monorepo in TypeScript/Node.js 22+** with native clients (Swift/Kotlin) and extensible skill/channel plugin system, using WebSocket frames for request-response + server-push events, TypeBox schemas for protocol validation, and session-scoped conversation management with configurable reset strategies.

About openclaw-guide

CyberNewair/openclaw-guide

OpenClaw 完全指南- 从原理到实现的专家级解析

Comprehensive technical documentation covering OpenClaw AI Agent platform's architecture (Gateway, Agent Runtime, communication protocols) and core systems including memory management, multi-agent coordination, skill systems, and security controls. The guide uses Markdown source with automated PDF generation via Node.js, Playwright, and Chrome Headless rendering, incorporating server-side KaTeX formula rendering for technical precision. Content spans installation, configuration, production deployment strategies, and ecosystem development patterns for creating custom Skills within the OpenClaw platform.

Scores updated daily from GitHub, PyPI, and npm data. How scores work