@Xudong07452910: Free Open-Source Book Recommendation: 'How to Build a 7×24 AI Agent from Scratch' This book deeply deconstructs a real AI digital employee platform with 300,000 lines of code, systematically explaining: - Agent Engine & Context Engineering - Digital Human Protocol - AI Browser Implementation - Production-Grade Scheduling System - 7×24 Stable...
Summary
Recommends a free open-source technical book 'How to Build a 7×24 AI Agent from Scratch', systematically explaining AI Agent engine, digital human protocol, AI browser, production-grade scheduling and other practical content, based on the real 300,000-line open-source project Halo, and written in a human-machine collaboration manner.
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Free and Open-Source Book Recommendation: “How to Build a 7×24 AI Agent from Scratch”
This is a technical book that deeply dissects a real AI digital employee platform with 300,000 lines of code, systematically explaining:
- Agent engine and context engineering
- Digital human protocol
- AI browser implementation
- Production-grade scheduling system
- Complete practices for 7×24 stable operation
The book’s creation process is also unique: humans provide core materials and soul, while AI completes interviews, writing, and review — a true “human-machine collaboration” in writing.
Ideal for developers, researchers, and practitioners interested in AI Agents, Claude Code, and multi-agent systems. Worth systematic study and reference.
https://book.imwangfu.com #AIAgent #ClaudeCode #AIResearch #OpenSourceTutorial
How to Build a 7×24 AI Agent from Scratch
Source: https://book.imwangfu.com/ A technical book that dissects a real AI digital employee platform with 300,000 lines of code. From Agent engine and context engineering, to digital human protocol, AI browser, and production-grade scheduling — open the hood and explain it clearly.
🧠
No Buzzwords, Just Implementation
Doesn’t repeat basic content like “what is an Agent”. Each chapter corresponds to a real module running in production, and every design decision includes code snippets, alternatives, and trade-offs.
🔧
Open the Hood
What does a single Agent Loop query go through? Why is the Compact strategy chosen dynamically? Why is Escalation a run boundary rather than blocking? — These underlying issues are broken down one by one.
🚀
Based on 300,000 Lines of Code
Based on the real open-source project Halo — an AI digital employee platform running 7×24. Every layer of architecture is production-verified, not a demo-level toy implementation.
📐
13 Chapters in a Complete System
From architecture basics, AI engine layer, digital human platform, to AI browser, frontend engineering, and infrastructure — comprehensively covering all key designs of an Agent product.
🧭
A Methodology of One Person + AI
300,000 lines of code, zero hand-typed — but architectural decisions and requirement definitions are entirely human-led. Chapter 13 breaks down the three-step requirement spiral, AI laws, and cross-review workflow.
📖
Continuously Updated, Free to Read
The full book is available online for free, continuously optimized and iterated. Licensed under CC BY-NC-ND 4.0, shareable for distribution.
Full Table of Contents (https://book.imwangfu.com/#%E5%AE%8C%E6%95%B4%E7%9B%AE%E5%BD%95)
#ChapterStatusForeword / Why Write This Book (https://book.imwangfu.com/00-preface)✅Chapter 1 — Panorama: What Is an AI Digital Employee (https://book.imwangfu.com/01-panorama)✅Chapter 2 — Foundation: Application Architecture Unified Across Three Ends⏳Chapter 3 — Brain: Engineering the AI Engine⏳Chapter 4 — Compatibility Layer: Making the Brain Understand All Languages⏳Chapter 5 — Soul: Defining and Managing Digital Employees⏳Chapter 6 — Heart: The Autonomous Execution Engine⏳Chapter 7 — Memory: Making Digital Employees Smarter Over Time⏳Chapter 8 — Hands: Building the AI Browser⏳Chapter 9 — Mouth: Communication and Notification System⏳Chapter 10 — Face: Frontend Interaction Engineering⏳Chapter 11 — Armor: Production Environment Stability Assurance⏳Chapter 12 — Marketplace: App Store and Ecosystem⏳Chapter 13 — Creation: How One Person + AI Builds 300,000 Lines of Code⏳Appendix: Key Terms / Source Code Guide⏳> ✅ Published · ⏳ To Be Published. To receive updates, Watch the GitHub repository (https://github.com/openkursar-flynn/build-ai-agent-platform).
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