Why This Book Exists
In 2025, AI Agents moved from labs to production. But when you actually try to build an enterprise-ready Agent system, you discover:
- Most tutorials stop at "call an API to make a chatbot" demos
- Multi-agent coordination, token budgets, error retry, state persistence—no clear answers
- Existing frameworks don't meet enterprise needs: security auditing, cost control, observability
This AI Agent Book fills that gap.
What You'll Learn
Part 1-2: Agent Foundations
- The Essence of Agents — From ReAct to Reasoning + Acting
- Tool Calling — Function Calling design patterns
- MCP Protocol — The tool integration standard released late 2024
- Structured Output — Getting parseable data from LLMs
Part 3-4: Single Agent Deep Dive
- Memory Systems — Short-term, long-term, and external memory design
- RAG Integration — Retrieval-Augmented Generation best practices
- Planning & Execution — Plan-and-Execute patterns
- Self-Reflection — Teaching agents to self-correct
Part 5-6: Multi-Agent Orchestration
- Multi-Agent Patterns — Supervisor, Hierarchical, Swarm
- DAG Orchestration — Workflow design with directed acyclic graphs
- State Management — Persistence, checkpoints, failure recovery
- Human-in-the-Loop — Human-AI collaboration patterns
Part 7-8: Production Deployment
- Cost Control — Token budgets, rate limiting, caching strategies
- Security & Permissions — Sandboxed execution, audit logs, access control
- Observability — Tracing, metrics, logging
- Enterprise Architecture — Evolution from PoC to production
Part 9: Cutting Edge
- Computer Use — Agents that operate computers
- Agentic Coding — Code generation agent design
- Browser Use — Web automation agents
- Agent Economics — Cost, pricing, and business models
What Makes This Book Different
Patterns Over Frameworks
Every chapter teaches universal design patterns before specific implementations. Frameworks become obsolete; patterns don't.
Battle-Tested Experience
This book comes from building Shannon, a multi-agent platform with a three-tier architecture in Go/Rust/Python.
Covers 2025-2026 Frontiers
MCP protocol, Computer Use, Agentic Coding—these were cutting-edge when I wrote this book.
Who Should Read This
- Developers building production-grade Agent systems, not just demos
- Teams handling multi-agent coordination in complex scenarios
- Engineers concerned with cost control, security, and observability
- Anyone wanting to understand design patterns behind agent frameworks
- Backend developers, architects, and technical leads
Available in Multiple Languages
This book is available in three languages:
- English Version — Full translation
- 中文版 (Chinese) — Original version
- 日本語版 (Japanese) — Japanese translation
Start Reading
This book is completely free to read online:
"The best way to learn is to build." This book is a systematic compilation of lessons learned while building the Shannon multi-agent platform.