Best AI Agents Books (4 books)

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Books for engineers and builders who want to understand and build AI agents. Covers multi-agent systems, LLM-powered autonomous agents, agentic design patterns, tool use, memory, orchestration, evaluation, and deployment. Includes books on frameworks like LangChain, AutoGen, CrewAI, and protocols like MCP and A2A.

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1	Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents by Victor Dibia (Goodreads Author) 4.91 avg rating — 23 ratings score: 200, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
2	Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications by Valliappa Lakshmanan (Goodreads Author) 4.50 avg rating — 16 ratings score: 198, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
3	Building Applications with AI Agents: Designing and Implementing Multiagent Systems by Michael Albada 3.39 avg rating — 51 ratings score: 196, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
4	Build a Large Language Model by Sebastian Raschka 4.60 avg rating — 332 ratings score: 194, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars