Best AI Agents Books (4 books)

Listopia > Best AI Agents Books

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) 4.89 avg rating — 19 ratings score: 100, and 1 person 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) 4.45 avg rating — 11 ratings score: 99, and 1 person 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 3.63 avg rating — 30 ratings score: 98, and 1 person 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 4.61 avg rating — 282 ratings score: 97, and 1 person 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