I spent some time over the last two years writing a book on multi-agent systems. Along the way, I read as much as I could find on the topic.
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2025 has been heralded as the year of agents. Beyond the hype, building applications that integrate agents is becoming a widely useful skill. Books that help provide a curated learning path can be valuable in helping you get started.
Naturally, given how early the AI agent approach is, there aren’t many books specifically about AI agents yet. Most “AI” books focus on machine learning fundamentals or LLM prompting. Agent-specific content tends to be scattered across blog posts, framework documentation, and research papers.
But a few books stand out. I’ve reviewed them based on four dimensions that matter for learning to build agents:
