February 2026
Intermediate to advanced
536 pages
12h 16m
English
Content preview from Design Multi-Agent AI Systems Using MCP and A2A
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Preface
The rapid evolution of large language models has shifted artificial intelligence from static, prompt-driven systems to dynamic, agentic architectures capable of reasoning, planning, and acting in the real world. Today’s most powerful AI applications are no longer single-model pipelines; they are systems of collaborating agents that use tools, manage context, and coordinate with one another to solve complex problems. Building such systems requires going far beyond surface-level framework usage. It demands a deep understanding of how agentic AI actually works.
Rather than treating agent frameworks as black boxes, this book takes a ground-up, hands-on approach. You will explore what happens behind the curtain of modern agentic systems by ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.