Designing Multi-Agent Systems

Instead of focusing on how to use a specific framework, it walks you through building a minimal but feature-complete multi-agent system from the ground up. These are not surface-level topics. They're the design decisions that determine whether a system remains maintainable as complexity grows.

This book does an excellent job bridging theory and practice. It covers everything from deterministic agent workflows and autonomous orchestration to real-world production considerations such as evaluation, safety, security, and ethics. What I appreciated most is that it doesn't treat agents as demos or experiments but rather treats them as systems you actually have to operate, test, and trust in production.

As someone who has been in industry for 30 years, I recognize the traits of a good educator - someone who brings their own research & engineering experience to deliver content that covers concepts but also drives applied learning with use cases, code samples and most importantly - a constant finger on the pulse of where that industry is headed.

In the incredibly noisy landscape of AI agents, Victor's voice stands out as a true signal. "Designing Multi-Agent Systems" is an amazing compilation of trends and aspects related to all things agents. With this publication, Victor is providing substantial value to an otherwise hype-driven industry.

Just finished reading Victor's 'Designing Multi-Agent Systems' and it is must read. His book serves the perfect tour of how agents collaborate, negotiate, and learn. If you're building agentic platforms or thinking about AI ecosystems please pick it up.

Victor has an amazing ability to take complex and quickly evolving topics like AI & Agents and distill down to understandable core concepts that are actionable and easy to understand. This coupled with his work building Agent Platforms from MSR's AutoGen to AgentFramework make him one of my go to experts when thinking through the concepts, protocols, platforms and tools we need to build in CoreAI.

As a researcher at Microsoft who is close to the leading edge of Agentic capabilities, works with Microsoft customers on real world applications, and with the Autogen team on building the agent framework, Victor has a unique vantage point. He uses it to provide an exceptionally clear conceptual explanation of what agents can do, how to elicit complex behavior in real world applications by using multiple agents, and how to leverage multi agent...

Practical, easy-to-use guidance and explanations from one of the foremost experts in the industry. Holding this book you have a true pioneer guiding you along the best path.

I have known Victor and his work for many years. With Designing Multi-Agent Systems, I was struck by how comprehensively it captures the state of the art. From foundational principles to hands-on orchestration patterns and rigorous evaluation methods, this book bridges theory and practice in a way few resources do. This is essential reading for engineers who want to truly understand how to design robust multi-agent systems.

I just want to thank you for the great book! I enjoyed every page so far!

Really appreciate the work that went into making these ideas practical and accessible.

The flow was excellent. The content was rich. The examples were engaging. I had such a great time on my journey through this book. I encourage everyone interested in AI agents to pick up a copy.

Really good to understand what happens under the hood, in order to make informed decisions on what frameworks, patterns and designs to use.

When I head off on vacation next week, I plan to fork the samples repo and explore them to build my own intuition of the space. I hope you do too.

Been reading this, and it is helping to really make sense of multi agent system design. Incredible work!

This is the first book I've read on AI agents that really nails the architecture side of multi-agent systems. It explains clearly when you actually need multiple agents, and just as importantly, when a single agent or plain old code is the better choice. The discussion of workflows as computational graphs, round-robin style coordination, and other orchestration patterns is very practical and grounded in real trade-offs. I especially liked how it...

I've just finished the first four chapters, and this book truly delivers on its promises. It starts strong with the fundamentals and key design patterns for multi-agent collaboration. From there, it moves into a clear, structured, and highly educational deep dive into building a full multi-agent framework, covering all the essential concepts. Victor Dibia, PhD: If I had to complain… it would be about the choice of Python instead of C# 😅....

I bought the digital book last week and haven't finished all the chapters yet but I can already tell the level of depth you get here is unmatched with anything else out there. Really amazing job!