As AI systems take on more complex tasks, the limits of single-model applications become increasingly clear. Problems requiring long-horizon reasoning, specialized expertise, coordination, and parallel execution demand multiple agents working together reliably in production.
But building multi-agent systems is fundamentally an engineering challenge. Agents must communicate, delegate tasks, manage context, recover from failures, and stay aligned on shared goals under real-world constraints.
Multi-Agent AI Engineering is a practical guide to designing and operating production-grade multi-agent systems. Drawing on the authors’ research, open-source contributions, and experience building AI systems at scale, the book focuses on architectural principles that extend beyond any single framework or trend.
You’ll explore agent foundations, communication protocols, memory and context management, orchestration, interoperability standards, and canonical multi-agent patterns through hands-on Python examples. The book also covers production realities including evaluation, observability, reliability, safe self-improvement, and scaling agentic systems in practice.
By the end, you’ll be equipped to design, build, and scale reliable multi-agent systems for real-world deployment.

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Spis treści

Multi-Agent AI Engineering. Design, build, and operate AI systems that think and act as coordinated teams eBook -- spis treści

• 1. Introduction to Multi-Agent Systems
• 2. Principles of Multi-Agent Systems
• 3. Frameworks and Mental Models
• 4. Constructing Your First Agents
• 5. Agent Communication and Collaboration
• 6. Context Management in Agents
• 7. Orchestrating Agent Teams
• 8. Unified Abstractions and Protocols for Agent Collaboration
• 9. Design Patterns for Multi-Agent Collaboration
• 10. Comparative Survey of Frameworks
• 11.  Evaluating the Performance and Behaviors of Multi-Agent Systems
• 12. Deploying and Scaling Multi-Agent Systems
• 13. Observability for Agentic AI
• 14. Case Studies from Real-World Applications
• 15. Conclusions and Future Outlook