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Agent Blueprint: Multi-Agent System Architecture Fundamentals is the next frontier of AI: distributed, collaborative intelligence. Unlike traditional single-agent models, multi-agent systems (MAS) leverage networks of autonomous agents that communicate, coordinate, and adapt to solve complex problems at scale. This book provides a deep technical dive into MAS architectures, protocols, and production-grade best practices.

You will learn how to:

- Design hierarchical, flat, and hybrid agent architectures for diverse applications.

- Implement robust communication protocols like ACP, MCP, and FIPA ACL.

- Apply task allocation frameworks, including TDAG and Contract Net Protocol, for dynamic orchestration.

- Build real-world applications such as automated SDLC pipelines, enterprise workflow systems, and real-time infrastructure monitoring.

- Scale multi-agent systems safely and efficiently while maintaining explainability, trust, and reliability.

Packed with examples and production-ready strategies, this book is ideal for software engineers, AI architects, and researchers seeking to implement intelligent multi-agent systems in real-world environments.

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