دانلود کتاب طراحی سیستم‌های هوش مصنوعی چندعامله با استفاده از MCP و A2A

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 building a flexible and extensible multi-agent framework in Python from first principles. Core concepts such as tool use, secure execution, context management through the Model Context Protocol (MCP), and agent collaboration via Agent-to-Agent (A2A) messaging are broken down into concrete implementations and reusable design patterns. This foundational understanding will enable you not only to build your own frameworks but also to reason about, customize, and troubleshoot agentic systems built with existing tools. The journey through the book is intentionally practical and progressive. You will begin by constructing a simple tool-using agent, then incrementally enhance its capabilities—adding secure tool execution, persistent and structured context handling, collaborative planning, and memory. As the book progresses, these individual components come together into fully autonomous, multi-agent systems capable of coordinating actions and solving complex tasks through structured communication and shared context. Complete with step-by-step walk-throughs, annotated Python code, and deep dives into real world agent workflows, this book bridges theory and practice. By the end, you will be able to design and implement your own agentic AI systems, build custom tools for intelligent agents, integrate protocols such as MCP and A2A, and deploy collaborative AI workflows that reason, plan, and act effectively in real-world environments. Armed with these skills, you will be well prepared to build the next generation of intelligent, adaptive AI applications.