{"product_id":"build-a-multi-agent-system-from-val-andrei-fajardo-9781633434660","title":"Build a Multi-Agent System (from Scratch): With MCP and A2a","description":"\u003cb\u003eGet the eBook free when you register your print book at Manning.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eAgents turn LLMs into autonomous tools capable of executing on tasks and plans. Multi-agent systems use protocols like MCP and A2A to upgrade the power of a single AI agent with a collaborative AI team. In this book you'll learn how to construct one of these dynamic, powerful, and effective systems from the ground up. \u003cp\u003e\u003c\/p\u003e Effectively implementing a multi-agent system requires in-depth infrastructure--and that's exactly what you'll build in this book! Instead of relying on frameworks, you'll design the foundations yourself: the agent loop, tool orchestration, memory, and human-in-the-loop enhancements. Soon, you'll have an in-depth understanding of how multi-agent systems work because you've built your very own! \u003cp\u003e\u003c\/p\u003e In \u003ci\u003eBuild a Multi-Agent System (From Scratch)\u003c\/i\u003e you will learn how to: \u003cp\u003e\u003c\/p\u003e - Build a complete LLM agent infrastructure from scratch, including interfaces, tools, data structures, and processing loops\u003cbr\u003e - Orchestrate tool calling with LLMs and connect agents to the Model Context Protocol (MCP) ecosystem\u003cbr\u003e - Implement human-in-the-loop patterns and add memory modules to share state across tasks\u003cbr\u003e - Evaluate agent and multi-agent performance on real tasks\u003cbr\u003e - Add Agent2Agent compatibility so multiple agents can collaborate and solve distributed problems \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eBuild a Multi-Agent System (From Scratch) \u003c\/i\u003eshows you how to build a complete, working system of agents. Each chapter builds a new stage of your system. Begin by developing your first scratch-built agent, continue to integrate MCP compatibility, incorporate key patterns and designs like human-in-the-loop and memory, and finally implement full Agent2Agent capability that distributes a task among multiple agents. Every milestone comes with a careful walkthrough of the design decisions and code. By the end of the book, you will have a practical, extensible multi-agent system--and the skills to adapt it for research, business automation, or your own experiments. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For software engineers and AI scientists who know Python, and are familiar with working with LLMs. No specialist hardware required--everything in this book should run on a laptop. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eVal Andrei Fajardo\u003c\/b\u003e is a freelance AI engineer and scientist specializing in LLM agents and AI infrastructure. He is a former founding engineer at LlamaIndex, where he contributed to and maintained their popular open-source Python framework that receives millions of downloads per month. After LlamaIndex, he worked as a researcher at the Vector Institute for AI, where he developed FedRAG, an open-source library for federated fine-tuning of RAG systems, which was accepted into the CODEML workshop at ICML 2025. Andrei holds a PhD in Statistics and Applied Probability from the University of Waterloo.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Val Andrei Fajardo\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1633434664\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781633434660\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Manning Publications\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/24\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 325\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.85lbs","brand":"Val Andrei Fajardo","offers":[{"title":"Paperback","offer_id":48748312625407,"sku":"9781633434660","price":59.99,"currency_code":"USD","in_stock":false}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/build-a-multi-agent-system-from-val-andrei-fajardo-9781633434660","provider":"WR Book House","version":"1.0","type":"link"}