Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based agentic AI framework with tool use, memory, and multi-agent workflows
I will be using this book for:

Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based agentic AI framework with tool use, memory, and multi-agent workflows

by Gigi Sayfan

artificial intelligence Machine Learning Software Engineering Python Programming
1 Star 2 Star 3 Star 4 Star 5 Star
0.0 out of 5 stars (0 ratings)

Explore the foundations of multi-agent AI system design with MCP and A2A. This guide focuses on engineering a Python-based agentic AI framework that supports tool use, memory, and multi-agent workflows, offering a practical starting point for developers building coordinated AI applications.

About This Book

Design Multi-Agent AI Systems Using MCP and A2A introduces the concepts behind multi-agent artificial intelligence systems.

The book focuses on building a Python-based agentic AI framework with tool use, memory, and multi-agent workflows.

It is aimed at readers interested in engineering practical systems that coordinate multiple AI agents.

Gigi Sayfan presents a focused guide to developing and structuring these capabilities with Python.

Reviews

No reviews yet. Be the first to review this book!


Write a Review
I will be using this book for: