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Manning – Build a Multi-Agent System (from Scratch) 2025

Updated August 10, 2026 4.6 MB
Manning – Build a Multi-Agent System (from Scratch) 2025

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Description

Build a Multi-Agent System (from Scratch) explores the next generation of AI—systems in which multiple agents work together in unison to solve a problem. Drawing on his experience developing tools like AutoGen, Victor Dibia shows readers how to design and deploy a network of intelligent agents with specialized roles (such as coding experts, data analysts, and project managers).

Rather than focusing on off-the-shelf frameworks that can quickly become outdated, the book teaches the fundamental principles and underlying architecture of these systems. Along the way, the reader builds a personal library of agent management tools and learns how to orchestrate the complex interactions between them so that the final output is accurate, secure, and reliable.

Book Features

  • Learning how to build a dedicated library (PicoAgents) for managing agents from scratch.
  • Define specialized roles for agents (such as request categorization, knowledge search, and validation).
  • Teaching memory management and common ground between different agents in a project.
  • Exploring orchestration strategies for coordinating tasks.
  • Focus on security, ethics, and safety in autonomous systems.
  • Providing real-world case studies for the application of multi-agent systems in industry.

Book specifications

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Build a Multi-Agent System (from Scratch)

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Build a Multi-Agent System (from Scratch)

User Guide

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4.6 MB

What is included

  • Learning how to build a dedicated library (PicoAgents) for managing agents from scratch.
  • Define specialized roles for agents (such as request categorization, knowledge search, and validation).
  • Teaching memory management and common ground between different agents in a project.
  • Exploring orchestration strategies for coordinating tasks.
  • Focus on security, ethics, and safety in autonomous systems.
  • Providing real-world case studies for the application of multi-agent systems in industry.