Awesome AI Agents › Courses and Tutorials
This repository holds the official code for Victor Dibia's book Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents. Its centrepiece is PicoAgents, a full multi-agent framework implemented from scratch specifically for teaching rather than for production use, so that every component — the agent reasoning loop, tool calling, memory, orchestration and termination — is visible and readable instead of hidden behind a library API. The stated approach is fundamentals-first and framework-agnostic: readers build each piece themselves, and the patterns are chosen so they remain valid independently of any particular SDK, which the author contrasts with books tied to one framework that go stale as APIs change. The material is organised into four parts. Part I covers foundations: what multi-agent systems are and when they are actually needed, coordination patterns contrasting predefined workflows with autonomous agents, and user-experience design principles for agent interfaces. Part II builds systems from scratch, starting with a single agent and its memory and moving through the components required for multiple agents to cooperate. Later parts extend to production concerns, including evaluation, optimisation and deployment guidance drawn from the author's experience. Every theoretical concept is backed by working, tested code, and the chapter tables in the README map each chapter directly to the example files and to worked examples such as a poet and critic exchange and a startup analysis workflow. The repository opens directly in GitHub Codespaces for readers who want to run the examples without local setup. The audience is engineers who already use agent frameworks and want to understand what those frameworks do underneath, or who are deciding whether a multi-agent design is warranted for a given problem. The book is sold separately in digital and print editions.
https://github.com/victordibia/designing-multiagent-systems
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