Free GitHub project teaches multi-agent AI systems from scratch with PicoAgents framework

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Developer Tom Dörr has published an open-source GitHub project called 'designing-multiagent-systems' that combines a lightweight Python framework called PicoAgents, structured lessons, and a companion book titled 'Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents.' The project, which has earned over 1,100 stars and 250 forks under an Apache 2.0 licence, is designed to teach core multi-agent patterns — such as tool-calling agents, sequential workflows, and token tracking — rather than tying learners to any single framework's API. A notable feature is built-in cost monitoring that records execution time and token usage with percentile statistics, addressing a practical concern for teams deploying AI in production. The repository's examples folder demonstrates the same system built across multiple frameworks, including LangGraph, so readers can directly compare implementation differences. While the code and lessons are freely available on GitHub, the full book is sold separately in digital and print editions, and the project is primarily maintained by one developer.

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