7 Free resources to master Multi-Agent Systems (MAS)
Collective intelligence is the future of AI. Sometimes, a single agent isn't enough — a team of simpler, specialized agents working together to solve a task can be a much better option. Building Multi-Agent Systems (MAS) isn’t easy, that's why today we’re offering you a list of sources that may help you master MAS:
1. CrewAI tutorials -> https://docs.crewai.com/introduction#ready-to-start-building%3F At the end of the page you'll find a guide on how to build a crew of agents that research and analyze a topic, and create a report. Also, there are useful guides on how to build a single CrewAI agent and a workflow
2. Building with CAMEL multi-agent framework -> https://github.com/camel-ai/camel Offers guides, cookbooks and other useful information to build even million agent societies, explore and work with MAS
4. "Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations" by Yoav Shoham and Kevin Leyton-Brown -> https://www.masfoundations.org/download.html This book explains learning between agents, how multiple agents solve shared problems and communicate with focus on theory, practical examples and algorithms, diving into the game theory and logical approaches
Also, check out The Turing Post article about MAS -> https://www.turingpost.com/p/mas Our article can be a good starting guide for you to explore what MAS is, its components, architectures, types, top recent developments and current trends