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Building Multi agent Systems with Finite State Machines

State machines and the Actor model are a timeless foundation for designing robust, scalable, and maintainable distributed systems by providing clear abstractions for managing state, concurrency, and message-driven communication. But as foundational AI models grow more intelligent and autonomous, do these tools still have a place? This talk explores how State machines and the Actor model can be leveraged alongside LLMs to build Agents that reason, plan, and act with observability, reliability, and control. The Agentic patterns of tool use, feedback, collaboration, orchestration, and chartering are all introduced through the clarifying lens of State Charts. https://github.com/adamterlson/Agenti...