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An open-source, browser-based 30-minute course covering core agent concepts (tool calling, memory, state, policy gates,
An open-source, browser-based 30-minute course covering core agent concepts (tool calling, memory, state, policy gates, self-scheduling) in 9 short Python lessons with no setup required.
Original Post
Show HN: A 30-minute course to get up to speed on how AI agents work
9 short lessons, ~60 lines of Python. Each adds one concept — tool calling, memory, state, policy gates, self-scheduling — until you see the full agent stack.The core loop is just a while loop. That's AgentExecutor. That's what the frameworks do.
Runs in the browser (Pyodide). No setup, no signup. Mock mode works instantly, or plug in a free Groq API key for live LLM responses.
Open source: https://github.com/ahumblenerd/tour-of-agents