#383 · Primary category: Education & Research

build-your-own-openclaw

ai-agent build-your-own-x llm python tutorial

A step-by-step guide to build your own AI agent.

Project last updated:07/08/26

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1.9K

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326

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5

License

MIT

Why we included this project

Agent frameworks hide a lot of machinery behind their APIs. This tutorial takes the opposite route: 18 steps that begin with a plain chat loop and rebuild a lightweight OpenClaw feature by feature. Each step comes with a README explaining the design choice and a runnable codebase, so you can read about an idea and then run and change it right away. The ordering is deliberate. Tools and skills show up before event-driven refactoring, and multi-agent routing and scheduled tasks wait until a single agent works well. For developers and small teams, that makes the progression useful: you see how persistence, compaction, and concurrency control fit together instead of just calling framework methods. A reference project, pickle-bot, gives you something to diff against when a step does not behave the way you expect.

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