#233 · Primary category： Education & Research
ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Project last updated：07/24/26
GitHub Stars
4.6K
Forks
671
Contributors
3
License
MIT
Why we included this project
If you've worked with agent frameworks and still can't explain why they're structured the way they are, this tutorial rebuilds that understanding from the ground up. You run everything on your own machine with local LLMs and node-llama-cpp, so the mechanics stay visible. The path goes from a plain model load and prompt loop to function calling, then memory, then the ReAct pattern, with each step's code and concepts explained alongside. That's a useful foundation before you adopt a bigger framework, and if Node isn't your stack, the same path exists in Python with a companion site covering the conceptual side.
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