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Show HN: AI Agents: Zero to Hero – Learn AI Agents from Scratch in Pure Python
Brief published October 7, 2026 · Original source published October 6, 2026
Original reporting by tradertanmay at github.com.
Automated brief. Verify important details at the original source.
What happened
Developer Tanmay Sah has published an open educational repository called AI Agents: Zero to Hero on GitHub, targeting builders who want to understand AI agents from first principles. The project uses pure Python 3.11 or later with no mandatory third-party dependencies and no framework abstractions, walking learners from basic concepts through production-oriented patterns. The curriculum addresses foundational questions such as what qualifies as an agent and how deterministic systems differ from agentic ones.
Why it matters
Most agent tutorials rely on LangChain, AutoGen, or similar frameworks that obscure the underlying mechanics. A dependency-free approach forces learners to confront the actual control loops, tool-calling patterns, and state management that frameworks wrap, which can produce more robust mental models and reduce debugging friction when those frameworks change or fail.
What to watch
The repository is source-available but the license terms are not specified in the evidence, so builders should verify usage rights before incorporating any code. Scope of production-readiness coverage and whether advanced topics like multi-agent coordination are included remains unclear.