ai-agent-deep-dive

Why we included this project

This is a study resource rather than a deployable tool, and that is exactly what makes it interesting. The PDF reports dig into how real agents like Claude Code and Hermes Agent are put together, which helps if you want to see what production agent code actually looks like instead of just using one. Alongside the reports sits a deliberately small Python agent built for teaching: a few readable files covering the main loop, a replaceable fake LLM, skill discovery, and a CLI skeleton. It runs on a stub model, so it is not for real workloads; the point is to show a learner how the pieces fit so they can later swap in a real model without rewriting the whole loop. Developers and leads evaluating frameworks will find a grounded walkthrough of agent internals here that is easy to reuse as study or onboarding material.