# AI Agent Deep Dive

A research report on AI agent source code, distributed as downloadable PDFs, alongside a small teaching project that demonstrates how a minimal Python agent's core loop, tool skills and CLI fit together.

This repository offers downloadable PDF reports that research AI agent source code in depth, including a chapter on a memory system and a newer analysis of the Hermes Agent's source code, alongside a minimal teaching Python agent project.

The teaching project keeps its core agent code in `src/agt/agent.py` and its CLI entry point in `src/agt/cli.py`, deliberately kept small so it is easy to learn from; it currently ships a replaceable fake LLM that echoes a user's input back as streamed text chunks, so that wiring in a real model later only requires replacing the LLM call layer rather than rewriting the whole agent.

It uses Poetry for dependency management and runs with `poetry run agt`; it is written in Python with no license stated in the material's facts.

Website: https://github.com/tvytlx/ai-agent-deep-dive