Autoresearch

Autoresearch is an open-source project by Andrej Karpathy that lets AI agents run autonomous machine learning research loops on a small but real LLM training setup. The repository is designed so an agent edits the main training file, launches a fixed 5-minute experiment, evaluates whether the result improved, and then keeps or discards the change before repeating the cycle. Its README describes the setup as a lightweight autonomous research organization driven by instructions in a program.md file rather than traditional manual code iteration. The project is built around a simplified single-GPU nanochat training workflow and is aimed at developers and researchers exploring automated model improvement, agent-driven experimentation, and compact research loops on their own hardware. :contentReference[oaicite:0]{index=0}