Evolyth

Evolyth is an autonomous AI research loop that improves machine-learning models through repeated mutation, execution, evaluation, and review. A Claude-powered coding agent proposes safe architecture changes, the system runs training jobs locally or on Google Cloud Run GPUs, then a reviewer agent analyzes the result and queues the next promising experiments. The project includes a live dashboard showing evolution progress, leaderboard, queue state, AI R&D cost, and total evolution time. It is designed to make model experimentation faster, more observable, and more reliable.