I built RunTrace, a small local-first CLI for preserving the context behind ML experiments — looking for honest feedback

Hi r/mlops , I’m a student working on machine-learning experiments, and I kept running into a very ordinary problem: after several runs, I could no longer answer exactly which Git commit, configuration, and Python environment had produced a particular result. I built RunTrace to address that problem. RunTrace is a small, open-source, local-first Python CLI that records the reproducibility context around an experiment. Its scope is intentionally narrow: it is not trying to replace MLflow, Weights & Biases, or another full experiment-tracking platform. It currently records: Git commit, branch, d