GitPT

Most git workflow tools assume you want to call OpenAI. GitPT assumes you don’t. It wraps the `git commit` command so that when you commit, staged changes are passed to a locally running model — Ollama, LM Studio, or Apple Foundation Models — and a message comes back. Every other git command passes through to the real git binary untouched, so you can alias `git` to `gitpt` system-wide without disrupting anything except the one command that matters.

The differentiating design decision is that it is built around the limitations of small on-device models, not the capabilities of large remote ones. The docs describe it as built for the case where your model holds only a few thousand tokens of context, which means the diff must be trimmed and framed precisely or the output degrades. That is the problem the tool was written to solve — not convenience over GPT-4, but correctness on a model that fits in 8 GB of RAM.

GitPT fits a solo developer or a small team that has already committed to a local LLM stack and wants commit message generation that stays entirely on-device. It ships with commitlint configuration support, so teams with conventional commit standards can gate generated messages against those rules. The ceiling appears on large diffs or complex monorepo changes where a small model loses coherence, and on teams whose commitlint rules require precise scope conventions the model was not tuned to produce — at which point engineers end up editing messages manually anyway, which removes most of the time savings.