Gito
Open-source AI code reviewer for GitHub and GitLab with local models.
About
Gito (Nayjest/Gito, MIT) is an open-source AI code reviewer for GitHub and GitLab that runs locally via CLI or in CI/CD pipelines through GitHub Actions and GitLab CI. Its standout feature is first-class support for self-hosted models: it works with any LLM provider including Ollama, vLLM, llama.cpp, SGLang, and LM Studio, enabling fully private reviews where code never leaves your infrastructure.
The project was at v4.5.0 as of September 2026, supports GitHub and GitLab (beta) with Bitbucket planned, and positions itself as a lightweight alternative to heavier review platforms. Limitations: it is a small community project with limited documentation and support, feature depth is narrower than platform-grade reviewers like Kodus or PR-Agent, and review quality on fully local small models may be weaker than with frontier cloud models.
What it can do
- AI code reviews on GitHub and GitLab pull requests
- Local CLI and CI/CD deployment modes
- Self-hosted model support (Ollama, vLLM, LM Studio, SGLang)
- Fully private reviews with no code leaving your infra
- Lightweight setup with minimal configuration
Setup
Install the CLI, configure your model provider (cloud API key or local Ollama/LM Studio endpoint), and add the CI workflow or run locally.
Prerequisites
A GitHub or GitLab repo; an LLM provider or local model server.
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 68; Trending score 58/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.