rag-reviewer is an open-source CLI tool that uses AI, hybrid retrieval-augmented generation, and code graphs to review pull requests. It provides whole-repo context and generates inline GitHub comments grounded in exact code, streamlining code review for developers.
In the AI code review space, rag-reviewer takes a focused approach. It focuses on automating and improving pull-request code reviews with AI-driven contextual analysis and inline feedback. It is built as an open-source project for software developers and code reviewers. rag-reviewer is open source under the MIT license. It ships for the command line.
mimfort builds and maintains rag-reviewer, and it first shipped in 2026. Among its 5 catalogued features are AI code review, pull request analysis, and Hybrid RAG. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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