Local-first AI review for serious codebases

Your coding agent should not grade its own homework.

Argus gives you an independent reviewer with structural maps, semantic search, git history, and diff-aware analysis, so the model reviewing the code is not the same one that just wrote it.

Star on GitHub Install

local-first OpenAI / Anthropic / Gemini one binary CLI + MCP independent review

$ git diff HEAD~1 | argus review --repo .

review surface:
  repomap      loaded
  semantic     indexed
  git history  loaded
  diff lens    loaded

finding: hidden regression risk
reason: changed auth boundary without matching tests
confidence: high

recommendation:
  add a test around token refresh and retry ordering

Why Argus

AI code review that actually understands your codebase.

Most AI review workflows reuse the same shallow context that produced the patch. Argus takes the opposite stance: review should be independent, repository-aware, and composable enough to fit a real developer workflow.

Independent by design

The value proposition is simple and memorable: one model writes, a different review surface critiques. That reduces self-confirming output.

Full-repo context

Structural maps, semantic search, git history, and cross-file analysis keep the review anchored in the actual codebase instead of just the diff.

Provider choice

Switch between OpenAI, Anthropic, and Gemini without changing the workflow. Gemini free tier keeps the first trial low-friction.

One binary, nine tools

Repomap, difflens, codelens, gitpulse, review, feedback, describe, doctor, and MCP support can be used together or as Unix-style pieces.

Review surface

Move from raw diff review to evidence-backed review.

Argus is strongest when teams want more than a pass or fail. It gives the reviewer evidence about file relationships, history, and likely impact, so review comments can be specific instead of generic style feedback.

What Argus adds

Repository maps and code navigation context
Semantic search to find similar patterns before commenting
Git history signals for churn and ownership clues
Provider-agnostic review orchestration

Where it fits

Use it locally before a pull request, in CI as a review gate, or through MCP when you want an IDE or agent workflow to call into the same review engine.

Install

Start with the package manager you already trust.

Argus is published across Rust and npm surfaces. The fast path is to initialize config once and then pipe a diff into review.

npm

npx argus-ai init
export GEMINI_API_KEY=your-key
git diff HEAD~1 | npx argus-ai review --repo .

cargo

cargo install argus-ai
argus init
git diff HEAD~1 | argus review --repo .