Best open-source AI repos for AI code review (2026): Juror, OpenQodex and code-review-graph

What is the best open-source AI code review tool?

The best open-source AI repos for AI code review right now are Juror, OpenQodex and code-review-graph. Use Juror to put several models on every pull request through GitHub Actions, OpenQodex to review a change locally before you push with your own Claude Code or Codex login, and code-review-graph to give any AI reviewer only the code a change touches.

Comparison

Repo	What it does	Stars	Start here
Juror Juror-AI/juror · TypeScript	Juror is a GitHub Action and CLI that has several frontier models review each pull request in parallel, merges duplicate findings, and posts one review with a merge score and cost receipt.	n/a	Add multi-model AI review to every pull request Intermediate, 30 minutes
OpenQodex openqodex/openqodex · TypeScript	OpenQodex is an open source tool that reviews your code change before you push, combining scanners with a separate AI reviewer that uses your own Claude Code or Codex login.	789	Try OpenQodex on a demo repo with planted bugs Beginner, 15 minutes
code-review-graph tirth8205/code-review-graph · Python	code-review-graph builds a local Tree-sitter knowledge graph of your codebase and serves precise review context to AI coding tools over MCP and CLI, so they read only what matters.	n/a	Give your AI reviewer only the code that matters Beginner, 15 minutes
CodeAF Agent-Field/CodeAF · Go	CodeAF is an open-source Go coding harness for open models that runs as one local binary, with specialist subharnesses for coding, security audits and pull request reviews.	549	Audit local code changes for security problems Intermediate, 30 minutes
diff-tour init-co-jp/diff-tour · Go	diff-tour is a read-only terminal app that turns a git change into a guided tour explaining what the change is for and what to check.	197	Learn why a branch change is written that way Intermediate, 15 minutes
first-pass joetawil7/first-pass · JavaScript	first-pass is a set of rules, skills and checks for coding agents that makes them review the code around a change, prove their work, and fix bugs as a class.	121	Check your own branch before asking for review Intermediate, 30 minutes

When to pick which

Juror Juror-AI/juror

Juror is a GitHub Action and CLI that has several frontier models review each pull request in parallel, merges duplicate findings, and posts one review with a merge score and cost receipt.

Best for: Teams who want multi-model AI code review running on their own GitHub Actions with their own provider keys.

Needs: A GitHub repository with Actions; Provider API keys such as OpenAI and Fireworks; GitHub CLI for setting secrets

Start here: Add multi-model AI review to every pull request Intermediate, 30 minutes

Export your key with export JUROR_OPENAI_API_KEY=…
Run npx juror-ai init --set-secrets in the repository
Or preview changes first with npx juror-ai init --dry-run
Open a pull request and read the posted review

All 3 use cases GitHub

OpenQodex openqodex/openqodex

OpenQodex is an open source tool that reviews your code change before you push, combining scanners with a separate AI reviewer that uses your own Claude Code or Codex login.

Best for: Developers and the AI coding agents they use, who want a local review of unpushed and uncommitted changes before a push or pull request.

Needs: Node 22 or newer, and git; macOS or Linux (no test runs on Windows or WSL); Claude Code or Codex installed and logged in for a full review; A repository you can run commands in

Start here: Try OpenQodex on a demo repo with planted bugs Beginner, 15 minutes

Make sure Node 22 or newer and git are installed.
Run npx openqodex demo.
Read the printed receipt and the findings it lists.
Open the report file the demo names to see the full output.

All 4 use cases GitHub

code-review-graph tirth8205/code-review-graph

code-review-graph builds a local Tree-sitter knowledge graph of your codebase and serves precise review context to AI coding tools over MCP and CLI, so they read only what matters.

Best for: Developers using AI coding tools on large repositories who want cheaper, more precise code reviews.

Needs: Python with pip or pipx; A supported AI coding tool

Start here: Give your AI reviewer only the code that matters Beginner, 15 minutes, works with claude-code, codex, cursor, gemini-cli

Install: pip install code-review-graph (or pipx)
Run code-review-graph install to detect your AI tools and write an MCP server entry, hooks and rules for each
Run code-review-graph build to parse the codebase (about 40 seconds for a 3,000 file repo)
Hooks and watch mode keep the graph updated as files change

All 3 use cases GitHub

CodeAF Agent-Field/CodeAF

CodeAF is an open-source Go coding harness for open models that runs as one local binary, with specialist subharnesses for coding, security audits and pull request reviews.

Best for: Software developers and teams who want to run coding, review and audit work with open models from one local window or a headless command.

Needs: macOS or Linux machine with a terminal; A provider key (OpenRouter, DeepSeek, GLM, Kimi, MiniMax, Qwen), a ChatGPT plan through Codex, or a running Ollama install; A git repository for the project you want to work on; Install CodeAF with the curl script, or build it from source with make build

Start here: Audit local code changes for security problems Intermediate, 30 minutes

Run curl -fsSL https://agentfield.ai/get/codeaf | bash and then codeaf.
Connect a provider on first start, in the browser through OpenRouter or with a key.
Open the project's folder in CodeAF and type /sec changes since main.
Open the sec task to follow the work, then read the findings and the coverage notes in the report.

All 5 use cases GitHub

diff-tour init-co-jp/diff-tour

diff-tour is a read-only terminal app that turns a git change into a guided tour explaining what the change is for and what to check.

Best for: Developers and team leads who need to understand or review a git change, including changes an AI agent wrote, and who already have one of the supported LLM CLIs signed in.

Needs: git installed; One of Claude Code, Codex CLI, Gemini CLI, OpenCode or Copilot CLI, installed and signed in; A git repository with a change to tour

Start here: Learn why a branch change is written that way Intermediate, 15 minutes, works with claude-code, codex, gemini-cli

Run curl -fsSL https://raw.githubusercontent.com/init-co-jp/diff-tour/main/install.sh | sh
Run cd your-repo
Run tour, press Enter twice in Setup the first time, then pick the current branch and press Enter
Wait 2 to 5 minutes while the tour is written

All 5 use cases GitHub

first-pass joetawil7/first-pass

first-pass is a set of rules, skills and checks for coding agents that makes them review the code around a change, prove their work, and fix bugs as a class.

Best for: Developers who use Claude Code, or Cursor and Codex, on repos they work on and want agents to check the surrounding code before calling work done.

Needs: Claude Code to install the plugin (Cursor and Codex get the rules and skills, but hooks are Claude Code only); A folder that holds your repos, where you start your sessions; Git repos with a branch to review, for the review use case (GitHub access is needed to read pull requests, inferred from the README)

Start here: Check your own branch before asking for review Intermediate, 30 minutes, works with claude-code

Run /plugin marketplace add joetawil7/first-pass in Claude Code.
Run /plugin install first-pass@first-pass.
In the folder where you start your sessions, run /first-pass:setup-first-pass.
Check out your branch in the repo, then run /first-pass:review with nothing after it.

All 4 use cases GitHub

Use cases for AI code review

Add multi-model AI review to every pull request Juror
Review a single pull request from your terminal Juror
Check hosted review findings from an MCP client Juror
Try OpenQodex on a demo repo with planted bugs OpenQodex
Review your change before you push it OpenQodex
Review a pull request on your machine before merging OpenQodex
Give your AI reviewer only the code that matters code-review-graph
Set up the graph for one specific tool code-review-graph
Remove the integrations cleanly code-review-graph
Audit local code changes for security problems CodeAF
Review a GitHub pull request with findings and reasons CodeAF
Hand a coding fix to senior-dev on its own branch CodeAF
Learn why a branch change is written that way diff-tour
Tour uncommitted changes before you commit them diff-tour
Reopen a saved tour without waiting for the LLM again diff-tour
Check your own branch before asking for review first-pass
Fix a bug and every same-pattern copy in one pass first-pass
Answer ten pre-code questions before writing a feature first-pass

Questions

What is the best open-source AI code review tool?

Which repo for AI code review is easiest to start with?

OpenQodex: its starter use case "Try OpenQodex on a demo repo with planted bugs" is rated Beginner and takes about 15 minutes.

How do I get started with Juror?

Export your key with export JUROR_OPENAI_API_KEY=…; Run npx juror-ai init --set-secrets in the repository; Or preview changes first with npx juror-ai init --dry-run. Full steps and a copy-paste agent prompt: https://dedupedai.com/use-cases/juror-ai-juror/multi-model-pr-review-in-github-actions/

Are these AI code review repos free?

They are open-source projects on GitHub (check each license; some, like fair-code projects, limit commercial use). Some also sell a hosted version or need a paid model API key; the requirements for each repo are listed on this page.

How is this list of AI code review repos chosen?

Deduped tracks the hottest AI repos on GitHub and writes step-by-step use cases from each README. For this page we picked the repos that do this job, ordered by fit and then GitHub stars. Repos with a risk flag or a retired page are left out. The page is rebuilt with the site; stars are as of the last build in 2026.

What is the best open-source AI code review tool?

Comparison

When to pick which

Juror Juror-AI/juror

OpenQodex openqodex/openqodex

code-review-graph tirth8205/code-review-graph

CodeAF Agent-Field/CodeAF

diff-tour init-co-jp/diff-tour

first-pass joetawil7/first-pass

Use cases for AI code review

Questions

More answers