Marx spins up multiple AI agents in Docker containers, each reviewing your PR independently. It merges their findings, removes duplicates, and gives you a pending GitHub review you can edit before submitting.
Screenshots
Features
- Parallel multi-agent reviews with automatic deduplication
- YOLO-mode agents run in Docker with review tools and PR context
- Create a pending GitHub review from merged issues (edit before submit)
- Structured review outputs with a merged summary
- Interactive PR selection (excludes your own PRs and PRs assigned to you)
- Works with local CLI configs or API keys (config dirs are mounted into containers)
- JSON output for automation via
--json-output
Prerequisites
git- gh (authenticated)
docker
Install
Need Nix or a source install? See Installation.
Configure
Create ~/.marx with your GitHub token and any agent keys you want to use.
The GitHub token must be a classic PAT with the repo scope
(details):
cat > ~/.marx <<'MARX' GITHUB_TOKEN=ghp_your_token_here ANTHROPIC_API_KEY=your_claude_key OPENAI_API_KEY=your_openai_key GEMINI_API_KEY=your_gemini_key MARX
If you already use the agent CLIs locally, Marx copies ~/.claude, ~/.codex, and ~/.gemini
into the containers so those configs work there too. API keys are optional.
See Configuration for details.
Use
# Interactive PR selection marx # Review a specific PR with all agents marx --pr 123 --agents claude,codex,gemini # Machine-readable output marx --pr 123 --json-output