MergeMate

AI-powered pull request review and automation.

MergeMate automates code review workflows by providing AI-generated feedback, suggestions, and documentation for pull requests. It integrates with major git providers and supports multiple AI models.

Why MergeMate?

• Fast & Efficient: Each tool (/review, /improve, /ask) uses a single LLM call
• Handles Any PR Size: Built-in compression strategy processes both small and large PRs
• Highly Customizable: Configuration-driven behavior via .mergemate.toml
• Platform Agnostic: GitHub, GitLab, Bitbucket, Azure DevOps, Gitea
• Multi-Model Support: OpenAI, Claude, Deepseek, and more
• Self-Hosted: Full control over your data and infrastructure

Quick Start

# AI-powered setup — auto-detects your project
mergemate-review init

# Or specify details
mergemate-review init --model deepseek/deepseek-v4-flash --language python --project-type web

This generates .mergemate.toml + GitHub Actions workflow. Add your API key as a repo secret, done.

Manual

# .github/workflows/mergemate.yml
name: MergeMate
on:
  pull_request:
    types: [opened, synchronize]
jobs:
  review:
    runs-on: ubuntu-latest
    steps:
      - uses: mergemate/mergemate@main
        env:
          OPENAI_KEY: ${{ secrets.OPENAI_KEY }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

CLI

pip install mergemate-review
export OPENAI_KEY=your_key_here
mergemate-review --pr_url https://github.com/owner/repo/pull/123 review

Docker

docker run -e OPENAI_KEY=$OPENAI_KEY \
  mergemate/mergemate review \
  --pr_url https://github.com/owner/repo/pull/123

Features

Platform Support

Core Capabilities

• PR Compression: Adaptive file patch fitting for any PR size
• Dynamic Context: Automatically gather relevant project context
• Ticket Context: Fetch linked issue/ticket information
• Interactivity: Respond to comments and follow-up questions
• Self-Reflection: Review and improve its own output
• Multi-Model: Switch between AI providers via configuration

Configuration

MergeMate is configured via .mergemate.toml in your repository root. See mergemate/settings/configuration.toml for all available options.

[config]
model = "gpt-4"
git_provider = "github"

[pr_reviewer]
extra_instructions = "Focus on security and performance"

Data Privacy

MergeMate is self-hosted — your code never leaves your infrastructure. API calls go directly from your deployment to your chosen AI provider (OpenAI, Anthropic, etc.).

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

Proprietary. All rights reserved.