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AI-powered open source maintainer agent

Project description

RepoKeeper 🤖

CI codecov PyPI Python

AI-powered open source maintainer agent.

RepoKeeper automates the tedious parts of open source maintenance: community monitoring, dependency updates, CI diagnosis, stale issue detection, and AI-powered PR creation — all driven by a single YAML profile that describes your maintainer preferences.

Modules

# Module What it does
🔭 Community Radar Monitors GitHub issues/discussions for keywords, AI-classifies posts, drafts issues, sends notifications
🔍 Daily Patrol Scans dependencies, diagnoses CI failures, finds stale issues, generates health scores
🤖 Implementation Agent Reads issues + codebase, implements code changes, opens a PR for your review
👤 Maintainer Profile YAML config describing your style, tone, PR standards, and tech preferences

Quick Start

Install the CLI:

pip install repokeeper

Create a maintainer profile:

repokeeper init --workflows
# repokeeper.yml — place this in any repo
maintainer: your-github-username

radar:
  keywords: [bug, crash, security, feature request]

patrol:
  schedule: "0 8 * * 1-5"

agent:
  model: deepseek-chat

Then label an issue agent-todo or comment @repokeeper go.

You can also run modules directly:

repokeeper profile validate
repokeeper radar --repo owner/repo
repokeeper patrol --repo owner/repo --summary
repokeeper agent --repo owner/repo --issue 42

Documentation

Full docs: https://shenxianpeng.github.io/repokeeper

Requirements

  • Python 3.11+
  • GitHub Actions enabled
  • DeepSeek API key (or any OpenAI-compatible API)

For the Implementation Agent, enable Settings → Actions → General → Allow GitHub Actions to create and approve pull requests, or provide a REPOKEEPER_GITHUB_TOKEN secret with write access to contents and pull requests.

License

MIT

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