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Pullfrog

An open-source GitHub bot that runs AI agents to review PRs, triage issues, fix CI failures, and ship code using any LLM provider.

Open Source Alternative to:

This is a preview only. Pullfrog will be published on June 2, 2026.

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Pullfrog is an AI-powered GitHub bot that automates the repetitive parts of software development directly inside your existing workflow. It listens for GitHub events and triggers agent runs in response: a PR opens, a review is submitted, CI fails, a merge conflict appears. No separate dashboard to babysit. Just tag @pullfrog anywhere, or configure automations to fire on their own.

It runs on GitHub Actions, which means it lives in your repo and uses infrastructure you already have. There's nothing new to learn about where your code runs.

What it can do out of the box:

  • PR review – automatically reviews incoming pull requests and leaves structured comments
  • Issue triage – labels and categorizes new issues based on your instructions
  • CI autofix – detects failures on its own PRs and attempts fixes; can be configured for human PRs too
  • Merge conflict resolution – identifies and resolves conflicts automatically
  • Plan and PRD generation – drafts technical plans from issue descriptions
  • Review iteration – when you leave comments on a Pullfrog-created PR, it addresses them and updates you
  • Headless browser – runs end-to-end tests, takes screenshots, and iterates on UI without extra setup

Unlike tools such as CodeRabbit or OpenHands, Pullfrog is model-agnostic. It works with Anthropic, OpenAI, Google, Mistral, DeepSeek, OpenRouter, and more. API keys are stored as GitHub secrets and passed with least-privilege access. Short-lived installation tokens are auto-revoked after each run, so credentials don't linger.

Security is handled at the architecture level. Shell commands run in an isolated subprocess with no access to sensitive environment variables. A purpose-built MCP server handles all git and GitHub operations, with permission checks that prevent the agent from pushing to protected branches or touching repos it shouldn't see.

Pricing is pay-as-you-go at $0.07 per run (plus model costs), with 30 free runs per month and no card required to start. Open source projects can apply for free full access.

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