Pullfrog
by Pullfrog · Open-source GitHub agent bot that runs in GitHub Actions
BenchRank score
Screenshots of Pullfrog
Homepage
Overview
Pullfrog is a GitHub bot that runs AI agents inside your own repo's GitHub Actions through a pullfrog.yml workflow. It listens for GitHub events — PRs opened, issues created, reviews submitted, CI failures — and starts agent runs from your configuration, or when someone mentions @pullfrog. Agents get a purpose-built MCP server for git and GitHub operations plus a headless browser.
- Best for
- GitHub teams wanting PR review, issue triage and CI fixes run by agents in their own Actions
- Pricing
- Free for personal GitHub accounts, $30/month per organisation for Pro, and a custom-priced Enterprise tier listed as coming soon.
Strengths and trade-offs
Strengths
- Works with any LLM provider; switch models via config change
- Flat $30/month per org, no per-run or per-seat billing
- Keys kept as GitHub secrets; short-lived install token per run
- Built-in headless browser and a GitHub/git MCP server
Trade-offs
- GitHub only; needs a pullfrog.yml workflow added to the repo
- Free tier covers personal accounts only; orgs pay $30/month
- Model spend is separate: BYOK, or Router billed at provider cost
- SSO, audit logs and SOC 2 sit in an Enterprise tier marked coming soon
How Pullfrog markets itself
A structured read of the promise, proof and page design on Pullfrog’s captured homepage.
Homepage capture
“The open-source CodeRabbit alternative that runs in GitHub Actions”
- Angle: Contrarian / anti-incumbent
- Hero: Product screenshot
Pricing
Published plans and prices from Pullfrog’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Pullfrog pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
Claim Pullfrog to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.