GitHub-native · Passive detection · Structured exports

See how AI is showing up in your pull requests. Without changing how your team works.

Kraai connects to GitHub, watches repository activity, and records detected AI tool usage across pull requests, repositories, and reporting periods. It stays in the background and gives teams a clearer record of what happened.

Free for up to 3 repositories. No card required.

Detects activity from

GitHub Copilot Cursor Claude Code Windsurf Codeium + more

How it works

Install it once. Let it build the trail quietly.

Kraai sits behind the scenes and turns ordinary GitHub activity into something reviewable later.

01
Install

Install the GitHub App

Choose the repositories you want to monitor and let GitHub send activity back to Kraai. No agents, no local setup, no repository changes.

~2 minutes
02
Observe

Kraai watches every PR — silently

Pull requests, commits, and repository events are processed in the background so you can see where detected AI usage is appearing over time.

Always on
03
Export

Export your AI audit report

Generate a structured export when you need to review activity with engineering leaders, procurement, internal controls, or customers.

One click

Features

A clearer view of AI activity in GitHub.

Built for teams that want visibility first, then reporting and better attribution detail as usage grows.

👁️

Visibility

Track detected AI activity across repositories, pull requests, authors, and time windows in one place.

  • Per-tool usage trends
  • Repository and PR coverage
  • Recent detections and trends
🧾

Evidence

Export a structured record of detected AI activity when you need something you can share or archive.

  • Structured evidence export
  • Internal and customer review support
  • Timestamped audit log
🧠

Better signal

Paid plans add probabilistic inference and custom detection rules so teams can go beyond simple tool markers.

  • Probabilistic attribution
  • Custom detection rules
  • Org-level tuning

Pricing

Pricing that maps to usage.

Start with a few repositories, then upgrade for longer history, richer attribution, and broader workspace coverage.

Free

$0 /mo

For small teams evaluating Kraai in a few repositories.

  • Up to 3 repositories
  • 30-day audit history
  • Explicit AI tool detection
  • Live dashboard
  • Audit report export
  • Active enforcement
Get started free

Pro

$29 /mo

For teams that need longer history and stronger attribution detail.

  • Up to 15 repositories
  • 1-year audit history
  • Explicit AI tool detection
  • Probabilistic attribution higher signal
  • AI activity exports
  • Custom detection rules
Start Pro

Team

$79 /mo

For larger teams that need broader coverage and more operational headroom.

  • Up to 50 repositories
  • 3-year audit history
  • Explicit AI tool detection
  • Probabilistic attribution
  • Custom detection rules larger limit
  • Advisory AI features
Get started

All plans include the GitHub App and the core dashboard. If you need a larger plan than what is listed here, reach out.

When teams need a clearer record

Kraai is most useful when somebody asks, "Where is AI showing up in our codebase?"

Internal reviews, customer diligence, procurement conversations, and simple engineering curiosity all get easier when the answer is already organized by repository, period, and detected tool.

Engineering leadership

See which repositories have AI activity and where detection coverage is still thin.

Security and governance

Review exports and trends without trying to reconstruct activity from GitHub by hand.

Customer and audit prep

Have a cleaner answer ready when someone asks how AI is being used in delivery workflows.

Start with a few repositories.

Get the GitHub App installed, let Kraai collect activity for a while, and decide from real data whether you want deeper coverage.