For teams losing hours to slow GitHub Actions
Monk CI makes GitHub Actions 10x faster. One line to switch.
Builds crawl past 20 minutes. The cache drags. Jobs wait for a runner while your engineers lose the thread and the bill climbs. Monk CI is the AI-native runner replacement that ends the wait, with the same workflows, one line of YAML, and up to 75% lower cost.
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The problem
GitHub-hosted runners are shared, throttled machines. Builds crawl past 20 minutes. The cache restores slowly. Jobs wait for a runner while your engineers context-switch away and the bill climbs with every push. It is a tax on velocity, and it never shows up on a dashboard.
Between push and merge
Two checks run beside every pipeline: one fixes the build that broke, the other stops unsafe code reaching main.
When a build fails
It reads the whole failing job, isolates the root cause, and pushes a candidate patch for review.
prisma client not generated
Opened PR #482 — add prisma generate
When a pull request opens
Four scanners read the diff for secrets, vulnerable code, dependency CVEs and risky infrastructure.
AWS access key in config/deploy.yml
2 critical findings — blocked in Active mode
AI remediation is in active development. Shield is in beta and enabled per organization.
How it works
No new platform to learn, no YAML rewrite. You keep GitHub Actions and swap the machine underneath it.
Install the Monk CI app on your GitHub organization and approve it once.
Point your workflow at a Monk CI runner.
Same workflows, same secrets, dedicated hardware. Roll back in 30 seconds, anytime.
A real Rust build (Helix). Same workflow file — two runner models.
Faster
Per Build Saved
* Benchmark measured from a real GitHub Actions workload. Same workflow YAML, different runner infrastructure.
What you get
Dedicated, co-located runners with up to 32 vCPUs. Not shared, throttled machines.
Remote layer synchronization, cache bypasses storage bottlenecks.
Persistent SSD caching restores dependencies at near-instant speed.
Failed pipelines get an automatic root-cause fix PR, opened for your review.
The honest comparison
Keep your workflows. Change the machine underneath, and what your team waits on disappears.
| Monk CI | GitHub-hosted runners | |
|---|---|---|
| Build speed | Up to 10x faster | Shared, throttled baseline |
| Docker builds | 40x faster | Storage-bound |
| Actions cache | 4x faster | Slow restore |
| Cost | Up to 75% lower | Climbs with size and frequency |
| Infrastructure to manage | None, fully managed | None, but limited and throttled |
| When a build fails | AI opens a fix PR | You debug it |
| Migration | One line of YAML | n/a |
Pricing
Plans start at $20 a month for 5,000 build minutes, with unlimited users on every tier. Go past your minutes and you pay $0.004 a minute on a 2-vCPU runner, nothing more. Start with a 14-day trial and 5,000 free minutes, no credit card required.
Claim your 5,000 free minutesBefore you switch
Yes. Monk CI runs on GitHub Organizations, built for teams that manage repositories and access through an org. Personal accounts are not supported.
No. Your GitHub Actions workflows, secrets, triggers, and steps stay exactly as they are. The only change is one line: the runs-on label.
Every job runs in a fully isolated, ephemeral VM that is destroyed on completion. No code persists between runs.
Change the one line back and you are on GitHub-hosted runners again in 30 seconds. Monk CI sits alongside GitHub Actions, not underneath it.
All of them. Matrix builds, reusable workflows, composite actions, GitHub secrets, OIDC tokens, and workflow_call all work exactly as they do on GitHub-hosted runners.
Faster builds, lower bills, and an AI agent that opens the fix PR before you have seen the failure. Start your 14-day trial and run your first build today.