For teams losing hours to slow GitHub Actions
Your team isn't slow.
Your CI is.
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.
The problem
Your team is not slow.
Your runner is.
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.
How it works
Faster CI in three steps. Zero migration.
No new platform to learn, no YAML rewrite. You keep GitHub Actions and swap the machine underneath it.
Connect your org
Install the Monk CI app on your GitHub organization and approve it once.
Change one line
Point your workflow at a Monk CI runner.
+ runs-on: monkci-ubuntu-latest
Push and ship
Same workflows, same secrets, dedicated hardware. Roll back in 30 seconds, anytime.
Same YAML. Different speeds.
A real Rust build (Helix). Same workflow file — two runner models.
Rust (Helix)
Faster
Per Build Saved
* Benchmark measured from a real GitHub Actions workload. Same workflow YAML, different runner infrastructure.
The part no other runner does
Build broke at 2am? The PR is already open.
Monk CI does not just tell you what failed. The AI reads the failing logs, isolates the root cause, and opens a candidate fix PR for your review. No 3am page, no scrolling through 8,000 lines of CI output.
AI remediation is in active development. Accuracy improves with each build and varies by error complexity.
What you get
More speed, less to manage.
3x faster compute
Dedicated, co-located runners with up to 32 vCPUs. Not shared, throttled machines.
40x faster Docker
Remote layer synchronization, cache bypasses storage bottlenecks.
4x faster cache
Persistent SSD caching restores dependencies at near-instant speed.
AI auto-healer
Failed pipelines get an automatic root-cause fix PR, opened for your review.
The honest comparison
Monk CI vs GitHub-hosted runners
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
Pay for minutes, not seats.
Pay as you go at $0.002 per vCPU-minute, so a 4 vCPU runner is $0.008 a minute. No seat fees, no subscription. Start with 5,000 free runner minutes a month, no credit card.
Claim your 5,000 free minutesBefore you switch
Questions engineering teams ask first
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.
Let your CI fix itself.
One line to migrate, zero risk.
Faster builds, lower bills, and an AI agent that opens the fix PR before you have seen the failure. Claim your free minutes and run your first build today.