The agent-native GitHub Actions alternative
Fix the failure while the run is still live.
Slipstream streams agent-readable logs while the run is live, lets coding agents diagnose failures and prove fixes in a guarded sandbox over MCP, then follows the rerun through merge and deploy to verified live.
- Same required check
- Repo-owned recipe
- Turn it off anytime
Replay comparison
Same commit · same failure
One signal. Two feedback loops.
8-second comparison
FAIL — retry.test.ts
Failure emitted at 0:42
Slipstream
agent acts now
- 0:42 — Stream
- 0:51 — Diagnose
- 1:17 — Sandbox
- 2:06 — Green
GitHub Actions
agent waits
- 5m 30s of polling, no agent-actionable signal
- 6:12 — Run completes
Fixed and green 4m 06s before the GitHub Actions run completes
Time to agent action.
- Mid-run — agent-readable logs
- MCP — follow · diagnose · rerun
- Verified live — deploy + health evidence
The live control loop
The debug loop starts inside the run.
GitHub Actions makes the run the boundary. Slipstream turns the running CI/CD pipeline into a control surface your agent can inspect and steer.
PR #482 — payments/retry
Live run
- 0:42 — Failure streamed — retry.test.ts · expected 200, got 500
- 0:51 — diagnose — 5xx retry branch is missing
- 1:17 — run_sandbox — fix proven in a guarded sandbox
- 1:34 — rerun — failed stage only
Green at 2:06 — Required GitHub check posted
01 — 00:42
Failure streams live
The run is still active when the agent gets the first useful signal.
02 — 00:51
Agent diagnoses over MCP
Structured context replaces downloading logs and relaying them by hand.
03 — 01:17
Fix proven in a guarded sandbox
The agent verifies its change without touching the production required check.
04 — 02:06
Failed stage reruns to green
Slipstream posts the same required GitHub check.
Built for agentic workflows
CI your agent can operate.
Faster compute helps. A programmable feedback loop changes what AI coding agents can do before a human ever opens a log page.
01
Stream the signal, not a log archive.
Agents follow structured output while tests run. The first failure becomes actionable immediately.
live logs
02
Steer the run over MCP.
Follow, diagnose, sandbox, rerun, and inspect status through explicit tools instead of editing workflow YAML.
agent control
03
Prove the fix before green.
Agents prove changes in a guarded sandbox run, then rerun only what failed. Humans stay out of the relay loop.
safe iteration
MCP in one step
Put Slipstream in your agent.
Connect live run control to the tool your team already uses.
- Install for Codex
- Install for Claude Code
- Install for Cursor
- Install for VS Code
Copies the ready-to-run command or MCP config.
GitHub Actions vs Slipstream
Same GitHub check. A very different loop.
Slipstream keeps the GitHub contract developers already understand, then replaces waiting and manual relay with a live agent interface.
| The moment | GitHub Actions | Slipstream |
|---|---|---|
| First useful feedback | A log page a human watches | Structured stream agents parse mid-run |
| Agent interface | Poll, parse, and wait | Native MCP tools |
| Failure loop | Human reads → edits → reruns | Agent diagnoses → proves → reruns |
| Run definition | Workflow YAML as control surface | Repo-owned recipe + live control |
| Terminal state | A green check | Verified live: deploy + health evidence |
Reversible by design
Move one repo. Keep your exit.
Adopt Slipstream without turning migration into a platform project. The required check stays in GitHub, the recipe stays in your repo, and rollback stays one switch away.
01
Connect GitHub
Install the app for the repo you want to move.
02
Add the recipe
Keep the build-and-ship contract beside the code.
03
Switch the check
Same pull request flow. Turn it off anytime.
Questions developers ask
A GitHub Actions alternative built for agents.
- Is Slipstream a GitHub Actions alternative?
- Yes. Slipstream is an agent-native CI/CD platform that replaces GitHub Actions as the engine behind your existing required check: it tests every push, ships every merge, and gives AI coding agents live MCP control of the run. Pull requests and the green check stay in GitHub.
- What makes Slipstream different from faster GitHub Actions runners?
- Faster runners shorten execution. Slipstream also moves feedback and control into the live run, so agents can read failures, diagnose them, prove fixes in a guarded sandbox, and rerun without waiting for the whole workflow to finish.
- Can coding agents control CI directly?
- Yes. Slipstream exposes explicit MCP tools for following runs, diagnosing failures, running guarded sandbox checks, and rerunning failed work. The agent uses structured operations instead of scraping a dashboard.
- Do we have to leave GitHub?
- No. Pull requests and required checks stay in GitHub. Slipstream replaces the slow execution and feedback loop behind that check, and you can disable it at any time.
Tests every push · Ships every merge
Give your agents control of the run.
Start the debug loop at the first failure—and follow it all the way to verified live.