Agentic Pipeline
Closed beta — request access

The agent-native GitHub Actions alternative

Fix the failure while the run is still live.

Agentic Pipeline streams agent-readable logs while the run is live, lets coding agents diagnose failures and rerun failed work over MCP, then follows the rerun through merge and deploy to verified live.

Replace GitHub Actions
  • Required GitHub check
  • Auto Profile — no recipe required
  • Turn it off anytime
Same commit · same failure

One signal. Two feedback loops.

8-second comparison
FAIL
retry.test.tsFailure emitted at 0:42
Fixed and green 4m 06s before the GitHub Actions run completesTime to agent action.
Mid-runagent-readable logs
MCPfollow · diagnose · rerun
Verified livedeploy + health evidence

The live control loop

The debug loop starts inside the run.

GitHub Actions makes the run the boundary. Agentic Pipeline turns the running CI/CD pipeline into a control surface your agent can inspect and steer.

PR #482payments/retry
Live run
0:42
Failure streamedretry.test.ts · expected 200, got 500
diagnose5xx retry branch is missing
rerunfailed stage only
Green at 2:06Required GitHub check posted
  1. 01Failure streams live

    The run is still active when the agent gets the first useful signal.

  2. 02Agent diagnoses over MCP

    Structured context replaces downloading logs and relaying them by hand.

  3. 03Agent reruns only what failed

    The failed stage reruns without waiting for the whole workflow to finish.

  4. 04Green on the required check

    Agentic Pipeline 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, rerun, and inspect status through explicit tools instead of editing workflow YAML.

agent control
03

Rerun only what failed.

Agents read the diagnosis, then rerun only the failed work. Humans stay out of the relay loop.

fast iteration

MCP in one step

Put Agentic Pipeline in your agent.

Connect live run control to the tool your team already uses.

Copies the ready-to-run command or MCP config.

GitHub Actions vs Agentic Pipeline

A required GitHub check. A different delivery loop.

GitHub Actions supports automated workflows, API-driven reruns, and deployments. Agentic Pipeline brings pipeline detection and delivery evidence into a native MCP interface for coding agents.

The moment GitHub Actions Agentic Pipeline
Run feedbackJob logs and workflow run statusStructured stream agents parse mid-run
Agent interfaceWorkflow configuration and REST APINative MCP tools
Failure loopInspect logs and rerun jobs via UI or APIAgent diagnosis and reruns over MCP
Run definitionRepository workflow YAMLAuto Profile; existing recipes take precedence
Delivery evidenceWorkflow and deployment statusRun and deployment evidence over MCP

Start with one repository

Move one repo. Keep your exit.

Start with Auto Profile: the pipeline is detected from your repository’s manifests, with no recipe required. Verify the new check before changing branch protection, and coordinate which system deploys. Returning to your previous pipeline requires restoring those responsibilities; rolling back an application is a separate operation.

Read the migration example
  1. 01Connect GitHub

    Install the app for the repo you want to move.

  2. 02Start with Auto Profile

    Use your manifests to detect the pipeline. An existing repo-owned recipe still takes precedence.

  3. 03Verify, then switch

    Confirm the new check and its source, then coordinate branch protection and deployment ownership.

Questions developers ask

A GitHub Actions alternative built for agents.

Is Agentic Pipeline a GitHub Actions alternative?

Yes. Agentic Pipeline 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 Agentic Pipeline different from faster GitHub Actions runners?

Faster runners shorten execution. Agentic Pipeline also moves feedback and control into the live run, so agents can read failures, diagnose them, and rerun without waiting for the whole workflow to finish.

Can coding agents control CI directly?

Yes. Agentic Pipeline exposes explicit MCP tools for following runs, diagnosing failures, 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. Agentic Pipeline 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.

Open dashboard