CI/CD control plane for GitHub and GitLab

Merge at agent speed
Never lose control

Let workflows do what they do best, from checks to builds to publishing. Your services deserve better: a pipeline that shows every deployment in flight, in one view. Run it all on our runners, on yours, or in your GitHub Actions.

01Why Pipemesh

Merging is no longer the slow part

With agents opening and landing pull requests, main moves many times an hour. With workflows, every merge is one more run to track, and when one fails you hunt through the next ones to learn whether your change ever got out.

Every merge starts its own run

Each run is an island. With several agents merging at once, the hunt never ends.

Pipemesh puts every change on one board

A pipeline orchestrates many releases at once and shows every change flowing through it, in a single view.

02One pipeline

Every deployment in flight, in one view

Revisions move through the same stages, and every stage shows the one it holds. Fifty merges are fifty revisions, not fifty runs.

What are we deploying right now, and where?

Look: each stage holds a revision, and each revision has its own color.

Colors that mean something

Every revision gets its own color

Follow it from merge to production, and see at a glance which one each environment holds.

03Fast only counts if green means green

Merge all day, and trust what ships

A broken revision never reaches production, and green never hides an environment that is behind.

Failures hold the line

A broken revision goes nowhere, staging and production keep the last good one, and the fix overtakes it.

Green means everything is green

With workflows the latest run can be green while production still misses an earlier change: the job that failed was skipped the next time, never fixed. The pipeline shows every environment that isn’t current.

04Ship only what changed

Deploy only what’s new

Artifacts flow with the revision by digest, and in a monorepo each service ships on its own.

Same bytes? Nothing to deploy

The build’s artifact comes out byte for byte the same, so its deploys have nothing to do.

Monorepos

A library change reaches exactly the services that depend on it. A README edit reaches none.

05Two workloads, one system

Deploying is not publishing

Most tools give you one shape of work and make you bend the other into it. Pipemesh has both, and a pipeline can start a workflow as one of its jobs.

Pipeline

For deployments: always moving, always current

“What are we deploying right now, and where?” Look.
Workflow

For checks and publishing: one trigger, one run

“Did the checks pass on my pull request?” Open it.
06A control plane

One place decides. Run the work anywhere

Pipemesh is a complete CI/CD on its own, and it sits just as well above what you already use. Keep your GitHub Actions as they are, and move a job when you want to.

07Features

What lets a team merge all day

Without anyone babysitting what ships.

Rollback to any revisionChoose a revision and the pipeline takes you back to it.
Matrix jobsFan out across targets. A broken lane never blocks the others.
Delivery metricsDeployment frequency, lead time and failure rate, from the pipeline itself.
An API for your agentsEverything on the board is one call away, for the agent that shipped the change.