Dagger
Portable CI/CD engine using a DAG execution model with caching so pipelines run identically locally or in the cloud
Dagger now runs the engines for you and reports CI per test, not per job.
◆Recent moves
- 23d ago
GitHub merge queues
Dagger checks now run inside GitHub merge queues, so teams can mark them required and the queue only merges when they pass on the combined changes. It makes Dagger usable as a merge gate, not only as a per-pull-request check.
- 23d ago
Test-native CI
Extends the earlier test-aware work to its practical end: the failing test is named and rerun on its own. This is where Dagger's view into the pipeline turns into saved CI time.
- 23d ago
Dagger for GitLab
Dagger extends its hosted checks to GitLab merge requests, running them without a GitLab CI job or runner. It widens Dagger's reach beyond GitHub and positions it as a CI layer that sits beside the host's own pipelines rather than inside them.
- 23d ago
Dagger for Entire
Dagger adds native support for Entire, a Git forge built for agent and human contributors, so the same checks run before and after push against a shared cache. It extends Dagger's pitch as the portable CI layer for agent-driven development into a new forge.
- 1mo ago
Cloud Engines
Dagger starts running the engine itself, with scale-out, distributed cache and observability on pay-for-use billing. It is the commercial form of the caching work around it.
- 2mo ago
Remote filesystems over SSH
A Volume can now mount a remote path over SSH as a live two-way view, with no copy into the cache. It widens what a pipeline can reach without moving data.