Versions:

  • 19.3.2
  • 19.3.1
  • 19.3.0
  • 19.2.4
  • 19.2.3
  • 19.2.2
  • 19.2.1
  • 19.2.0
  • 19.1.3
  • 19.1.2
  • 19.1.1
  • 19.1.0
  • 19.0.3
  • 19.0.2
  • 19.0.1
  • 19.0.0
  • 18.11.4
  • 18.11.3
  • 18.11.2
  • 18.11.1
  • 18.11.0
  • 18.10.1
  • 18.10.0
  • 18.9.0
  • 18.8.0
  • 18.7.2
  • 18.7.1
  • 18.7.0
  • 18.6.6
  • 18.6.5
  • 18.6.4
  • 18.6.3
  • 18.6.2
  • 18.6.1
  • 18.6.0
  • 18.5.0
  • 18.4.0
  • 18.3.1
  • 18.3.0
  • 18.2.2
  • 18.2.1
  • 18.2.0
  • 18.1.3
  • 18.1.2
  • 18.1.1
  • 18.1.0
  • 18.0.5
  • 18.0.4
  • 18.0.3
  • 18.0.2
  • 18.0.1
  • 18.0.0
  • 17.11.4
  • 17.11.3
  • 17.11.2
  • 17.11.1
  • 17.10.2
  • 17.9.0
  • 17.5.0
  • 17.4.1
  • 17.4.0
  • 17.3.1
  • 17.2.1
  • 17.2.0
  • 17.1.0
  • 17.0.0
  • 16.11.1
  • 16.11.0
  • 16.10.0
  • 16.9.0
  • 16.8.0
  • 16.7.0
  • 16.6.1
  • 16.6.0
  • 16.5.0
  • 16.4.1
  • 16.4.0
  • 16.3.1
  • 16.3.0
  • 16.2.0
  • 16.1.0
  • 16.0.1
  • 16.0.0
  • 15.11.0
  • 15.7.1
  • 15.2.1
  • 13.2.0

GitLab Runner 18.9.0, the sixty-fourth public iteration released by GitLab Inc., is an open-source agent designed to execute continuous-integration and continuous-delivery pipelines that have been defined in a GitLab project. Written in Go and distributed under the MIT license, the lightweight daemon can be installed on Windows, macOS, Linux distributions, container hosts, or Kubernetes clusters, turning any compute resource into a job executor that polls GitLab for build instructions. Once registered with a GitLab instance, the Runner pulls jobs, spins up the requested executor—whether Docker, Podman, VirtualBox, shell, SSH, or custom—and streams logs and artifacts back to the server, enabling teams to compile code, run unit tests, perform static analysis, build container images, execute deployment scripts, and collect coverage reports without manual intervention. Typical use cases include validating merge requests on feature branches, orchestrating multi-stage release pipelines that promote builds from development to staging to production, scaling capacity horizontally by adding ephemeral cloud nodes, and enforcing security policies through isolated containers. Because the same Runner binary can be configured with tags and limits, administrators can create specialized pools for GPU workloads, Windows executables, or high-security environments, while developers benefit from consistent, reproducible feedback loops. The software is available for free on wget.nero.com, with downloads provided via trusted Windows package sources (e.g. winget), always delivering the latest version, and supporting batch installation of multiple applications.

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