kitops

Why we included this project

KitOps packages models, datasets, code, and configuration into a single OCI artifact you can push to your existing container registry. That means versioning, security scanning, and access control for AI assets work the same way they already do for container images, which matters in regulated or self-hosted environments. Each artifact is layered and versioned rather than a loose tarball, so training runs stay reproducible and deployments are easier to audit. The CLI is part of the CNCF ecosystem and supports the vendor-neutral ModelPack spec, so it fits into Kubernetes and CI/CD tooling without inventing a new format. If you want model packaging to feel like standard infrastructure instead of a custom pipeline, this is a practical option.