Kitops

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KitOps is an open-source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into OCI Artifacts. It integrates with existing CI/CD and MLOps tools for secure sharing and deployment.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is kitops?

KitOps is an open-source DevOps tool, governed by the CNCF, designed for packaging, versioning, and securely sharing AI/ML projects. It leverages OCI (Open Container Initiative) technology to bundle models, datasets, code, and configurations into versioned and layered artifacts, stored in existing container registries. This approach ensures immutability, tamper-proofing with SHA-256 digests, and cryptographic signing via Cosign, making it ideal for security-conscious enterprises and regulated industries. KitOps integrates seamlessly with AI/ML, CI/CD, and DevOps tools, supporting full lifecycle versioning from development to production. It also provides artifact and project metadata for establishing chain-of-custody and provenance, aligning with compliance frameworks like the EU AI Act and NIST AI RMF.

Best used for

Ideal for developers and data scientists who need to standardize packaging, versioning, and secure sharing of AI/ML models and data. Especially valuable for teams in regulated industries requiring robust security, compliance, and audit trails for their AI assets within existing CI/CD pipelines.

Common actions

package AI models

version ML projects

secure AI assets

deploy AI models

manage AI lifecycle

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Capabilities

Key features

OCI artifact packaging
ModelKit/ModelPack creation
Cryptographic signing (Cosign)
AI Bill of Materials
Version control for AI/ML
Integrates with CI/CD
Python SDK (PyKitOps)

Target Audience

developerdata scientistproduct manager

Integrations

mlflowgithub-actionsdaggerkuberneteskservekubeflow-pipelines

Pricing & Plans

Open Source

Free

FAQs

What is the core technology behind KitOps for packaging?

KitOps builds on Open Container Initiative (OCI) technology, the same standard used for containers. This allows it to package AI/ML models, datasets, code, and configurations into versioned and layered OCI Artifacts, leveraging existing container registries for storage and distribution.

How does KitOps ensure the security and integrity of AI/ML models?

KitOps provides immutable digests for every component, cryptographic signatures with Cosign for verification, and generates an AI Bill of Materials (SBOM). These features ensure tamper-proofing, provenance, and audit-ready lineage, crucial for compliance and security-conscious environments.

Can KitOps integrate with my existing MLOps and CI/CD workflows?

Yes, KitOps is designed for seamless integration. It works with tools like MLFlow, GitHub Actions, Dagger, Kubernetes, KServe, and Kubeflow Pipelines. This allows teams to incorporate ModelKits into their current development, deployment, and management processes.

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