Directory DevOps & Platform EngineeringInfrastructure as CodeKitOps

KitOps

Open Source

About KitOps

KitOps provides a packaging format that bundles AI stack components into signed, versioned OCI artifacts. It packages models, agents, MCP servers, datasets, and configuration under one workflow. ModelKits can be stored in registries such as Docker Hub, ECR, GCR, Harbor, Artifactory, or Jozu Hub. Components in a ModelKit are SHA-256 hashed and can be signed with Cosign.

Used for

Packaging a model, MCP server config, and agent skills into a signed ModelKit.
Generating an AI Bill of Materials covering models, agent skills, and MCP tool dependencies.
Checking whether something changed between ModelKit versions using SHA digests.

Who it is for

Used by data science teams, application teams, and deployment teams during model handoffs.
Used by data scientists, application developers, and DevOps engineers.

From KitOps's own website, read 2026-10-23. How we build listings.

How to evaluate Infrastructure as Code

This is how the CIOPages Research Team evaluates this category. It is not an assessment of KitOps. It comes from our Infrastructure as Code (IaC) Platforms buyer guide.

25%

Language & Authoring Model

Declarative DSL (HCL) vs. general-purpose language (TypeScript, Python, Go, C#); readability for reviewers vs. expressive power (loops, conditionals, abstractions); module/component reuse and registry maturity; testing and IDE support; learning curve for the people who will actually write infrastructure

20%

State Management & Drift

Where state is stored, remote-state locking to prevent concurrent-apply corruption, state encryption and secret handling, plan/preview fidelity, drift detection and continuous reconciliation, import of existing resources, and blast-radius controls on apply

20%

Policy-as-Code & Governance

OPA/Rego and Sentinel support, pre-apply guardrails (block non-compliant resources, mandatory tags, region/cost limits), RBAC and SSO/SAML/SCIM, audit logging, approval workflows, and integration with cost-estimation and security scanning in the pipeline

15%

Provider Ecosystem & Portability

Breadth and quality of providers/resource coverage, day-one support for new cloud services, multi-cloud and on-prem reach, third-party SaaS providers, and how locked-in the resulting code is to one vendor or one cloud

10%

Collaboration & Workflow (TACOS)

Run orchestration and queuing, VCS/PR-driven plans, stack dependencies, self-service environments with TTL/ephemeral teardown, drift remediation workflows, and whether you self-host in CI (Atlantis-style) or buy a managed platform

10%

Licensing & Project Health

License (open-source MPL/Apache vs. source-available BUSL vs. proprietary), governance and ownership after recent M&A, release cadence and roadmap, community/foundation backing (CNCF, Linux Foundation), and how easily you could exit or fork

Other Infrastructure as Code Vendors

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