Kubernetes Agentic AI Fabric.
K · A · I · F — the blueprint for production agentic AI on Kubernetes
Three lifecycles — Development, Deployment, and Evaluation — unified by an AI Harness, running on a cloud-native Kubernetes substrate. Every capability maps to a CNCF or Kubernetes-native project — no parallel stack.
One picture. Top to bottom.
Stakeholders consume agents. The Harness governs them. Three lifecycles produce them. Kubernetes runs everything.
Author agents, prompts, tools, datasets. Inner dev loop into the cluster.
Package, roll out, scale, route, and safely operate agents in production.
Continuous quality, safety, cost, latency and drift evaluation — offline and online.
What the picture says
Three lifecycles, one substrate
Dev, Deploy, and Eval are first-class citizens — each with its own CNCF tooling, all on Kubernetes.
The Harness is the seam
Prompts, tools, memory, policy and evals live in one control plane so agents stay consistent across teams.
Cloud-native by default
Every component has a Kubernetes-native equivalent — no proprietary lock-in, no parallel ops stack.