The technology stack — AI & Agentic Systems

Enterprise-hardened runtimefor AI agents.

OpenFabric is the cloud-native infrastructure for deploying and operating AI agents at scale — with the lifecycle management, governance and observability an enterprise actually requires.

The three pillars

01

Lifecycle management

Managed agent registration, deployment and scaling on Kubernetes. Agents ship like services — versioned, rolled out gradually, and rolled back instantly when they misbehave.

02

Governance

Guardrails prevent data leakage between agents, tools and tenants, while Istio and mTLS enforce zero-trust, encrypted communication across the mesh.

03

Observability

Cognitive tracing follows every reasoning loop — prompts, tool calls, decisions and outcomes — so operators can audit, debug and improve agents in production.

K8s

Cloud-native core

mTLS

Zero-trust mesh

100%

Reasoning loops traced

Any

Model or framework

Enterprise features

Everything between the agent and production

Agent registry

Every agent is registered, versioned and described — a catalog of what runs, where, and why.

Kubernetes-native

Agents deploy as first-class cloud workloads with health checks, autoscaling and rollout control.

Guardrails

Policy enforcement between agents and data — data-leakage prevention applied at the runtime, not in the prompt.

Zero-trust communication

Istio service mesh with mTLS secures every agent-to-agent and agent-to-tool conversation.

Cognitive tracing

Reasoning loops are traced end to end — inspect what an agent thought, called and concluded.

Managed lifecycle

Registration, scaling, upgrade and retirement handled by the platform across every environment.


Run your agents like production software

OpenFabric also powers OpenMethod, our agentic SDLC platform — the same runtime, proven on our own ventures.