SovAI OS
An operating layer for private enterprise AI.
SovAI OS is not a replacement for Linux, Windows, macOS, or Kubernetes. It is an application and platform layer for enterprise AI agents, tools, memory, model routing, policies, observability, and evaluation.
Core Concepts
The control plane above AI workflows
The OS idea is about coordination and governance: how agents use tools, how models are selected, and how decisions become auditable.
Agent runtime
Run task-oriented AI workflows with explicit tools and execution boundaries.
Tool registry
Organize approved APIs, functions, retrieval tools, and workflow actions.
Model router
Route requests across cloud and local models based on policy, cost, and sensitivity.
Memory layer
Manage contextual memory, retrieval state, and workflow-specific knowledge.
Policy engine
Apply prompt, response, data, and user-specific policy controls.
Audit layer
Track prompts, tool calls, retrieved evidence, outcomes, and validation results.
Deployment layer
Package services for Docker, Kubernetes, OpenShift, and cloud environments.
Evaluation layer
Measure quality, grounding, safety, latency, and cost across workflows.