Agent layer
Safe identities, capability registries, deterministic assignment, and planned handoffs.
Governed multi-agent infrastructure
A governed operating layer for multi-agent execution
Agents, approvals, audit, routing, and safe execution boundaries for semi-autonomous AI workflows.
Private build in progressCONTROL PLANE / 01
Agent registryCapability map
AssignmentApproval gate
Run workerSafe results
01 / WHAT IT IS
A control plane for agents that need boundaries—not just instructions.
AI Agent OS separates planning, policy, execution, and reporting into small deterministic layers. The result is a foundation for agent workflows that can move quickly without dissolving governance.
02 / CORE ARCHITECTURE
Composable by design
Approval layer
Policy-based gates and explicit request lifecycles before sensitive transitions proceed.
Execution layer
Provider-agnostic execution behind narrow interfaces, safe queues, and normalized results.
Evidence layer
Append-only audit trails, lineage, health signals, and allowlisted public summaries.
03 / SAFETY BOUNDARIES
The boundary is the product.
- 01Explicit activation
External providers stay disabled by default.
- 02Safe summaries
Prompts, credentials, raw outputs, and provider internals stay out.
- 03Injected dependencies
Stores, clocks, executors, and clients remain replaceable and testable.
- 04Narrow execution
The core engine receives only a task and a model adapter.
04 / CURRENT STATUS
Private build
The foundation is taking shape.
AI Agent OS is under active private development. The current build focuses on deterministic governance primitives before public interfaces and production workflows.
Private build in progress