The execution substrate of Org Systems AI

The Agent Runtime Network that powers every surface

Agent Runtime Network is the governed execution layer beneath AI Hub and AI Control Center — the node registration, capability registry, execution engine, observability, and routing infrastructure that actually runs agents across desktop, browser, cloud, workers, CLI, and SDK.

What Agent Runtime Network is

Agent Runtime Network is the distributed execution substrate underneath Org Systems AI. It registers worker nodes, advertises their capabilities, dispatches and leases work, enforces routing and policy decisions before dispatch, and streams observability data back — so every agent run, on every surface, is governed, traceable, and auditable.

Six runtime surfaces

One network, execution wherever work needs to happen

Desktop

Native macOS and Windows runtime nodes that automate local and legacy software with deterministic audit trails.

Browser

A capability-scoped browser runtime with a token-based access model and a single-lease execution constraint per session.

Cloud

Poll-and-claim dispatch with full lease lifecycle management for elastic, on-demand cloud execution.

Workers

Python and Rust worker processes that execute agent tasks, propagate routing decisions, and report status back to the control plane.

CLI

A command-line interface for operators and developers to inspect, manage, and dispatch work directly against the runtime network.

SDK

TypeScript and Python SDKs for building against the runtime network — routing, observability, and execution APIs included.

Built for platform and runtime teams

The technical foundation that gives Org Systems AI real execution guarantees, not just a chat interface over an API.

Node registration

Every desktop, browser, and cloud node registers with the network and authenticates before it can accept work.

Capability registry

Nodes advertise exactly what they can execute, enabling precise, capability-aware dispatch instead of blind fan-out.

Execution engine

A deterministic execution engine coordinates task lifecycle, leasing, retries, and completion across every runtime surface.

Observability

Every execution streams structured events to a central observability pipeline for real-time monitoring and post-hoc audit.

Routing

A deterministic, deny-first routing pipeline resolves policy before dispatch, choosing the right model and node for every task.

Governed by AI Control Center

Every node, capability, and route is visible and controllable from AI Control Center — no infrastructure operating outside policy.

Migration note

Agent Runtime Network is not a new system built from scratch — it is EntAIOS, repositioned. The node registration, capability registry, execution engine, routing, and observability infrastructure originally built as EntAIOS becomes the backend and foundation of Org Systems AI's Agent Runtime Network. Nothing is discarded: the runtime you already trust now powers a broader platform, with AI Hub and AI Control Center built on top of it.

Evaluate the runtime powering Org Systems AI

Request early access, or dig into the developer docs and SDKs to see the runtime network firsthand.