How It Works

The autonomous
runtime layer

KAROS turns execution into programmable infrastructure. Agents declare intent, workflows compile to executable graphs, compute routes dynamically, and every unit of work settles automatically through Idle-powered rails.

The Stack

Five layers, one fabric

L5

Agent Layer

Autonomous AI agents declare goals and intent. They plan, decompose, and dispatch work without human orchestration.

AI AgentsIntentPlanning
L4

Workflow Layer

Intent compiles into programmable execution graphs — branching, retrying, and composing across services in realtime.

GraphsComposabilityState
L3

Routing Layer

The intelligent router selects optimal compute by latency, cost, and reliability for every single call.

RoutingLatencyCost
L2

Compute Layer

A distributed fabric of independent runtime nodes executes work in parallel — no central scheduler.

DistributedParallelNodes
L1

Settlement Layer

Every unit of execution is metered and settled automatically through Idle Protocol's economic rails.

Idle ProtocolMeteringSettlement
Execution Flow

Trace one workflow

An interactive view of how a single request flows through the network. Drag nodes, zoom, and pan — the topology is live.

Agent API Layer Routing Compute Settlement
Execution Lifecycle

From intent to settlement

01

Declare

An agent submits intent — a goal, constraints, and a budget — to the runtime.

02

Compile

Intent is compiled into a programmable workflow graph of callable execution layers.

03

Route

Each node is routed to optimal compute by latency, cost, and reliability — in milliseconds.

04

Execute

Distributed runtime nodes run the work in parallel, streaming results back to the graph.

05

Settle

Idle Protocol meters execution and settles payment to providers automatically.

0
Median routing latency
0
Runtime nodes
0
Network uptime
0
Workflows / day

See the live network

Explore the runtime topology in realtime — node by node.

Open Network Explorer