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The agent stack, floor by floor.

Every AI agent runs on the same layers: model, provider, transport, runtime, platform, and surface. Walk them as one building, drawn live from the Atlas graph.

11 layersOne graph

Every room is a live record in the a5c Atlas graph, not a screenshot.

ModelFamilyModelProviderProductMCPTransportAgentCoreImplAgentRuntimeImplAgentPlatformImpl
Products8 RecordsUI impls8 RecordsCapabilities8 RecordsPlugins8 RecordsFLOOR · GBASE LAYERSFLOOR · IRUNTIMEFLOOR · IISURFACES
3Floors12Rooms81Records45Service lines
esc · step back  ·  scroll · zoom

Interactive: click a floor to step in, a room to enter, a desk to focus one record; scroll to zoom, Esc steps back. Records link into the live graph.

01The layers

One stack, three floors.

Every agent, ours or anyone’s, is assembled from the same layers. The tower is a projection of that stack from Atlas, our public knowledge graph of the AI-agent ecosystem. It is the map our harnesses are calibrated against.

Base layers
Model, provider, transport, and agent core: the artifact, the endpoint that serves it, how calls move, and the loop that turns a prompt into steps.
Runtime
Runtime, platform, workspace, and sandbox: where the loop runs, what orchestrates it, the tree it works in, and the invariants that bound it.
Surfaces
Products, UI, capabilities, and plugins: the user-facing agents built on the stack, and the extension points that add skills to a harness.

We calibrate a harness to your domain across this whole stack, then operate it with your team.

The tower shows the terrain; the solution is a harness tuned to your corner of it and run until it holds.