Your models. Your hardware.
One console.
Run the Layman Agent on any machine to serve an OpenAI-compatible API from local models — then manage the entire fleet, hot-swap engines, and broker cloud fallback from Strata Console.
Detecting your platform…
/v1/chat/completionsTwo pieces, one system
Install the agent where your models live. Manage everything from the console.
Download the agent
Grab the Layman Agent for your OS and run it on the machine with your GPU or CPU inference stack.
Enroll into the console
The agent dials out to Strata Console and enrolls with a per-agent certificate. No inbound ports to open.
Manage the fleet
Set the engine, model, and guardrails from the console. Route traffic and fall back to the cloud on demand.
A lightweight runtime for local models
A single Go binary that exposes an OpenAI-compatible inference API and a control API the console drives. Swap the model or the entire engine on demand — but only when no request is in flight.
- OpenAI-compatible
/v1/chat/completions,/v1/models,/health - Engine adapters: Ollama, llama.cpp (GGUF), MLX
- Idle-safe swap coordinator with optional drain
- Local status UI with live download & lifecycle events
- Outbound-only connection to the control plane
The control plane for your fleet
A multi-tenant management plane for fleets of Layman Agents. Enroll agents with workload identity, push configuration, route requests, broker cloud fallback, and meter usage — all from one place.
- Per-agent mTLS enrollment (SPIFFE-style X.509 identity)
- Catalog & groups, scoped enrollment tokens, revocation
- Central config: engine, model, params, system & guardrail prompts
- Cloud fallback brokering to Anthropic / OpenAI
- Usage metering across the whole fleet
Get the Layman Agent
Pick your platform. Version —.
Installing on a fleet? After download, run the agent with
-control-mode remote and enroll it from
Strata Console.
Ship local inference, managed centrally.
Download the agent, spin up the console, and bring your fleet online.