Infrastructure for the agentic era.
Today, every flagship model behind one endpoint, ready for any agent. Next, run and deploy your agents on the same platform. One key. One platform.
- 01Every model · one key
- 02Zero-downtime serving
- 03Any agent · drop-in
One platform. Three layers.
Agents need more than a model API. They need somewhere to run, and something to run on. We're building all three layers — bottom up.
Inferencelive
Every model, one endpoint, one key. The layer everything else stands on.
Agent Runtimein development
Run agent harnesses on the platform — long sessions, sandboxes, memory that persists.
Deploymentscoming
Ship agents like pods. Run a fleet of them without owning any of the plumbing.
One engine handles everything underneath.
You point an agent at an endpoint. We do the rest. You never see the machinery — you see what it guarantees.
- 01
Always on
Failures never reach your loop. A model that stumbles is replaced mid-request, before your agent notices.
- 02
Fast where agents feel it
First token, long streams, tool-call turnarounds — tuned for the moments that stall a run.
- 03
Cost engineered down
The same work costs less here, and keeps getting cheaper. That's the engine's job, not yours.
- 04
Tool calls that hold
Strict schemas, parallel calls, streams that survive hour-long runs without dropping a frame.
Every model, behind one endpoint.
You hold one key and one endpoint — never another vendor account, quota, or bill. Open-weight flagships sit next to premium frontier models behind the same door, and the catalog keeps growing. One key reaches all of it.
Built for the loop, not the demo.
Chat traffic is easy. Agent traffic is long, tool-heavy, and unforgiving. The serving layer is shaped around that from the start.
Drop-in, both dialects
Speaks the Anthropic and OpenAI APIs. Point your tool at the endpoint — no SDK, no rewrite.
Streams that don't die
Hour-long runs, heavy tool use — the stream holds, or is rescued before your agent ever sees a gap.
Tool calls, strict
Schemas enforced, parallel calls handled, arguments intact on every frame.
Context that holds
A run is one conversation, not a hundred requests. The engine treats it that way.
Point any agent here in one command.
Run npx layerx1 and pick your tools — the installer writes each config where the tool expects it, key and model included; GUI-configured tools get their exact paste-in values. No SDK, no code changes. The session below is the setup.
--tool claude-codeCodex CLI--tool codexAider--tool aiderContinue--tool continueCline--tool clineCursor--tool cursorWindsurf--tool windsurfopencodeopencode.jsonCrushcrush.jsonGoosegoose configureHermes Agent~/.hermes/config.yamlOpenClawopenclaw.jsonQwen Code.qwen/.envOpenHandsSettings → LLMZedsettings.jsonKilo CodeGUI settings--tool = written by the installer · file = 60-second copy-paste guideor generate configs from your dashboard →Shipped, not promised.
“Inference is the first layer, not the last.”
Your agent doesn't change.
Everything underneath does.
Start free · no card · Starter from $5/mo