AI agents need to run everywhere — privately on the AI PC, and at frontier scale in the cloud. ByteFuture builds the stack that spans both: Olares OS for on-device inference, and Token Station for cloud routing across every model.
One agent. Local when it can, cloud when it must — decided per call.
Agents that only call the cloud leak data and stall offline. Agents that only run locally hit a capability ceiling. Hybrid inference is the answer — and it needs infrastructure on both ends, plus something to route between them.
Run models and agents on the AI PC. Sensitive data never leaves the device, latency is near-zero, and it works offline.
Reach the strongest closed and open models when a task demands it, and scale out without provisioning hardware.
A single gateway decides local-vs-cloud on every request — by cost, latency, privacy, or capability — without changing your code.
An open-source operating system for AI PCs. Run models, agents, and your own sovereign AI cloud locally — you own the data and the compute. Olares turns a powerful machine into a private inference endpoint for your agents.
A hybrid inference gateway. One API across every cloud and local model — OpenAI- and Anthropic-style — with smart routing that sends each call to the right place: cheapest, fastest, or most private. Drop-in for the SDKs and agent frameworks you already use.
On the AI PC, with local models and data close at hand.
One API decides where every inference request should go.
Private work stays local; frontier work goes to the cloud. Automatically.