Your hardware. Your models. Zero tokens billed.

Private by physics

Prompts and outputs stay on the hardware that runs the model. There is no remote inference path, so there is no second copy.

No token markup

You bought the silicon once. Inference is compute you already own, with zero per-token meter running in the background.

OpenAI-compatible

LocalAI speaks the OpenAI API, so Big-AGI points at it the way it points at any endpoint. No custom glue, no waiting on support.

Beam across both

Beam runs your local model against Claude, GPT, or Gemini in parallel, then merges the answers. Consensus is signal, disagreement is where you dig deeper.