Intelligence
Run it on your own machine, private
The most private assistant is one that never phones home. Through LM Studio, Nolocron can run models on-device, so search and chat can work without any data leaving your machine.
Preview
Settings · Local Models
Local utility modelBetaRun small background AI tasks on-device: classification, labels, short summaries, routing, and extraction.
runs locally, no API key, no network egress
01
Why it matters
Cloud AI means your most personal context leaves your control on every request. Custody should extend to inference, not stop at storage.
02
What Nolocron provides
- Run a local model through LM Studio as the assistant engine — no API key, no network round-trip.
- On-device embeddings (GGUF) make your archive semantically searchable, privately.
- A local model acts through the same governed action layer as any other.
- Model choice and paths are settings you control; changes take effect on the next run.
03
How it works
- Point Nolocron at a local model through LM Studio.
- Embed your archive on-device for private semantic search.
- Chat with a local model through the same governed surface.
- Keep both your data and your inference on your machine.
04
Proof
- No keys, no network round-trip — inference stays local.
- The same governance and receipts as cloud models.
- Available today via LM Studio; a fully-capable private worker is on the roadmap, as hardware allows.
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