Everyday glasses that quietly build a private memory of your days — surfacing the name, the place, the promise the instant you look. The raw camera and audio never leave the lens. No cloud. No retraining. Only recall.
Today's smart glasses send what you see to someone else's computer. Mneme keeps it inside the frame — and gives the keys to you.
Persistent, personal memory has been impossible to put in eyewear without breaking one of three constraints: latency, battery, or privacy. Cloud round-trips are slow and leak your life. On-device generative models drain the battery and overheat. Neither lets you actually see — or delete — what's been learned about you.
Priver Mneme takes a different path. Memory is stored as a structured event graph inside the frame, recalled by a purpose-built co-processor in milliseconds, and shielded by a privacy boundary built into the silicon itself.
Priver Mneme doesn't record video. It distills what matters into typed event nodes — people, places, actions, moments — connected by associative links. Each link carries a confidence value and a weight that grows when patterns repeat and quietly decays when they don't.
Entities, actions, states, moments and the reasons between them are stored as a typed event graph — each link weighted by confidence, recurrence and source reliability. Compact, structured, and built to be read by a human.
Repeated patterns strengthen. Contradicted or unused ones decay toward a floor. Good outcomes reinforce the path that led to them — all on-device, with no neural network ever retrained on your data.
A dedicated traversal co-processor follows the strongest links from what you're looking at to recall the relevant memory in under 100ms — and pre-loads what it predicts comes next, before the moment fully arrives.
Privacy here isn't a setting or a promise in a policy. It's a wall etched into the silicon. A sensor-side chip turns what the camera sees into a normalized event structure, wipes the frame buffer, and the raw image crosses a one-way bus that has no return path.
The raw sensor bus only flows one way. There is no electrical path back to the application processor or the radio.
Once an event is extracted, the dedicated ASIC clears the buffer holding the raw image. The original frame ceases to exist.
Between your devices, Priver Mneme syncs changes to link weights and confidence — never raw sensor data, never original input.
Everything that makes Priver Mneme work lives in the temples and bridge — separated by design, so that inference, safety, and your raw senses never share the same memory.
Sits beside the camera. Turns raw senses into events and enforces the privacy boundary.
Sparse-graph fetch, link-weight math and an on-die node cache. Recall, not generation.
An independent SoC on its own clock and power rail. Verifies before anything is shown.
Renders crisp detail where you look, dimmer at the edges — anchored to your gaze.
A recall is only a candidate. Before any overlay, alert or haptic reaches you, an independent watchdog — with its own clock domain and power rail — checks it against what the sensors see right now. If memory and reality disagree, it doesn't render.
Because memory is a structured graph instead of buried model weights, you can open it, change one fact, or delete it for good — and have that deletion follow you across every device.
Touch the temple, dwell with your eyes, or gesture in view to correct a node or link — instantly, without retraining a thing.
Export a portable knowledge package and open your memory as a graph, timeline, heatmap or map. Branch edits, preview the effect, then commit.
Erasure writes a tombstone so the fact can't return, and sends correction signals that unwind its influence everywhere it spread.
Your devices share a single memory through a portable vault. Updates from peers are weighted by trust; access can be granted and revoked, one system at a time.
On your face, in your hands, and nowhere else. Reserve a pair and be among the first to wear a memory that stays yours.