An AI that doesn’t freeze
the day it’s trained.
It learns as you work. Forgets what you don’t need. Consolidates while you sleep. All on your laptop.
0.0
measured forgetting — 75.4%
on the public benchmark
96.9%
two-step reasoning from memory —
+14.9 points over RAG
0.74s
to write a new fact locally —
consolidation happens overnight
4×
longer text: loss 4.00 vs 6.27 —
Transformers degrade, NEXUS doesn’t
The Architecture of Thought
Static intelligence isn’t intelligence.
It’s a photograph.
Yesterday’s Frontier Models
Trained once in a data center. Frozen at launch. You re-explain yourself every day, and when context fills, it forgets who you are.
The Nexus Way
Trained to keep learning. Nexus rewires itself on your laptop—no retraining, no cloud. Use a skill, and it sharpens. Six months in, no two Nexuses are alike.
02 · Synaptic Sleep Consolidation
It learns while you work.
It grows while you sleep.
During the day, Nexus captures raw, organic experiences in fast short-term pathways. At night, when your laptop is idle, it enters a quiet sleep cycle—distilling the day’s lessons into structured, permanent model architecture.
Daytime Capture → Nighttime Consolidation
03 · Independence from the Cloud
Frontier capabilities.
Zero data centers required.
The human brain runs on 20 watts of power. It doesn’t need a nuclear power plant in another state to finish a sentence. Because Nexus prunes unused parameters and activates only the pathways your task requires, it runs effortlessly on an everyday laptop.
Early Access Pre-Registration
Begin with a mind of your own.
We are releasing Nexus in quiet waves to writers, engineers, researchers, and thinkers who want an intelligence that grows alongside them. Reserve your spot for the first local build.
Reservation Confirmed
Your place in Wave 01 is held.
We’ve prepared your local seed profile. When Nexus 1.0 ships for macOS, your invitation will arrive at .
Common Questions
Asked quietly, answered plainly.
Is Nexus an AGI?
Nexus is not an AGI, and we don’t pretend otherwise. It is a working step in that direction: an AI that keeps learning after deployment instead of freezing at launch — the ability to absorb, forget, and consolidate is what a general intelligence needs before anything else. We publish pre-registered benchmarks so the progress can be judged, not just described.
What is a living brain model?
Conventional models are trained once and then stay static — memory lives outside the model as context or retrieval. Nexus is built like a living brain instead: it forms new pathways when you teach it something, decays what you never use, and folds the day’s lessons into permanent weights while it sleeps. The learning happens inside the model, on your machine.
What makes Nexus a self-evolving AI?
Three loops run continuously after deployment: live absorption (a correction becomes a new pathway in 0.74s), selective forgetting (one-off noise decays, repeated skills densify), and sleep consolidation (overnight passes fold traces into permanent weights). No retraining runs, no cloud calls — the model you use next month is measurably not the one you installed.
How is Nexus different from fine-tuning or RAG?
Fine-tuning freezes after each run and collapses previous skills — our measurements show −71.8% retention — while RAG never learns at all; it re-reads documents at every query. Nexus writes into its own weights locally, holds 0.0 measured forgetting on public benchmarks, and costs nothing per query.