Neuron AI is a controlled, autonomous multi-troop AI for commodity Linux hardware — no GPU, no cloud. A commander deploys the right specialist model for each mission across 259 knowledge domains, grounds answers in your own knowledge, remembers across sessions, and improves with every task — all under governance you control.
Built end-to-end on a Sacred Layer of identity and rules above a working runtime.
A CEO-style commander auto-selects and deploys the best-fit specialist “troop” — each its own local model — for the mission. A second, always-warm reasoner gives an independent opinion.
A neural memory and knowledge graph — remember, recall, link and explore — plus cross-session memory and decision logs. Context that compounds, entirely on-device.
A lessons-and-feedback loop captures what worked and feeds it back; per-troop after-action reviews make the next run better than the last.
TurboQuant compression runs capable models inside a laptop’s memory — benchmarked, estimated and validated — so commodity hardware punches above its weight.
Red-team challenges attack it on a schedule, while claim- and grounding-guards, approval gates, an audit trail and policies sit under a Sacred Layer of fixed identity and golden rules — it hardens itself before an adversary can, autonomy with a leash.
Git, Postgres, SQLite, the filesystem, the shell, Kubernetes and HTTP — Neuron AI does real dev and ops work, not just conversation. It profiles the hardware and picks the right model for the job.
Retrieval-augmented generation over an offline corpus, with each persona paired to its own scoped knowledge — specialists that actually know their field, anchored to your documents.
A daily brief and an operator cockpit; project goals, progress and next actions are tracked so the system stays accountable to the mission.
Forty-eight specialist clusters span 259 knowledge domains — from cybersecurity and law to medicine, finance and the humanities. Each troop is trained and graded on the domains it owns, and the system tracks its own confidence, domain by domain.
Beyond learning: a metacognition layer that watches its own blind spots, a self-healing loop that detects and repairs drift, and LoRA and “DNA” pipelines that let troops evolve new skills — a system that grows itself, under your governance.
A belief layer over its stored facts notices when two of them contradict and resolves them by confidence — the higher-weight claim wins, the loser is superseded, never silently dropped. It reasons over what it believes, not only what it stored.
On CPU-only hardware, a “fast” query took ~90 seconds. The obvious suspect is token generation — and it’s the wrong place to look.