Local, encrypted, deterministic job memory — for professionals and the agents you build
Graphnosis is your Local Intelligence — a novel indexing methodology, modeled on the hippocampus, that connects your memories the way your cortex never quite manages to.
That’s why you want to meet Ghampus — your memory seahorse, shaped like a hippocampus, who remembers and indexes everything for you with precision, privacy, security and, most importantly, deterministically.
Stage 1 · raw input
Cortex of files
Your notes, docs, chats, PDFs — the lifetime of material your mind never fully organises.
Stage 2 · binding
Hippocampus indexer
The local pipeline that binds fragments into engrams — deterministic, encrypted, no AI API touched.
Stage 3 · storage
Engram graph
Memories wired by synapses — live, evolving, growing every time you save a new source.
Stage 4 · recall
Prefrontal cortex
Any local or cloud AI you connect queries the graph — same answer, every model, autonomously retrained as memory grows.
hippocampus + engrams = Graphnosis ·
stays local · encrypted at rest · creates synapses between your memories ·
autonomous retraining as needed · live and evolving with every new source —
from your local files or the cloud tools you already use today.
It sits alongside your note-taking and document tools, indexes them once, and serves the same deterministic recall to local Ollama or any cloud AI you connect — no re-ingest at the start of every session, no context window blown on the same files, no second-guessing whether the AI sees what you saw last time. Same query, same answer, every model. Works inside regulated local networks where cloud RAG cannot go.
The indexing pipeline runs entirely on your local device.
No AI API is called during the deterministic ingestion of knowledge.
The cost to build your encrypted professional memory: $0.
