Mnemosyne

Introduction

What Mnemosyne is, and what actually runs today

Mnemosyne is a company brain you run on your own infrastructure. It curates your documents once into an anchored, verified knowledge graph; answers only with grounded citations checked outside the model; enforces need-to-know at key-wrap time; and keeps a tamper-evident record of everything. These pages explain how — and, next to every capability, say plainly whether it is shipped, in progress, planned, or still research.

Your documentsraw, un-curatedCurate onceinto a linked graphSealsigned, hash-chainedRetrievekey-wrap decides● anchoredthe gateoutside the model✓ Cited answergrounded + cleared✕ Blockedno anchor, or not cleared
Curate once; prove every answer. The two guarantees live in the substrate, not the model: a claim with no anchor is blocked, and a source you cannot unwrap never reaches the model at all. This illustrates the mechanism — it is not a live view of a running system.

How to read these docs

Every capability below carries an honest status. We would rather show you the boundary of what is built than imply more than runs — for a buyer paid to be skeptical, that is the point.

  • Shippedrunning in the product today — we can show you it working
  • In progressbuilt and working, with the honest boundary of what is not finished
  • Planneddesigned in detail, not built yet
  • Researchexploratory: the hardest open problems, named rather than hidden

Integrity & audit

An adjudicator that must clear every claim before it is kept

Planned

A separate always-on process checks each claim against its evidence with a bank of independent oracles, and nothing is committed until it does.

The judge writes proofs, never knowledge

Planned

The adjudicator records its verdicts and their proofs to an audit chain, and is structurally incapable of writing to the knowledge graph.

Provenance chains — a spine, five sidechains, externally anchored

Planned

Every knowledge event is written to an append-only signed record, and the record's root is published outside the machine — so tampering is detectable by someone who does not trust you.

What she infers is quarantined from what the company records

Planned

Conversations tell her where to look. Documents tell her what is true. There is exactly one gate between the two, and it re-derives the claim from documents alone.

Security & access

Compartmented access control — a lattice, not a filter

Research

Clearance evaluated per fact at the moment keys are wrapped, so access is enforced by cryptography rather than by filtering results after the fact. Designed in Mk1; deliberately not yet specified for Mk2.

An independent watcher that co-signs

Research

A separate process watching the system, able to verify what it is asked to co-sign without ever holding the right to read the contents.

Cognition

Multi-granular recall — a door at every rung

Planned

Retrieval enters at the level the question needs. A pinned fact is reached by following structure, not by hoping it ranks highly.

Usage is evidence, never a ranking

Planned

How often a fact is read never makes it rank higher. A rarely-opened document that answers your question outranks a popular one that does not.

Each store doing the job it is best at

Planned

Graph, vector and columnar stores each hold the part of the ladder they are genuinely best at, rather than one database doing everything badly.

Judge-bounded reasoning with emergent depth

Planned

She keeps reasoning while an objection stands, and stops when the adjudicator has run out of them. How long she thinks is learned, not a number someone configured.

A truthful I-don't-know is a first-class answer

Planned

When the corpus cannot answer, she says so — and the gap is recorded as a question the company has asked, weighted by how often it is asked.

An answer declares what it could not read

Planned

Readiness is per document, so she answers while material is still being ingested — and every answer says what was still unread when she gave it.

Prose in, trackable deliverables out

Planned

A request in ordinary language becomes a small set of tracked deliverables — equipped, ordered, assigned, and admitted as the contract for that turn.

Learning

A learner that holds no facts in its weights

Planned

One learner discovers how this company's knowledge is shaped and how to move through it. It may make her faster and sharper. It may never make her correct.

She improves while nobody is asking

Planned

Between questions she reconciles her memory, fills gaps she has noticed, and refines her own policies. The loops that run during a query are deterministic; only the idle ones learn.

Ingestion

Atom extraction — the only thing the model authors

Planned

The language model is allowed to propose one thing: single indivisible facts, each anchored to the exact span it came from. It never authors the structure above them.

Deterministic knowledge ladder (atom → molecule → concept → wiki)

Planned

Everything above a single fact is assembled by deterministic workers, so the same documents always produce the same knowledge — and any rung can be recomputed and checked.

Non-orphan guarantee — no fact can be stranded

Planned

Every link between a fact and the structure built from it points both ways and is tested, so the system cannot hold evidence it can no longer find.

Per-subject grounded synthesis

Planned

A readable page per subject in which every sentence traces to a checked source — assembled from the record, never composed freely by a model.

Two domains — what documents prove, and what conversation suggests

Planned

Verified company documents are answered from. Meeting notes, chat threads and transcripts are reasoned over but never answered from — a governance dial the company sets, not a hidden implementation detail.

Platform & deployment

One door for every capability

Planned

Every outside capability — a search, a calculation, a rendered chart, a lookup — is registered, invoked, budgeted and logged in one place. It can refuse a call; it can never choose one.

Skills — procedures with a goal, not just tool calls

Planned

"Author a document with text, diagrams, computed numbers and researched citations" is one skill with a goal — something that can be done well or badly — not five separate tool calls.

A workspace that is scratch, and provably so

Planned

Work happens in a sandbox with a recorded egress trail. Nothing durable depends on it — which is exactly what makes it safe to delete.

On your hardware, or on ours — with the same key column

Planned

Two deployment modes, one binary, one cryptosystem. In both, the customer holds the keys and nobody else can reach plaintext — managed differs in who racks the hardware, not in who can read.

Access decided before the bytes are rendered

Planned

Every access decision is made on the server, before HTML exists. Nothing is filtered in the browser, because filtering in the browser means it was already sent.

A licensed install, re-validated for years afterwards

Planned

One terminal program turns a licensed release into a running system and then gets out of the way. Licence state is re-checked at runtime, with defined grace behaviour — and expiry can never destroy knowledge.

The deep dive explains each mechanism in detail; Install & run covers on-prem and managed; Company & project has the roadmap. Everything renders from one source of truth, so what you read stays true as the product grows.