Persistent memory for LLMs

Your AI's memory, assembled — not dumped.

Gliora stores what you know as typed, confidence-scored knowledge atoms, then packs only the relevant ones into your token budget. Same answer quality. A fraction of the context.

Connects to Claude Code, Cursor, and any MCP client.

of the tokens

Assembly returns about 5% of what a naive “load everything relevant” pass would send.

median across 1,204 assemblies · 30-day window

The shift

Retrieval finds documents. Assembly builds context.

Before

Every session starts from zero, so you paste the same background again — then pay for whole documents to answer one question.

After

Gliora keeps knowledge as small linked atoms and selects against a budget — highest-confidence, most-connected facts first.

Result

The context window stops being the bottleneck. Nothing relevant is dropped; everything irrelevant is.

Same question · same knowledge

Naive load — every relevant doc 128,400

Gliora — assembled to budget 6,180

One of these fits in your context window. Both contain the answer.

What you get

Three views onto everything your AI knows.

Knowledge is captured as you work. These are the surfaces you actually use.

Knowledge Graph

See how your knowledge connects — clusters, contradictions, and the edges the engine walks when it assembles context.

KB Health & ROI

Token savings, confidence mix, and exactly what needs attention — stale atoms, weak links, gaps worth filling.

Atoms

Browse and search everything you know. Every atom is typed, sourced, scored, and editable — or deletable, permanently.

Trust & control

Your knowledge base is yours.

No training on your data. No lock-in. Four commitments, stated plainly.

Encrypted at rest

Atoms and embeddings are encrypted on disk and in transit.

Per-tenant isolation

Your knowledge base is separated at the storage layer, not by a query filter.

Exportable, always

Full export on demand, in a documented format. Leave whenever you want.

Only your data

The engine returns knowledge from your base — never another tenant's, never invented.

Invite-only beta

Stop re-explaining your work to your AI.

Beta access is invite-only while we tune assembly quality.