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Exact search
Scans the cube's entire neighborhood and returns the real neighbor — never an approximation, even under heavy filters.
Vector Database
Persistent memory with crossover between AIs — what one knows, all know. 100% exact-recall semantic search across isolated cubes, for any LLM (Claude, GPT, Gemini, local), with N crossover cubes.
Crossover
A neutral memory layer connects tools, models, and devices. Each project stays isolated in its own cube.
One write · all AIs read · zero leakage between cubes
Architecture
From write to search, every step is designed to return the right result — and nothing but it.
Scans the cube's entire neighborhood and returns the real neighbor — never an approximation, even under heavy filters.
Noise and duplicates are blocked at ingest. Memory comes in clean and stays clean, on its own.
Runs on up to 4× less memory without giving up the precision that matters.
Send text. Embeddings, indexing, and organization happen on the server.
Precision by default
No hidden approximations. Cube Memory queries your cube's entire neighborhood and finds the mathematically closest result.
FAQ · Ask the memory
Ask a question — semantic search explains what Cube Memory does. Or tap a suggestion above.
PKM · Second brain
Notes, decisions, documents, and preferences accessible to any assistant — without relying on the limited context of a single conversation.
Integration
Simple API, lightweight SDKs, and compatibility with any model you already use.
curl -X POST https://cubememory.com.br/gateway
-H "Authorization: Bearer $TOKEN"
-d '{ "text": "Remember this" }'Pricing
No card, no price floor, and no infrastructure to manage.
For personal exploration and local development environments.
Everything Cube Memory does — no tiers, no gates, one price.