Overview
A memory engine that gathers scattered conversations, documents and notes, stores them with their sources, and links related pieces. When a question arrives, it retrieves only the fragments that matter — by keyword, by meaning, or both.
The problem
Useful context is scattered across chats, documents and notes — and is usually lost by the time it is needed.
Approach
Store each fragment with its source, link related pieces, and answer a query with full-text, semantic or hybrid retrieval, always pointing back to the original source.
What it does
- Full-text, semantic and hybrid retrieval
- Source-grounded results
- Quality checks on retrieval
- Integration with Sereaniel
Status & scope
Local research build, v0.8. Not a public service.
Next
Retrieval quality experiments and tighter Sereaniel linkage.
The visual above is a concept visualization, not a product screenshot. No private data is shown.