Preparing…
Search enables once the embedding model (~23 MB) finishes loading. It is fetched from this site only — no CDN, no third parties.
Stored memories
Verify it yourself: open your browser's network tab. After the initial same-origin asset load, this page makes no further requests — embedding, storage and search all happen locally. Reloading the page discards everything.
This is the real stack, shrunk to a page
The demo uses the same components as the self-hosted MCP Memory Service — just without persistence, consolidation, or multi-client access.
In this demosqlite-vec (WASM, in-memory)
→
In the servicesqlite-vec backend with persistent storage, WAL, hybrid cloud sync
In this demoall-MiniLM-L6-v2 ONNX in the browser
→
In the servicethe same ONNX embedding model, server-side — no GPU, no API keys
In this demoone page, one session
→
In the serviceMCP + REST + OAuth 2.1 for 25+ AI clients, knowledge graph, consolidation