Manage embeddings and vector search
Handle multi-tenant data isolation
Scale SQLite across users
Implement hybrid search algorithms
Configure backup and recovery
Monitor usage and enforce limits
Connect your MCP client and start storing memories immediately
await memory.store("User prefers dark mode");
const context = await memory.search("UI preferences");
// Returns: ["User prefers dark mode"]Semantic + keyword search for best results. 0.7 vector + 0.3 full-text.
Complete data isolation with row-level security. Your data stays yours.
PostgreSQL + pgvector. HNSW indexes for millisecond searches.
Works with Claude Desktop, AutoGPT, and any MCP-compatible client.