Persistent, searchable memory for AI agents over the Model Context Protocol, enabling memory storage, full-text search with BM25 ranking, and retrieval across sessions.
A searchable long-term memory server for AI agents using BM25 indexing over document chunks, enabling durable recall across sessions without cloud dependencies.
Provides AI agents with persistent, searchable memory that survives across conversations using semantic search, temporal versioning, and smart organization. Enables long-term context retention and cross-session continuity for AI assistants.
Provides AI assistants with persistent long-term memory by organizing experiences into documents, memory atoms, and a knowledge graph, and enabling hybrid BM25/vector/graph retrieval with decay, reinforcement, and automatic recall.