mcp-memory-libsql

High-performance persistent memory system for the Model Context Protocol offering vector search, semantic search, knowledge graph management, and secure token-based authentication using libSQL for local and remote databases.

Model Context Protocol server enabling persistent storage, retrieval, search, and management of text memories with tagging support, using local JSON file storage for seamless integration and efficient memory handling.

Provides a Model Context Protocol server offering graph-based knowledge representation with semantic search powered by OpenAI embeddings and Qdrant vector database, featuring file persistence, entity management, HTTPS support, and Docker deployment.

Extend agent memory and context windows with a Model Context Protocol server offering namespace management, key-value storage, and advanced semantic search using E5 embeddings for efficient recall and context handling.

Provides persistent memory through a local knowledge graph enabling entity management, relationship mapping, observation tracking, and advanced search to enhance contextual understanding in Model Context Protocol applications.