A local-first memory MCP server that enables storing, searching, and managing personal memories with hybrid keyword and semantic recall, all on-device.
MCP server that enables persistent, hybrid, local memory for LLM agents, with vector + BM25 search, knowledge graph, and policy-driven retention, providing token-budgeted context injection for AI assistants.
MCP server providing cognitive memory storage with dual memory system (project and user), semantic classification, time knowledge graph, and memory decay, enabling persistent context-aware interactions.
An MCP server enabling AI assistants to store, retrieve, and manage contextual information across conversations with features like persistent memory, advanced search, tagging, and privacy controls.
A memory-enhanced MCP server with RAG database and expiring memory capabilities, enabling AI systems to store and retrieve memories and documents with semantic search.