A self-hosted MCP server that provides a personal semantic memory layer for AI tools. It enables storing, searching, and managing memories using hybrid vector and keyword search, allowing AI assistants to recall information by meaning.
A self-hosted MCP memory server with hybrid semantic and keyword search, providing persistent memory for AI coding assistants like Claude Code, Cursor, and Windsurf.
A self-hosted MCP server that captures, compresses, and indexes AI conversations, enabling persistent cross-session memory for AI assistants via hybrid retrieval.
A personal memory MCP server for Obsidian/markdown vaults that provides hybrid retrieval (semantic, keyword, tag, time-aware co-occurrence) and is shared across multiple AI clients.
A self-hosted MCP memory server that gives AI assistants persistent, semantic memory by storing facts as vector embeddings locally, supporting semantic search and swappable embedding models.
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.
