A vendor-independent memory layer MCP server that enables multiple LLMs and AI agents to share and persist personal memories, knowledge, and context across sessions, with support for full-text search and tagging.
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.
Persistent memory MCP server for AI agents that stores, recalls, and searches conversation history, key-value context, and long-term entries across sessions with semantic search and FIFO queues.
A lightweight MCP server that provides long-term memory for LLMs by storing and retrieving important facts, decisions, and preferences through smart semantic search and automatic organization.
Provides persistent memory (L1/L2/L3 encrypted), web-search savings, and thread memory for AI agents, enabling token savings and context retention across MCP clients.
