A networked long-term memory server that enables AI agents to maintain persistent context across sessions via Server-Sent Events (SSE), with secure multi-tenancy and autonomous memory lifecycle management.
A long-term memory MCP server for AI companions that lets them store what the user says, let memories fade by importance, emotion and time, and automatically surface relevant ones through semantic recall, people cards, dates, letters and sticky notes. It also provides hybrid vector-plus-keyword search and memory management tools (wake, recall, remember, update, pin, forget) over stdio or authenticated HTTP with a Docker/Postgres backend and web memory globe.
This MCP server enables AI assistants to maintain persistent, human-like memory by storing and recalling information that naturally fades unless reinforced through use, with long-term promotion for frequently accessed memories.
An MCP server that provides persistent memory for AI agents by storing session snapshots, factual memories, and conversation summaries. It enables seamless continuity between interactions by allowing agents to restore previous emotional states and recall relevant past experiences.
A production-grade long-term memory MCP server that enables AI agents to persist and recall memories across sessions with importance weighting, confidence calibration, and efficient context window management.
