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.
Persistent, structured memory server for AI agents using the Model Context Protocol, with categorized storage and tools to add, get, delete, and list memories.
Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.
MCP server that provides AI assistants persistent context memory across sessions, using Supabase PostgreSQL and pgvector to save, search, list, and delete memories via natural language.
A personal memory MCP server that stores and retrieves conversation memories, enabling AI agents to recall past discussions, promises, and preferences using natural language.
Provides a structured documentation system for context preservation in AI assistant environments, helping users create and manage memory banks for their projects.