A local-first personal RAG memory system that turns AI conversation history into a searchable, retrievable knowledge base via MCP, enabling LLMs to semantically search past conversations.
Provides a local context-memory layer for AI assistants, enabling retrieval-augmented queries, explanations, feedback, and status checks via MCP tools.
A personal memory MCP server that stores and retrieves conversation memories, enabling AI agents to recall past discussions, promises, and preferences using natural language.
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.
MCP server providing a persistent, temporal memory brain for AI assistants, enabling cross-session recall of facts with relationships and temporal context.