ShelbyMCP is an open-source, zero-dependency MCP (Model Context Protocol) memory server that provides persistent, structured, and contextual memory for AI tools and agents. It exposes a knowledge graph memory layer, connecting user 'thoughts' with explicit relationships and metadata—enabling AI assistants like Claude, Cursor, Windsurf, Gemini, and more to recall, organize, and reason over past data, decisions, and context. ShelbyMCP offers memory capture, retrieval, graph exploration, bulk operations, scheduled enrichment (Forage skill), and can run standalone (local SQLite), requiring no Docker, Python, or cloud accounts.
Visit Shelbymcp's official website for product details and getting started.