ShelbyMCP is an open-source, zero-dependency Model Context Protocol (MCP) memory server that provides persistent, knowledge-graph-based memory for AI agents. Serving as the memory backbone for the Shelby AI coworker and compatible with any MCP-enabled AI tool, ShelbyMCP offers structured, searchable, and contextually rich memory management. It includes automated enrichment ('Forage skill'), full-text search, knowledge graph traversal, and intelligent memory consolidation, making it ideal for developers and teams building AI agents or tools that require persistent, context-aware memory.
Visit Shelbymcp's official website for product details and getting started.
Comprehensive documentation for installing and using ShelbyMCP.
Community discussions and issue tracking for ShelbyMCP.
Code examples and usage scenarios for implementing ShelbyMCP in projects.