Show HN: Home Memory – A local DB of my house, down to cables and pipes (github.com)

Home Memory, a new AI tool, has been introduced as a local database solution designed to offer your AI assistant a structured repository of information about your home, including the layout, devices, and connections. By integrating with existing AI frameworks like Claude and OpenAI Codex, Home Memory allows users to document and query details about their homes simply by speaking or providing inputs like photos and invoices. The system automatically categorizes and stores data, emphasizing ease of use with no manual entry, making it accessible even for those not technologically inclined. This development is significant for the AI/ML community as it showcases the practical application of the Model Context Protocol (MCP), enhancing how AI assistants can interact with localized data while keeping user information private and secure. The storage is managed in a single file on the user’s machine, employing Firebird as its embedded database. Home Memory not only enables home documentation and maintenance tracking but also facilitates planning for renovations and improvements, addressing a growing demand for smart home management tools that rely on AI capabilities to streamline organization and knowledge management.