Claude-tinderbox: Search your Claude.ai conversation history locally via MCP (github.com)

Claude.ai has introduced a new tool called "Claude-tinderbox," which allows users to search their local conversation history from Claude.ai. This innovation combines several advanced technologies, including hybrid retrieval methods that utilize both semantic and full-text search across exported conversation data. Users can export their conversations, which are then indexed for fast searching using tools like "tinderbox_search" and "tinderbox_get_conversation." Notably, the system maintains a provenance record, ensuring that every retrieved statement is tied back to its original context rather than simply asserting facts. The significance of Claude-tinderbox is twofold: it enhances personal productivity by enabling users to reference past interactions and learnings within the same conversational framework, reducing redundancy in inquiry and reasoning. Additionally, the implementation of embeddings enhances the search performance, achieving notable accuracy on a test set. Designed for macOS users with Apple Silicon, the system employs local resources like Supabase for database management, showcasing a blend of practical user applications and sophisticated backend architecture. This project exemplifies the move towards more personalized AI experiences, emphasizing user control over their data and streamlining the interaction with AI for iterative learning and development.