Provides AI assistants with persistent memory through local ChromaDB vector storage, featuring automated file ingestion and batch processing for over 70 file types. It enables advanced vector search, EXIF metadata extraction for photos, and duplicate file detection across local directories.
Enables searching local images using natural Japanese queries, leveraging a Japanese-specific CLIP model for similarity search and providing efficient caching and fast retrieval via MCP and HTTP endpoints.
Enables users to search and retrieve photos from a self-hosted Immich photo library via natural language, supporting CLIP-based semantic search, metadata filtering, album browsing, and share link creation.
Enables natural language search of local photo archives using AI-powered semantic understanding, with integration into Claude Desktop via the Model Context Protocol.
