MaterialSearch is a local media search engine that enables natural language search over personal photos and videos using the CLIP multimodal model (Chinese-CLIP-vit-base-patch16). The system supports text-to-image, image-to-image, text-to-video, and image-to-video search, as well as similarity scoring. The repository contains the frontend code (Vue.js 3 with Element Plus UI), authentication pages, internationalization files, a Tkinter-based configuration GUI for Windows, and Docker deployment configuration. The core backend logic (Flask API, CLIP model inference, media indexing) resides in a separate closed-source package (`materialsearch-core`). The application is designed for local deployment, with optional GPU acceleration, and is packaged as Docker images or Windows bundles. It is primarily maintained by the original author with limited community contribution due to obfuscated source code and an auto-closing issue policy.