Collect every beam of fading inspiration.
Temory consolidates content saved across platforms (YouTube, Bilibili, Xiaohongshu, Zhihu, etc.) into one searchable knowledge base. AI automatically summarizes and vectorizes each item, building a personal knowledge graph. Users can search semantically in natural language and ask AI questions grounded in their saved content via RAG. Key features: Share Extension ingest, AI summarization, pgvector semantic search, GPT-4o-mini RAG Q&A, multi-platform OAuth sync, and user profile extraction.
Design
Deep ocean blue + warm amber accent, glass-morphism design language. Dynamic light/dark themes, floating capsule tab bar, glass card system. Low-contrast borders, subtle shadows, minimal amber highlights. Spring-based animations with draggable bottom tab bar.
Architecture
Multi-platform: iOS (SwiftUI + SwiftData + MVVM), HarmonyOS (ArkUI + ArkTS), Android (Kotlin), Backend (Node.js + Fastify + TypeScript + Prisma + PostgreSQL/pgvector + Redis/BullMQ). Backend follows Clean Architecture (Routes → Services → Repository → Prisma ORM) with abstracted auth/storage/database interfaces for vendor portability. Async AI pipeline via BullMQ with multi-model fallback (OpenAI/Kimi/DeepSeek/Doubao).
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