wytOS

Creative professionals and knowledge workers accumulate context across dozens of tools — notes apps, chat logs, file systems, brand documents, and media libraries. None of these tools talk to each other, and important creative context gets lost in the fragmentation. Retrieving the right piece of information at the right creative moment is unreliable and slow.

wytOS provides a structured creative memory database with SQLite FTS5 full-text search, category-aware entry forms, and local LLM-powered summarization, tagging, and structuring. Instead of scattering context across tools, wytOS keeps creative material available as a unified, searchable, AI-assisted memory layer that lives on your own machine.

I designed wytOS as a local-first system with a FastAPI backend, SQLite FTS5 for efficient full-text search, and a React/Vite frontend for category-aware data entry. The system supports structured fields by content category, CRUD APIs for entries, and a local LLM integration layer for summarization, auto-tagging, and content structuring. The architecture is built for a future RAG/workflow layer and custom LoRA/QLoRA fine-tuning for voice/style adaptation.

Implement the RAG/workflow layer for context-aware retrieval. Train custom Qwen LoRA/QLoRA for watchyourtemper voice and style. Add audio metadata extraction and image content indexing. Build the creative workflow automation engine.