I open-sourced a tool that compiles raw documents into an AI-navigable wiki with persistent memory; runs 100% locally

After seeing Karpathy's tweet about using LLMs to build personal wikis from research documents, I realized I'd already been using something similar like this internally for our R&D. So I cleaned it up and open-sourced it. What it does: You drop a folder of raw documents (PDFs, papers, notes, code, 60+ formats) and the LLM compiles them into a structured markdown wiki with backlinked articles, concept pages, and a master index. It then compresses everything into a.aura archive optimized for RAG retrieval (~97% smaller than raw source data.