HolonFS: Semantic Filesystem Indexing for AI-Driven Operating Systems

We present HolonFS, a semantic indexing layer for Linux filesystems that replaces structuralsearch (find, locate) with search by meaning. The architecture consists of three independent layers:ext4 extended attributes (xattr) as the persistent source of truth, a NumPy vector array as aSIMD-friendly in-memory cache, and the KuRz embedder operating in a 15-dimensionalemotional-cognitive space with no external models required. A full scan of 500,000 files completesin under 10 ms on AVX2-capable processors. HolonFS requires no external vector databases whilemaintaining full fault tolerance: destroying any single layer does not cause data loss. The systemshares its representation space with FractalMemory and FEHM (Fractal Event Horizon Memory),enabling unified semantic access across conversation history and the filesystem — a foundationalproperty of the HolonOS architecture.Keywords: semantic filesystem, extended attributes, embedding, numpy, inotify, supply-chain security, AI operatingsystems, HolonOS