Knowledge systems
CHR0N.OS
A local knowledge archive with provenance built in
Give scattered knowledge a structure.
Files lose usefulness when their origin, classification and relationship to other work disappear. An AI-facing knowledge workflow needs more than a folder full of documents.
What I worked on.
- Copy-in document intake that preserves original files and records provenance, hashes and transformation lineage.
- Local indexing, duplicate-aware archive workflows and search over structured metadata and content.
- Interfaces for browsing, classification, chronology, relationships and archive-facing assistance.
The desktop source includes document intake, persistent document records and SQLite-backed search/indexing, with tests for intake batches, document storage, duplicate handling and policy boundaries. A separate public-beta presentation repository documents the release lane.
Desktop beta. Advanced provider, sync and multimodal features remain subject to their implementation limits.