What problem does it solve? Agents re-read raw sources every session and lose track of where claims came from. OKB stores learned knowledge in three traceable layers — raw source snapshots, distilled notes, and verification overlays — so every claim carries its provenance chain back to the origin URL. ## Core Features & Use Cases - Layered curation pipeline: Ingest sources into bronze snapshots (with sha256 dedup), distill them into silver notes via a route-then-write two-pass flow, and fact-check into gold verification overlays. - Provenance enforcement: Every note links to its sources through sources[].resource edges, forming a four-hop evidence chain from lesson to origin URL. - Health auditing: Status reports cover stale notes, broken links, taxonomy health, and topology checks (isolated notes, thinly linked notes, unlinked source-overlap pairs), with okb_index_regen.py regenerating the index mechanically. - Use Case: After reading an arXiv paper, snapshot it into bronze, distill its concepts into silver notes with footnoted claims, then fact-check against the source so a teaching skill can later consume verified gold knowledge. ## Quick Start Use the okb skill to ingest this arXiv paper into the knowledge base and distill its key concepts into sourced notes.