What problem does it solve?
Scholarly research workflows need fast, structured access to paper claims, evidence, and relationships, but PDFs and unstructured notes are slow to interpret and validate.
Core Features & Use Cases
- Knows sidecar generation from academic sources: create v0.9.0
.knows.yaml structured research-paper sidecars that expose claims, evidence, relations, and provenance for token-efficient downstream use.
- Validation and quality checking: lint generated or fetched sidecars to ensure schema correctness, ID integrity, enum compliance, and anti-fabrication constraints before sharing.
- Remote discovery and querying (knows.academy + OpenAlex fallback): search and fetch existing sidecars (or metadata + abstracts when missing) to support literature search, synthesis, comparison, and peer-review style outputs.
Quick Start
Ask the AI to: generate and validate a .knows.yaml sidecar for the paper you provide, using the Knows .knows.yaml spec and the oma scholar workflow (including linting).