A Python library that gives AI agents a reliable, deterministic interface to build and maintain a research library. Two layers: a reference store for epistemic objects, and a knowledge layer of synthesis notes, concept pages, and reading paths derived from them. Local-first, no GUI, no human workflows.
No terminal required. Download the binary, upload it to your Co-Work session, and paste the setup prompt — your agent does the rest.
Download the binary for your platform
lore CLIPlace the binary in your collection folder, then upload it to your Claude Co-Work session.
Copy and paste this prompt into your Co-Work session
Research workflow — core
lore extract paper.pdf
lore staging stage '<json>' --file paper.pdf
lore staging merge
lore refs filter --query "boundary objects" --year 2019
lore files attach vaswani2017 paper.pdf
Envisioned — not built yet
We envision a transition from isolated reference metadata to shared epistemic objects that enable deeper conversations.