Librarian

Librarian uses local AI embeddings for semantic search:

You saved: "Stripe webhooks need idempotency checks" You search: "handling duplicate payment events" → It finds it.

- all-MiniLM-L6-v2model (384-dim embeddings)
- ~30MB download on first run, cached locally
- No API calls — fully offline

Results ranked by semantic similarity, recency (60%), and hit count (40%).
- auth({ action: "login" })— returns code + URL
- Visittelvok.com/device, enter the code
- auth({ action: "complete" })— saves API key locally

Keys stored in.librarian/.auth, expire after 90 days.

.librarian/ ├── local/ # Your entries ├── imported/ # Downloaded books ├── packages/ # Purchased content ├── archived/ # Stale but searchable ├── index.json # Semantic embeddings ├── models/ # Cached embedding model └── .auth # API key (git-ignored)

- Fork the repository
- Create a feature branch (git checkout -b feature/my-feature)
- Commit changes (git commit -m 'Add my feature')
- Push (git push origin feature/my-feature)
- Open a Pull Request

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