What problem does it solve?
corpus-ingest solves the problem of turning scattered external inputs (URLs, files, pasted articles, and PDFs) into durable, cross-linked knowledge inside a central Lorekit corpus instead of leaving them as unstructured one-off notes.
Core Features & Use Cases
- Centralized ingest routing: Accepts user-provided sources and delegates the actual filing and wiki compilation behavior to the corpus-local rules.
- Controlled archive + wiki compilation: Fetches URL content via the configured lorekit binary, archives sources into the corpus raw layer, and compiles them into the knowledge layer with backlinks and ingest state tracking.
- Safety-first handling: Preserves fetched slugs when rules allow, prevents deletion, avoids bypassing duplicate/in-progress states, and stops if the corpus cannot be written.
Quick Start
Tell your AI: ingest this URL into your default Lorekit corpus using corpus-ingest.