token-distiller
Last released
Distills PDFs, photos, and repos into token-efficient context for LLM agents. Local OCR reads embedded diagrams, not just text layers; content-hash caching collapses re-reads; BM25 retrieval bounds huge documents. Nothing is discarded — anything shortened expands back in full. 33x on a 25-page PDF, 97% on pytest output.
