{
  "name": "kemb",
  "version": "0.6.0",
  "description": "Kemb combs document corpora into agent-ready form. Point Claude at a directory of PDFs; probe the tree, draft a corpus plan (inventory, taxonomy, cost), and on approval execute a pass that classifies, routes, parses, and renders documents into a markdown mirror with hash-stamped frontmatter and a queryable manifest. Single-file parse and classify remain as facets powered by LlamaCloud; once parse yields markdown, the agent extracts fields and splits sections itself.",
  "author": {
    "name": "Andrew Crosley",
    "email": "crosleya1394@gmail.com"
  },
  "license": "MIT",
  "homepage": "https://github.com/acrosley/kemb",
  "repository": "https://github.com/acrosley/kemb.git",
  "keywords": [
    "kemb",
    "kembing",
    "corpus-curation",
    "agent-ready",
    "rag",
    "pdf",
    "ocr",
    "document-parsing",
    "classification",
    "markdown",
    "llamacloud"
  ]
}