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  • A
    license
    A
    quality
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    maintenance
    Enables LLMs to perform structured, verifiable knowledge operations using the Canonical Knowledge Structure (CKS) ecosystem, including validation, querying, comparison, evolution, and derivation of knowledge.
    24
    1
    MIT
  • A
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    Not graded
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    C
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    Enables deterministic, neural-free compilation of natural language into typed intent and canonical receipts, with proof-gated synthesis and governed tool use via read-only compiler functions.
    MIT
  • A
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    C
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    Exposes generate_image for general image generation and hatch-pet specific workflows: canonical base generation, identity reference, multi-image input, layout guides, and single-action row chroma-key source images.
    2
    MIT
  • A
    license
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    D
    maintenance
    A Model Context Protocol server providing pre-curated canonical memory, prose/code provenance checking, and benchmark metrics to improve accuracy and reduce costs across AI tools.
    AGPL 3.0