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    <title>PyPI recent updates for hyper-reason</title>
    <link>https://pypi.org/project/hyper-reason/</link>
    <description>Recent updates to the Python Package Index for hyper-reason</description>
    <language>en</language>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/hyper-reason/0.1.2/</link>
      <description>A logical reasoner that uses a knowledge graph as a world model and the IKL logic DSL to beat dense-embedding/RAG precision+recall: ingest documents into a SQLite KG, query/forecast/counterfactual via IKL compiled to SQL, and return D3-visualisable graphs + grounded LLM interpretations with honest refusal. Local developer tool; the only AWS dependency is Bedrock InvokeModel for the Strands agent. Bundles hyper-kg + hyper-gliner.</description>
      <pubDate>Fri, 19 Jun 2026 00:14:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/hyper-reason/0.1.1/</link>
      <description>A logical reasoner that uses a knowledge graph as a world model and the IKL logic DSL to beat dense-embedding/RAG precision+recall: ingest documents into a SQLite KG, query/forecast/counterfactual via IKL compiled to SQL, and return D3-visualisable graphs + grounded LLM interpretations with honest refusal. Local developer tool; the only AWS dependency is Bedrock InvokeModel for the Strands agent. Bundles hyper-kg + hyper-gliner.</description>
      <pubDate>Thu, 18 Jun 2026 06:39:45 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/hyper-reason/0.1.0/</link>
      <description>A logical reasoner that uses a knowledge graph as a world model and the IKL logic DSL to beat dense-embedding/RAG precision+recall: ingest documents into a SQLite KG, query/forecast/counterfactual via IKL compiled to SQL, and return D3-visualisable graphs + grounded LLM interpretations with honest refusal. Local developer tool; the only AWS dependency is Bedrock InvokeModel for the Strands agent. Bundles hyper-kg + hyper-gliner.</description>
      <pubDate>Thu, 18 Jun 2026 04:12:52 GMT</pubDate>
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