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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 interpret
pip install hyper-reason
PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.3>=0.19>=0.4>=1.24hyper-reason publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .