Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
Transform unstructured text documents into organized knowledge with a single command (Claude Desktop required)
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Free · no card · unsubscribe anytimeHypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
Hyper-Extract has 3.9k stars on GitHub. It has been forked 443 times. Hyper-Extract is written mainly in Python. It has been in active development since 2026. Its main topics are ai, ai-agents, cli, hypergraph.
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
Hyper-Extract is an open-source project.
Yes. Hyper-Extract is free and open source — you can use, modify and self-host it.
Hyper-Extract is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.