{"repo":"yifanfeng97/Hyper-Extract","free":true,"listed":false,"github":"https://github.com/yifanfeng97/Hyper-Extract","clone":"git clone https://github.com/yifanfeng97/Hyper-Extract.git","description":"Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.","language":"Python","stars":3338,"topics":["ai","cli","hypergraph","information-extraction","knowledge","knowledge-graph","llm","python","rag","ai-agents"],"license":null,"category":"ai-agents","readme_excerpt":"Smart Knowledge Extraction CLI Transform documents into structured knowledge with one command. 📖 English Version · 中文版 \"Stop reading. Start understanding.\" \"告别文档焦虑，让信息一目了然\" 📰 What's New - 🤖 DeepSeek Provider — Use deepseek-v4-flash / deepseek-v4-pro directly via create client(llm=\"deepseek\") . V4 thinking mode is auto-disabled for structured extraction compatibility. (#67) - 🔌 MCP Server — Query your knowledge abstracts from Claude Desktop and IDE agents with he-mcp . (PR #40) - 🧠 Anthropic Claude Support — Use claude-opus-4-8 , claude-sonnet-4-6 , and claude-haiku-4-5 directly as your LLM provider. (PR #38) - 📝 Obsidian Export — Turn any graph into an Obsidian vault with Markdown notes linked by [[wikilinks]] . (PR #37) - 🧹 he clean — Remove a KA's index or the whole knowledge abstract in one command. (PR #39) - 🔧 Reliability Fixes — True mean for multi-chunk embeddings, capped OpenAI-compatible batch sizes, and resolved multi-word llm merge strategies. (PRs #35, #36, #41) See the full changelog in the GitHub releases. Hyper-Extract is an intelligent, LLM-powered knowledge extraction and evolution framework. It radically simplifies transforming highly unstructured texts into persistent, predictable, and strongly-typed Knowledge Abstracts . It effortlessly extracts information into a wide spectrum of formats—ranging from simple Collections (Lists/Sets) and Pydantic Models , to complex Knowledge Graphs , Hypergraphs , and even Spatio-Temporal Graphs . ✨ Core Features :","default_branch":null,"files":null,"tree":[],"storefront":"/r/yifanfeng97","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/yifanfeng97/Hyper-Extract/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}