ckg-extract is a command-line tool that extracts concise knowledge graphs (CKG) from any domain in a model-agnostic way. It compresses information into traversable graph structures suitable for retrieval, agents, or as a RAG alternative. Licensed under MIT with keywords highlighting its use with LLMs and MCP, it is available on PyPI.
ckg-extract sits in PulseGate's AI & ML category. It focuses on converting complex domains or data into structured, traversable knowledge graphs for RAG or agent use cases. It is built as an open-source project for developers. ckg-extract is open source under the MIT license. It runs on the command line.
It is developed by Yarmoluk, and it first shipped in 2026. Key capabilities include knowledge graph extraction, model agnostic, and domain compression. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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