Builds a navigable knowledge graph from mixed folders with HTML and JSON exports.
npx skills add https://github.com/Noegnesis/noesis --skill graphify-windows-noegnesis
Please help me install this Agent Skill. Skill: graphify-windows Source: https://github.com/Noegnesis/noesis/tree/main/skills/graphify Command: npx skills add https://github.com/Noegnesis/noesis --skill graphify-windows-noegnesis
Graphify transforms messy collections of files into a structured knowledge graph you can navigate, query, and audit, so you stop re-reading the same materials and start seeing cross-document connections.
Run /graphify and let it build a complete graph from the current directory into graphify-out/ (HTML, graph.json, GRAPH_REPORT.md).
High-intent search queries and answers about installing and using this skill.
You can build a knowledge graph from a folder by running graphify to extract entities, cluster communities, and export interactive HTML and GraphRAG JSON. It processes codebases, research collections, and personal folders using deterministic AST and agent-based semantic extraction.
An audit trail labels every relationship as EXTRACTED, INFERRED, or AMBIGUOUS, allowing you to see exactly what is grounded versus speculative. This ensures you can trust the connections discovered across your files and verify the generated GRAPH_REPORT.md.
Yes, after building a knowledge graph you can export the output to GraphML or Neo4j, or serve it directly via an MCP server. These persistent outputs survive across sessions for later querying and visualization.
Yes, the graph clustering works on codebases, reading corpora, and research collections by detecting communities across mixed file types. It optionally uses deep semantic mode and media transcription to process diverse inputs before generating clustered reports.
The best way to visualize a knowledge graph from local documents is through the generated interactive HTML output, which provides web-based navigation. You can also use the GraphRAG JSON export for integration with other web visualization tools.
You can use the incremental update feature to modify an existing knowledge graph when files change, avoiding a full rebuild. This applies deterministic AST extraction and agent-based semantic extraction only to new or updated materials before regenerating exports.
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