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@gaodes/pi-graphify
Advanced tools
Turn any folder into a queryable knowledge graph — build, query, explore, and update graphs from inside Pi
Turn any folder of files (code, docs, papers, images, video) into a queryable knowledge graph with community detection, an honest audit trail, and three outputs: interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPH_REPORT.md.
Inspired by graphify — the AI coding assistant skill. This extension wraps graphify's Python CLI for native Pi integration.
It also bundles a graphify skill (skills/graphify/SKILL.md) for full-pipeline orchestration. Use /skill:graphify when you want the guided multi-step workflow; use the tools and /graphify command for fast operational calls.
| Tool | Description |
|---|---|
graphify_build | Build a knowledge graph from a directory (full pipeline: detect → extract → cluster → visualize) |
graphify_query | Query the graph — BFS for broad context, DFS for tracing specific paths |
graphify_path | Find the shortest path between two concepts in the graph |
graphify_explain | Plain-language explanation of a node — everything connected to it |
graphify_add | Fetch a URL and add it to the corpus, then update the graph |
graphify_update | Incremental update — re-extract only changed files |
graphify_watch | Watch a directory for changes, auto-rebuild graph on code edits |
graphify_cluster | Re-run community detection on an existing graph (no re-extraction) |
| Command | Description |
|---|---|
/graphify | Single entry point with autocomplete for all subcommands and flags |
/graphify <path> # build graph (full pipeline)
/graphify <path> --mode deep # thorough extraction, richer INFERRED edges
/graphify <path> --update # incremental — re-extract only changed files
/graphify <path> --cluster-only # rerun clustering on existing graph
/graphify <path> --no-viz # skip visualization, just report + JSON
/graphify <path> --obsidian # generate Obsidian vault
/graphify <path> --svg # export graph.svg
/graphify <path> --graphml # export for Gephi / yEd
/graphify <path> --neo4j # generate cypher.txt for Neo4j
/graphify query "<question>" # BFS traversal — broad context
/graphify query "<question>" --dfs # DFS — trace a specific path
/graphify query "<question>" --budget 1500 # cap answer at N tokens
/graphify path "ConceptA" "ConceptB" # shortest path between two concepts
/graphify explain "ConceptName" # plain-language explanation of a node
/graphify add <url> # fetch URL, save to ./raw, update graph
/graphify add <url> --author "Name" # tag who wrote it
/graphify update <path> # incremental update
/graphify watch <path> # watch folder, auto-rebuild on changes
/graphify cluster # rerun clustering on existing graph
/graphify hook install # install git hooks for auto-rebuild
/graphify hook uninstall # remove git hooks
/graphify hook status # check hook status
graphifyy package (auto-installed on first run): pip install graphifyy or uv tool install graphifyypi install @gaodes/pi-graphify
Key: pi-graphify in prime-settings.json (legacy graphify key auto-migrates on load).
| Setting | Type | Default | Description |
|---|---|---|---|
enabled | boolean | true | Enable/disable the extension |
pythonPath | string | "python3" | Path to Python interpreter |
outputDir | string | "graphify-out" | Output directory name |
statusbar | object | built-in defaults | Optional pi-statusbar widget settings |
On build initialization, the extension ensures .gitignore exists and applies Graphify-specific rules:
graphify-out/ trackedgraphify-out/cache/graphify-out/.graphify_pythongraphify-out/.graphify_rootgraphify-out/cost.jsonIf a legacy graphify-out/ ignore entry exists, it is removed automatically.
~/agents/primecodex/packages/pi-graphify/agents/primecodex/packages/pi-graphifygithub.com/gaodes/pi-graphifyFAQs
Turn any folder into a queryable knowledge graph — build, query, explore, and update graphs from inside Pi
The npm package @gaodes/pi-graphify receives a total of 112 weekly downloads. As such, @gaodes/pi-graphify popularity was classified as not popular.
We found that @gaodes/pi-graphify demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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