Graphify - FalkorDB Docs

Overview

Graphify turns code, documentation, PDFs, screenshots, and notes into a connected knowledge graph. Its FalkorDB export can load that graph directly into FalkorDB for persistent querying. Use Graphify when you want to:

build a graph from an existing repository, docs set, or mixed corpus
expose concept and relationship structure across files and folders
generate a reusable graph for downstream retrieval, agent memory, and exploration
keep an artifact that can be loaded into FalkorDB for long-lived querying

This is a best-fit workflow for graph-first repository analysis, documentation indexing, and knowledge-base construction.

Install Graphify

Graphify runs as a skill in AI coding assistants. The examples below cover Claude Code and Codex; see the Graphify README for other supported assistants. Install the CLI with the FalkorDB integration and register the skill:

uv tool install "graphifyy[falkordb]"
graphify install

uv tool install "graphifyy[falkordb]"
graphify install --platform codex

Then open your AI coding assistant in any directory and run the skill on a folder or repository:

/graphify ./my-project

$graphify ./my-project

Graphify supports additional modes such as --wiki, --watch, and --mcp depending on how you want to consume the graph.

Load the graph into FalkorDB

Start FalkorDB locally:

docker run -p 6379:6379 falkordb/falkordb:latest

Then run Graphify with the FalkorDB push option. The target graph is named graphify by default:

/graphify ./my-project --falkordb-push falkordb://localhost:6379

$graphify ./my-project --falkordb-push falkordb://localhost:6379

Graphify uses MERGE, so pushing again does not duplicate unchanged entities. It does not remove entities that disappeared from the source corpus; clear or replace the target graph before pushing when deletions must be reflected. If you need a portable Cypher artifact instead, use --falkordb; Graphify writes the statements to graphify-out/cypher.txt. Direct push is recommended because FalkorDB executes one Cypher statement at a time.

Querying the imported graph

After the graph is in FalkorDB, you can use regular FalkorDB queries to explore the data, for example:

MATCH (n)-[r]->(m)
RETURN type(r), count(r)
ORDER BY count(r) DESC
LIMIT 20;

MATCH (n)
WHERE n.name CONTAINS "query"
RETURN n
LIMIT 50;

Tips

For large corpora, keep the Graphify output as a reusable artifact. Re-push it for additive updates, or replace the target graph when source entities were removed.

​Overview

​Install Graphify

​Load the graph into FalkorDB

​Querying the imported graph

​Tips

​Reference

Overview

Install Graphify

Load the graph into FalkorDB

Querying the imported graph

Tips

Reference