Turn your projects into knowledge graphs for artificial intelligence
Graphify transforms different types of data such as code files, database schemas and documentation into a queryable knowledge graph structure. This Python-based tool aims to create a central data layer for various AI coding assistants.
Updates
- September 19, 2026: Stars 118,767 → 119,465, latest release v0.9.64 (September 18, 2026).
- September 17, 2026: Stars 118,164 → 118,767, latest release v0.9.63 (September 16, 2026).
- September 16, 2026: Stars 116,307 → 118,164, latest release v0.9.62 (September 15, 2026).
- September 13, 2026: Stars 116,840 → 116,307, latest release v0.9.61 (September 12, 2026).
What you get
- The code turns your files and documents into a queryable information network.
- It uses native and fast tree-sitter technology for code analysis.
- It facilitates the transition between concepts by establishing connections between files.
Installation
uv tool install graphifyy # install the CLI (or: pipx install graphifyy)
graphify install # register the skill with your AI assistantRunning it
/graphify .If you don't write code
I converted this project directory into a knowledge graph using Graphify. Now, using this structure, I want you to analyze the relationships between concepts in the project, explain how complex code blocks are connected to each other, and detail the role of master nodes such as 'APIRouter' in the system. Please distinguish between information coming directly from the source code and inferred connections by taking into account the 'EXTRACTED' and 'INFERRED' tags when performing your analysis.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-14: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.