Graphify Turns Your Repo Into a Knowledge Graph Agents Can Query

Graphify is an MIT-licensed skill for coding agents that maps an entire project, including code, SQL schemas, docs, PDFs, even images and video, into a knowledge graph the agent can query instead of grepping through files. It installs into Claude Code, Codex, Cursor, Gemini CLI, and about twenty other assistants, and it is closing in on 77,000 GitHub stars.

The enterprise case is about cost and quality at once. Most of what a coding agent spends tokens on is rediscovering context: which service owns a table, where a config value flows, what a module actually does. Grep-driven discovery burns budget and still misses architecture. A standing, queryable graph turns that from a per-task expense into infrastructure you build once per repo, which matters when you track cost per accepted feature rather than cost per subscription.

Two cautions from reading the fine print. First, the PyPI package is graphifyy with a double y, and the project itself warns that similarly named packages are not affiliated. That is exactly the typosquat shape enterprises get burned by, so pin the package and mirror it through your internal registry before anyone installs it casually. Second, the graph is only as current as its last build, so wire regeneration into CI rather than trusting a stale map.

First step: run it on one service, then ask your agent the same architecture questions with and without the graph. The delta is your business case.