Graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Last verified:
What is Graphify?
Graphify is an open-source, on-device tool that maps local code repositories into a knowledge graph for AI assistants to read and query. Designed for developers, it allows AI coding tools to traverse code relationships and dependencies to provide grounded, auditable answers rather than relying on standard search functions.
Graphify pricing
Pricing model: Freemium
Open-source and free under the MIT license; an Enterprise tier is currently in early access.
Graphify pros
- Operates entirely on-device with no telemetry, ensuring data privacy.
- Integrates directly into existing AI assistants as a skill, requiring no new extensions or accounts.
- Generates visual and structured graph outputs (HTML, JSON, Markdown) that automatically detect modules and highly connected 'god nodes'.
- Provides auditable AI responses by citing the exact paths and edges traversed in the graph.
Graphify cons
- The Enterprise version is not yet released and currently requires joining a waitlist.
- Package installation is noted as 'graphifyy' (with two y's), which could cause confusion for users.
- Appears strictly focused on mapping local repositories and lacks a cloud-based or hosted alternative.
Frequently asked questions about Graphify
How does Graphify integrate with AI coding assistants?
It installs directly as a skill in assistants you already use (like Claude Code, Cursor, Copilot, etc.) using a simple command, requiring no new extensions or user accounts.
How does the tool help reduce AI hallucinations?
Instead of guessing, the AI assistant queries the generated graph and cites the specific paths and relationships it walked to find an answer, allowing the user to audit the exact code lineage.
What output files does Graphify generate when mapping a repository?
Running the tool generates three local files: an interactive graph.html for visualization, a graph.json for data parsing, and a GRAPH_REPORT.md for reading repository summaries.