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graphify

Free

AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable

Search ToolsFreeFree tier
Inputs: code
Type
Open Source
Company
Graphify Labs
Visit Website GitHub (41.4k stars)

About graphify

Graphify is an open-source, on-device knowledge graph for AI coding assistants. It transforms any codebase, documentation, database schemas, and more into a structured, queryable graph that AI assistants (like Claude Code, Cursor, Codex, and Gemini CLI) can traverse instead of relying on grep or vector search. The graph is built locally with a single command and includes community detection, god nodes, and path-based querying. Every answer is traceable to specific file paths and relationships, providing auditable outputs. Graphify is MIT-licensed, runs entirely on the user's machine with no telemetry, and is backed by Y Combinator. It has been adopted by teams like Rootly AI Labs and has accumulated over 92,000 GitHub stars and 3.4M+ PyPI downloads.

Key Features

One-command installation as a skill for 17 AI coding assistants (Claude Code, Cursor, Codex, Gemini CLI, etc.)
Generates local graph files (graph.html, GRAPH_REPORT.md, graph.json) from any codebase, documentation, or schema
Path-based querying returns exact relationships with source file traces
Automatic community detection and god node identification in code graphs
On-device processing with no telemetry or account required
Supports 36 programming languages and multiple input types (code, SQL, scripts, docs, images, videos)
MIT-licensed open source with no node caps or limits
Includes MCP server, CLI, and /graphify skill interface

Pros & Cons

Pros
  • Open-source (MIT license) and completely free with no paid tier required
  • On-device processing ensures code privacy and low latency
  • Works with a wide range of popular AI coding assistants
  • Provides structured, traceable answers rather than probabilistic text
  • Community detection and god node highlighting improve code structure understanding
  • Supported by an active open-source community (92k+ GitHub stars, 3.4M+ PyPI downloads)
Cons
  • Enterprise features (formal verification, graph-aware code review, Jira connector) are still in early access
  • No official paid plan yet, which may limit enterprise support and SLAs
  • Requires initial installation and configuration per project
  • May have a learning curve for teams not familiar with knowledge graphs
  • Graph generation for very large repositories could be time-consuming

Best For

Codebase comprehension and onboarding for new developersTrace dependency and ownership relationships in large repositoriesIncident management by mapping incidents, alerts, teams, and services into a queryable graph (e.g., Rootly integration)Automated code review with graph-aware contextAI assistant grounding – reduce token consumption by up to 71.5× by providing structured knowledge instead of raw context

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FAQ

Is Graphify really free?
Yes, the full product is MIT-licensed open source and runs entirely on your machine with no node caps, account, or credit card required.
Is there a paid plan?
Not yet. Enterprise features (formal verification, graph-aware code review, graphify digest report, and Jira connector) are in early access. Pricing will be shaped with early users.
Does my code leave my machine?
The graph is built and stored locally. Queries run against your local graph; model calls go to whichever LLM backend you configure. No telemetry is collected.
Can I use it at work?
Yes, the MIT license permits commercial use. You can point it at any repository you are allowed to work on.