graphify
FreeAI 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
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
Pros & Cons
- 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)
- 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
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