Graphify Labs has introduced an AI coding assistant skill named Graphify, available on GitHub. The tool transforms any folder containing code, SQL schemas, R scripts, shell scripts, documents, papers, images, or videos into a queryable knowledge graph. This integration combines application code, database schema, and infrastructure into a single graph, enhancing developer productivity, according to github.com.
The Graphify skill supports multiple AI models including Claude Code, Codex, OpenCode, Cursor, and Gemini CLI. It enables users to query complex codebases and related assets seamlessly by turning them into interconnected knowledge graphs. The project repository on GitHub provides the app code, database schema, and infrastructure setup required to deploy the assistant skill, making it accessible for developers to integrate into their workflows.
This development addresses the challenge of navigating and understanding large codebases by providing a unified, AI-powered interface for querying diverse programming assets. Compared to traditional code search tools, Graphify’s approach of combining various data types into a knowledge graph offers a more comprehensive and context-aware coding assistant. This aligns with a growing trend of AI tools designed to improve software development efficiency and accuracy.
The Graphify Labs repository was last updated recently and remains open for contributions and enhancements. Developers interested in leveraging AI for codebase management can access the skill and documentation directly on GitHub at https://github.com/Graphify-Labs/graphify.