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[ARTICLE · art-30110] src=dev.to ↗ pub= topic=developer-tools verified=true sentiment=↑ positive

How to Build a Local 3D Codebase Knowledge Graph and Sync LLM Context Offline

A developer introduced Graphify Companion, an open-source tool that builds a local 3D codebase knowledge graph and syncs LLM context offline. The tool combines Node.js for MCP Server Transport and Python for AST/graph parsing, enabling AI assistants to understand structural code relationships like function calls and imports. The project is available on GitHub and works with LM Studio's local server.

read1 min views1 publishedJun 16, 2026

Introduction: Why context windows are expensive and why static folder indexing fails to capture structural relationships (like function calls or imports).

The Solution: Introducing Graphify Companion.

How the Architecture Works: Detail the combination of Node.js for the MCP Server Transport and Python for AST/graph parsing.

Step-by-Step Setup:

Cloning the repo([https://github.com/sreekanthap89/Graphify-Companion1](https://github.com/sreekanthap89/Graphify-Companion1)).

Running install.ps1 to configure Python .venv and Git Hooks.

Starting LM Studio's local server.

Copy-pasting the JSON configuration into LM Studio.

Prompting Guide: Teach readers how to write prompts that force the AI to use graph tools (query_graph vs. read_file).

Conclusion & Source: Invite readers to star the GitHub repository.

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