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text-to-cad

CAD modeling, drawings and fabrication checks for AI agents

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text-to-cad is an MIT-licensed plugin and skills library that lets AI agents build CAD models locally and export STEP, GLB, STL and 3MF files.

Pricing
Open source
Deployment
Self-hosted
Platforms
Windows, macOS, Linux
25,701stars2,444forks
4views
Updated

What is text-to-cad?

text-to-cad extends AI agents with local workflows for designing physical products. The agent writes Python scripts using build123d, built on Open CASCADE, to create parts and assemblies. Models can be exported as STEP, GLB, STL or 3MF files and viewed in the agent application or a browser.

Its skills cover engineering drawings, DXF creation, manufacturing checks, robot descriptions, simulation files and printing workflows. Installation supports macOS, Linux and Windows, configuring supported agent applications with the plugin or skills. The local CAD server retains model state in memory so edits rebuild only the changed work.

The project is MIT-licensed. Usage statistics and crash reports are enabled by default; the repository states that these exclude files, paths and prompts and can be disabled.

Key capabilities

  • CAD modeling Creates and edits parts and assemblies from text or image requests using Python scripts.
  • File export Produces STEP, GLB, STL and 3MF files from model scripts.
  • Technical drawings Generates dimensioned engineering drawings as PDFs and creates DXF profiles and layouts.
  • Manufacturing review Checks designs for additive manufacturing, sheet metal, CNC machining and injection molding.
  • Robotics workflows Creates URDF, SRDF and SDF files for robot descriptions, planning and simulation.
  • Printing workflows Slices models with OrcaSlicer using existing printer presets and sends prints through supported Bambu Lab applications.
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Where text-to-cad fits

text-to-cad fits agent-assisted workflows for part design, assembly modeling, fabrication preparation and robotics. It connects natural-language or image requests to editable model scripts, visual review, technical drawings and export files.

Before deployment, teams should verify compatibility with their agent application, required fabrication tools and printer presets. Generated geometry and manufacturing findings should be reviewed against the intended process and requirements. Teams should also review the default telemetry settings before using it with sensitive work.

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