amagine-ai/amagine3d

Amagine3D: From hardware requirements to editable 3D designs

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Summary Information

Updated 25 seconds ago
Added to GitGenius on September 14th, 2026
Created on August 19th, 2026
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 211
Total Stargazers: 4,754 (+0)
Total Subscribers: 45 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.0 hours
Mean response time: 2.0 days
90th percentile: 6.7 days
Tracked items: 14

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 29% of issues opened in the past year have been closed. Three people close 100% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 2
New in 7 days: 4
Closed in 7 days: 3
Avg open age: 13 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 4
Closed in 7 days: 3
Comments in 7 days: 4
Events in 7 days: 6

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Detailed Description

Amagine3D is a 3D design generation tool that creates editable hardware enclosures and assembly structures from natural-language requirements, reference images, and component dimensions.

The tool solves the problem of rapidly designing custom enclosures for hardware projects by automating the layout of internal components and generating the surrounding structure. It takes a product description, reference images, and key dimensions as input, then produces complete designs with mounts, interfaces, enclosures, and thermal-management structures. The generated designs are not static outputs but remain fully editable through their Python and build123d source code. The system arranges internal components first, then creates the enclosure around them, and can handle multi-part designs with covers, hinges, and latches. For mechanisms with moving parts, it validates collisions and operating clearances along defined motion paths. Designs export to STEP, STL, and 3MF formats.

Amagine3D suits developers and hardware creators who need to iterate quickly on enclosure designs without manual CAD work. It is particularly valuable when designs must accommodate specific internal components and when source-code editability matters more than a locked, proprietary output. The tool works best for printable enclosures and rigid mechanisms rather than complex assemblies, and it validates critical manufacturing concerns including wall thickness, print orientation, plate fit, and interference before accepting a design.

Development activity shows consistent engagement with the codebase, with regular commits addressing both feature additions and refinements to the design validation pipeline. The project maintains active issue tracking and responds to user feedback, indicating ongoing attention to usability and correctness. Work spans the full stack from natural-language interpretation through geometry generation and export, suggesting a team focused on end-to-end reliability rather than isolated components.