` to see if there is an instruction template or code handling this specific schema.

// 2h agoOPENSOURCE RELEASE

` to see if there is an instruction template or code handling this specific schema.

Wardrobe is a local-first, open-source personal inventory application that uses AI to extract clean, background-free clothing cutouts and drape them onto modeled images. The app runs entirely locally, saving data in a JSON database and leveraging Codex skills to suggest clothing combinations.

// ANALYSIS

Wardrobe addresses the tedious manual effort of background removal for digital clothing organization by automating garment isolation. Its local-first, JSON-based storage appeals to privacy-focused users, though configuring local AI execution and Codex skills might present a barrier to non-technical audiences.

–Automatic garment isolation: Uses AI to extract clothing from images with clean transparency.
–Virtual try-on draping: Visualizes how garments fit together by overlaying them onto modeled images.
–Local-first design: Keeps photos and the JSON database on the user's local machine for maximum privacy.
–Codex skill support: Automates folder import tasks and generates smart outfit recommendations.

// TAGS

wardrobeopen-sourceaicomputer-visionfashionlocal-firstcodex

DISCOVERED

2h ago

2026-07-17

PUBLISHED

2h ago

2026-07-17

RELEVANCE

7/ 10

AUTHOR

Github Awesome

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