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RefGarden

A local 3D reference gallery where Jev chooses search phrases and highlights matching Met, NASA, Cosmos, and Prelinger Archive items from their text metadata.
Stars
35
Language
TypeScript
License
MIT
Reading time
3 min
Published by
Community
Author
AlbionaHoti
Last verified
Sep 2026

About this project

A space to find your next visual. Find images and short video references from one prompt. Explore artwork from The Met, space and science images from NASA, design references from Cosmos, and short films from Internet Archive's Prelinger Archives in a dark, three-dimensional gallery. Run locally · Try a prompt · Short videos · How Jev works · FAQ · Contribute.

Quoted from the project's README. Read the full README.

Highlights

  • Jev picks the search phrases and highlights references from titles and descriptions; it receives no image pixels, video frames, or audio.
  • Image collection targets roughly a third each from The Met, NASA, and Cosmos, with archive clips counted separately.
  • Clips must be MP4 files under three minutes and 80 MB; up to eight previews play at once, taking turns every 12 seconds.
  • Duplicate filtering groups known size and format variants and matching Met records, but does not compare pixels.
  • The hosted preview uses keyword retrieval without Jev; only the local Explore path calls TypeSafe.

Watch out

MIT-licensed, and the license covers the code rather than the media it finds. Needs Node.js 22 or newer and a TypeSafe API key, and the project installs its own pinned Bun runtime.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

X: A visual reference finder

X: LinkedIn bookmarks search

X: 1,066 reaction videos, searchable

X: Intent-based search in a Chrome extension

From the Jev guides

Original write-ups on what this entry is for.

From the Jev AI model community

Posts from builders shipping with Jev right now.

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