guanmo-ai/awesome-ai-motion

What it solves

Finding standout AI-generated motion design is scattered across social media. This project collects 1,417 works where AI wrote code that draws, renders, or drives animations — using tools like Blender, Three.js, and Canvas — and organizes them with author-published source code, prompts, and production notes. It gives creators one place to search, filter, play, and learn from the best examples.

How it works

The project is an curated list with a browsable gallery. Works are grouped into seven categories (product promo, knowledge explainer, short motion, character animation, interactive demo, narrative short, music & lyrics), each mapped to a dedicated Markdown file. The online gallery is hosted on GitHub Pages: each cover is a link that plays the video directly, or jumps to the author's original post when no gallery video exists. Sorting combines bookmark counts and recency (bookmark numbers are snapshots of the original post). Special views include "most bookmarked" and "curator-picked" works. For local use, clone the repo and run node scripts/serve.mjs with Node.js 22+ (no dependencies) to open a local gallery at http://127.0.0.1:4178.

Who it's for

Motion designers, developers, and anyone curious about AI-assisted animation. If you want reference material for your next project, or want to study how others combine AI code generation with motion design, this collection is a practical starting point.

Highlights

• 1,417 curated AI-generated motion works, split into 7 categories (product, education, motion, characters, interactive, stories, music).
• Each entry shows a cover, title, author, bookmark count, duration, and links to the original post; many also link to source code, prompts, or making-of details.
• The online gallery supports search, filtering, and inline playback.
• "Recently worth watching" ranks new works by a blend of bookmarks and recency.
• Can run the gallery locally with a single command (no install step needed).