adunext/adu-motion-video

What it solves

This project provides a standardized way to automate the creation of high-quality, motion-graphic-heavy videos (such as educational content or video essays) by using AI agents to interpret structured animation templates.

How it works

The project introduces a .motion file format—a comprehensive package containing animation code, layout definitions, timelines, sound effects, and usage instructions. Users download these templates and provide them to an AI coding assistant (like Claude Code, Cursor, or GitHub Copilot). The AI reads the template, processes the user's provided script or source material, and executes the necessary commands to generate a video preview, an MP4 file, and an editable project file.

Who it’s for

It is designed for content creators, educators, and technical communicators who want to produce professional-looking, consistent video content without manually animating every frame in traditional editing software.

Highlights

• Standardized Format: Uses the .motion file format to bundle animation logic, assets, and instructions into a single file for AI consumption.
• Agent-Driven Workflow: Designed to be executed by AI coding assistants, which handle the technical setup, asset integration, and rendering process.
• Reusable Styles: Offers multiple visual styles—from modern text-based layouts to 3D-style tech consoles—that can be reused for consistent series branding.
• Editable Output: Generates both final MP4 videos and editable project files, allowing for post-generation adjustments to pacing, text, or assets.