Aurora

by yeates · Agent Tool · ★ 59

About Aurora

Aurora Unified Video Editing with a Tool-Using Agent Aurora is an agentic video-editing framework. Given a source video and a natural language request, a tool-using vision-language agent first resolves ambiguity: it rewrites the request into an editor-facing instruction, decides the edit type, optionally retrieves a reference image from the web, and optionally grounds a target object with a mask. A unified video diffusion editor then performs the actual edit. The editor uses a WAN2.2-TI2V-5B diffusion transformer, a WAN2.2 VAE, and a frozen Qwen3.5-4B multimodal LLM.

Quick Facts

Stars59
Forks2
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score50.7285829893472/100
Open Issues2
Last Updated2026-06-16
Created2026-05-18
Platformspython
Est. Tokens~13k

Compatible Skills

These tools work well together with Aurora for enhanced workflows:

  • mcp-video — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (63%)
  • video-recap — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)

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Frequently Asked Questions

What is Aurora?

Aurora is Aurora: Unified Video Editing with a Tool-Using Agent. It is categorized as a Agent Tool with 59 GitHub stars.

What programming language is Aurora written in?

Aurora is primarily written in Python.

How do I install or use Aurora?

You can find installation instructions and usage details in the Aurora GitHub repository at github.com/yeates/Aurora. The project has 59 stars and 2 forks, indicating an active community.

What license does Aurora use?

Aurora is released under the MIT license, making it free to use and modify according to the license terms.

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