Forget-C/Jellyfish

An end-to-end production workspace for AI-generated short dramas. From script input to structured storyboarding, consistency management, shot preparation,...

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Summary Information

Updated 47 minutes ago
Added to GitGenius on September 10th, 2026
Created on March 6th, 2026
Open Issues & Pull Requests: 6 (+0)
GitHub issues: Enabled
Number of forks: 1,104
Total Stargazers: 6,373 (+0)
Total Subscribers: 26 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.4 hours
Mean response time: 3.0 days
90th percentile: 4.0 days
Tracked items: 12

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 13% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 1
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 2

Top labels

  • stale (22)
  • bug (5)
  • enhancement (3)

Most active issues this week

Detailed Description

Jellyfish is an end-to-end production workspace for creating AI-generated short dramas.

The tool addresses the fragmentation of AI video production by integrating the entire workflow from script to final export. It takes a script as input and guides it through structured storyboarding, applies consistency management to maintain visual coherence across scenes, prepares shots with appropriate parameters, generates video using AI, and exports the final result. This integrated approach eliminates the need to manually coordinate between separate tools for each production stage.

Jellyfish suits creators and production teams working on short-form drama content who want a unified interface rather than piecing together multiple specialized services. It is particularly valuable for those prioritizing visual consistency across generated scenes, since the consistency management component addresses a common pain point in AI video generation where characters, settings, and styles can drift between shots.

The project shows active development with regular commits and ongoing refinement of its production pipeline. The codebase demonstrates attention to the practical requirements of video production workflows, with implementation of specialized components for storyboarding and consistency management rather than treating these as afterthoughts. Documentation is maintained alongside the code, indicating sustained effort to keep the project usable as it evolves.