nexu-io/html-video

Programmatic video for coding agents — HTML to video on your laptop. Turn HTML, CSS & data into real MP4s with pluggable render engines, 21 templates, AI...

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Summary Information

Updated 17 minutes ago
Added to GitGenius on September 15th, 2026
Created on May 27th, 2026
Open Issues & Pull Requests: 53 (+0)
GitHub issues: Enabled
Number of forks: 564
Total Stargazers: 4,583 (+0)
Total Subscribers: 22 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 3.5 hours
90th percentile: 0.2 hours
Tracked items: 38

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 1% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 30
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 86 days
Stale 30+ days: 22
Stale 90+ days: 7

Recent activity

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

Top labels

  • bug (19)
  • help wanted (19)
  • enhancement (9)
  • good first issue (7)
  • type/feature (3)
  • documentation (2)
  • duplicate (1)
  • type/bugfix (1)

Detailed Description

html-video is a programmatic video generation tool that converts HTML, CSS, and data into MP4 files on your local machine.

The tool solves the problem of creating videos programmatically for coding agents and automation workflows. It works by accepting HTML templates and content sources—whether from direct prompts, article links, or GitHub repositories—and rendering them to video files. The approach integrates with multiple AI coding agents and uses pluggable rendering engines to handle the conversion from web content to MP4 output. Optional AI-generated soundtracks and narration can be added to the final video.

The tool suits developers building video generation into agent workflows, content automation pipelines, or applications that need to produce videos from structured data without external API dependencies. It offers a curated gallery of templates covering common video formats, and it runs entirely on your machine with no per-render fees or vendor lock-in. The project supports multiple coding agent backends, allowing you to choose your preferred AI assistant for content generation.

Development activity shows consistent engagement with the codebase, with regular commits addressing both features and maintenance. The project maintains active communication with its community through documented channels and social presence. Code contributions demonstrate attention to expanding agent compatibility and template coverage. The maintainers actively respond to issues and incorporate feedback into the tool's evolution.