nexu-io/html-anything

✨ The agentic HTML editor — your local AI agent writes the HTML, you ship it. 🚀 75 Skills × 9 Surfaces (magazine · deck · poster · XHS / tweet · prototype...

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Summary Information

Updated 2 minutes ago
Added to GitGenius on September 1st, 2026
Created on May 11th, 2026
Open Issues & Pull Requests: 62 (+0)
GitHub issues: Enabled
Number of forks: 847
Total Stargazers: 8,692 (+0)
Total Subscribers: 38 (+0)

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Detailed Description

HTML Anything is an agentic HTML editor that lets local AI agents generate HTML from markdown input, which you can then publish directly.

The tool addresses the gap between draft formats and final output: markdown works well for drafting, but readers consume HTML. Rather than hand-editing HTML, you describe what you want in markdown and let an AI agent write the HTML. The editor runs locally without requiring API keys, auto-detecting coding agents already installed on your machine—Claude Code, Cursor Agent, Codex, Gemini CLI, GitHub Copilot CLI, OpenCode, Qwen Coder, Aider, or IBM Bob. It provides composable skill templates covering nine output surfaces: magazine articles, keynote decks, résumés, posters, Xiaohongshu cards, tweet cards, web prototypes, data reports, and Hyperframes videos. Output can be exported to WeChat, X, or Zhihu with one click, or downloaded as HTML or PNG files.

Choose this tool if you work with a supported coding agent and want to generate formatted HTML documents without manual editing or cloud API dependencies. It suits workflows where you're already using an agentic CLI for development and want to extend that agent to handle document generation. The local-first approach means your agent session handles both code and content generation in one environment.

The project maintains active development with regular skill template additions and agent support expansions. The team behind it also maintains a larger production-grade design system, indicating sustained engineering capacity. The codebase shows ongoing refinement of the agent integration layer and export pipeline. Development activity reflects a focus on expanding both the range of supported agents and the variety of output templates available to users.