HyperFrames Open-Source Framework Enables HTML-to-Video Rendering for AI Agents

HyperFrames is a free, open-source framework designed to turn HTML, CSS, media, and seekable animations into deterministic MP4 videos. According to the project documentation, the tool can be used locally via command-line interfaces, integrated with AI coding agents using specialized skills, or deployed as the rendering core for hosted authoring workflows.

Core Architecture and Features

The project operates on an HTML-native approach rather than requiring a proprietary timeline or specific component libraries like React. Key architectural elements include:

• HTML-Native Compositions: Videos are defined using plain HTML files with data attributes for timing and tracks, requiring no separate build step for basic playback.
• Deterministic Rendering: The rendering engine utilizes headless Chrome to seek each frame and encodes the output with FFmpeg, ensuring that identical inputs yield identical videos for continuous integration and automated pipelines.
• Flexible Animation Adapters: Developers can bring their own animation runtimes, including GSAP, CSS animations, Lottie, Three.js, Anime.js, the Web Animations API (WAAPI), or custom frame adapters.
• Open-Source Licensing: Released under an Apache 2.0 license with no per-render fees or commercial-use thresholds.

Integration with AI Coding Agents

HyperFrames provides built-in support for coding assistants such as Claude Code, Codex, Cursor, and the Gemini CLI. By installing specific skill sets via the command line, developers can instruct their coding agents to plan, write, lint, preview, and render video content automatically.

The framework ships with nine published skills, covering tasks ranging from general video creation to specific integrations like slideshows and layout translation. Standalone installations default to a core set of six skills, while additional components can be added on demand.

Studio App and Ecosystem

Alongside the open-source rendering engine, the platform offers the HyperFrames Studio application. While the core app is free to use, a Pro plan incorporates select video, image, voice, and music models from HeyGen.

The project also introduces `frame.md`, a design system translation layer intended to help web-context specifications adapt for video frames so AI agents can compose promotional materials without guessing element scales.

Verification and Resources

Developers can verify installation instructions, review adapter documentation, or explore community examples through the official GitHub repository (`heygen-com/hyperframes`) and the HyperFrames documentation portal (`hyperframes.heygen.com`).