Hyperframes is an open-source framework for rendering video compositions directly from HTML, designed with AI agents as a primary user. It enables users to create, preview, and render HTML-based videos, offering a streamlined workflow for AI-driven content generation and automated video pipelines. The primary benefit is the ability to leverage familiar web technologies and AI assistants for video production.

How It Works

Hyperframes defines video compositions as standard HTML files augmented with data attributes, eliminating the need for proprietary Domain-Specific Languages (DSLs) or complex frameworks like React. Its "AI-first" design means it integrates seamlessly with AI coding agents, which can be taught framework-specific patterns via provided skills. The core rendering engine uses a "Frame Adapter" pattern, allowing flexibility to incorporate various animation runtimes such as GSAP, Lottie, CSS, or Three.js. This approach ensures deterministic rendering, guaranteeing identical output for identical inputs, which is crucial for automated pipelines.

Quick Start & Requirements

To integrate with an AI agent, install skills via npx skills add heygen-com/hyperframes. For manual project setup, use npx hyperframes init my-video, followed by cd my-video and npx hyperframes preview for live browser preview or npx hyperframes render for MP4 output.

• Prerequisites: Node.js >= 22, FFmpeg.
• Documentation: Full documentation, quickstart guides, API reference, and component catalog are available at hyperframes.heygen.com.

Highlighted Details

• AI Agent Integration: Ships with skills that teach AI agents (e.g., Claude Code, Cursor, Gemini CLI) to author HTML compositions, animations, and manage CLI commands.
• Extensive Component Catalog: Offers over 50 pre-built components and blocks, including social media overlays, shader transitions, and data visualizations, accessible via hyperframes.heygen.com/catalog.
• HTML-Native Compositions: Leverages standard HTML and data attributes for defining video elements and animations.
• Deterministic Rendering: Ensures consistent and reproducible video output from the same source.

Maintenance & Community

No specific details regarding maintainers, sponsorships, or community channels (like Discord/Slack) were found in the provided README.

Licensing & Compatibility

The project is licensed under the Apache 2.0 license. This license generally permits commercial use and integration into closed-source projects, with standard attribution and notice requirements.

Limitations & Caveats

The framework is explicitly "built for agents" and adopts an "AI-first" philosophy, suggesting that workflows heavily reliant on manual, intricate video editing without AI assistance might require adaptation. The primary rendering engine relies on Puppeteer and FFmpeg, which may have platform-specific considerations.