HyperFrames & AI Video Editing

HyperFrames is an open-source video framework (a code-based tool for building videos) created by HeyGen, an AI video company that hit $100 million in annual revenue by late 2025. It went open source on April 17, 2026. The core idea is that AI agents (autonomous programs that complete tasks) can write video content as plain HTML—no coding skills required from you. You simply tell the agent what you want, and it writes regular HTML, CSS, and JavaScript. HyperFrames then converts that into standard video formats like MP4 or MOV.

The key technical addition is a thin layer: three HTML data attributes—data-start, data-duration, and data-track-index. Add those to any HTML element, and you have a video timeline. This matters because traditional editing tools like Premiere or After Effects rely on JSON or XML timelines built for human muscle memory. HTML is an AI’s native language, making HyperFrames a natural fit for prompt-driven workflows.

This matters for AI development because it solves a longstanding pain point: AI could write, talk, and code, but editing video autonomously remained out of reach. HyperFrames bridges that gap. For example, you can use an agent to create a 5-second intro by typing a command like “/hyperframes create a 5-second intro” after loading the framework’s skills. Unlike its competitor Remotion, which uses React and has paid tiers for larger teams, HyperFrames is free, agent-first, and runs on a single machine in 2026. It represents a shift from human-edited keyframes to AI-generated, HTML-based video creation.

HyperFrames is a motion graphics (animated text and graphics) tool built for AI agents (AI that acts for you) to use without you writing code. Remotion is another option, but many creators prefer HyperFrames because it works better with AI. To start, you need a code agent like Claude Code or OpenAI's Codex CLI. Install it, then run one command: `npx skills@hagen.com/hyperframes`. This teaches your agent the HyperFrames patterns. Next, create a project by running `npx hyperframes init my video`. A picker will appear where you can choose a starter template like "Blank" or "Warm Grain." Six files appear.

Now, open the project with your agent by typing `cd my video` then `claude`. Tell the agent what you want. For example, say "/hyperframes create a 5-second intro." The agent writes the HTML for the animation and renders it. This replaces manual keyframe (point-by-point animation) editing. In a full video pipeline, you first trim your raw footage, then apply motion graphics with Hyperframes synced to exactly when you speak. The agent handles trimming, animating, and rendering without you touching anything. The final output is an MP4 file ready to use.

When editing video with AI, you have two main options for adding motion graphics (animated text and effects): Remotion and Hyperframes. Both are open-source tools that let you describe edits in plain language, and you don’t need coding skills to use either. Remotion uses React (a JavaScript library for building user interfaces) to turn video into components—you write video as JSX and TypeScript, with hooks like `useCurrentFrame`. Hyperframes, built by the AI video company HeyGen, uses plain HTML—no build step or React required. The difference is philosophical: Remotion bets on developer tools, while Hyperframes is built explicitly for AI agents to operate autonomously.

A common pitfall is skipping the trim step before adding motion graphics. You must trim your raw footage first, then sync animations to the exact moments you speak. Hyperframes works well with HTML, making it feel more sophisticated and engaging for beginners. Another mistake is assuming both tools work the same under the hood—they don’t, but the flow for both is trim, animate, then render. AI agents can automate this entire pipeline: drop in a raw file, describe your desired graphics in natural language, and the tool outputs a finished video. For best practices, always check that motion graphics line up with your spoken words, and use Hyperframes if you prefer a simpler, agent-friendly approach without React. Avoid stopping a session mid-run if you’re generating a long edit—let the AI finish outputting tokens to prevent incomplete renders.