An agent, powered by Anthropic's Claude Opus 5.5, has been developed to create explainer videos automatically. The process involves providing a URL or a prompt, which the agent then converts into a finished MP4 video without requiring any manual edits.
The agent operates on OpenComputer's serverless platform. The entire product consists of a single agent file, three tools, and a web form. OpenComputer manages the agent, the microVM for rendering, the model gateway, and the session API.
Each video generation job runs in a fresh microVM, specifically Amazon Linux 2023 on arm64 with 4 vCPU and 8 GB RAM. This setup ensures a clean and isolated environment for each task.
The agent uses Claude Opus 5.5 through OpenComputer's model gateway, processing approximately 90k input and 15k output tokens per video. Key tools include `web_fetch` for retrieving page content, `check_scene` for loading and reporting on the video's HTML, and `render_video` for the final output.
Video rendering does not use a video model. Instead, the page's timing mechanisms are replaced with a virtual clock, ensuring deterministic frame generation. Videos are rendered at 1920x1080 resolution at 30 frames per second, with JPEG frames piped into libx264.
The agent does not store sensitive information. A Vercel Blob upload token, scoped for a single path and three hours, is minted for each job. The finished MP4 is stored as a public Blob URL. The control plane uses the same API as the CLI, allowing for session creation, task submission, and progress monitoring.
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An agent utilizing Anthropic's Claude Opus 5.5 model, running on OpenComputer's serverless platform, generates explainer videos from a URL or prompt. This system automates video creation without manual editing, demonstrating a specific application of large language models in content generation.