Hypit - Open-source AI video generation tool that automatically replicates viral videos

What is Hypit

Hypit is an open-source AI video generation tool. Its core idea is to give the Agent a viral video, and the Agent automatically breaks it down and replicates its complete workflow. The tool writes the video into a structured .svml file. Change one line of text, and the audio, visuals, and subtitles automatically stay in sync. Hypit supports swapping hosts, content, and languages, producing hundreds of variants in batches with a single command.

Hypit's main features

• Full-video cloning: The Agent automatically breaks down its shots, pacing, subtitles, and effects, and rebuilds them into a reusable complete workflow.
• Text-driven editing: The video is written as a structured .svml file. Change one line of dialogue, and the voice, subtitles, and animations automatically stay in sync.
• Dialogue anchoring: All assets are bound to dialogue rather than the timeline. Delete a segment of dialogue, and the voice, subtitles, and animations attached under it are automatically removed as well.
• Batch variants: Swap hosts, products, and languages within the same structure, producing 10/50/100+ differentiated videos with a single command.
• Zero-cost rendering: Pure code rendering of visuals can avoid calling any model, making the cost per video as low as $0.
• Pluggable models: Speech synthesis, video generation, image generation, and visual understanding are all replaceable modules. Seedance, Kling, MiniMax, etc. can be switched freely, with no vendor lock-in.
• Callable by any Agent: One npx skills add hypit-ai/hypit -g installs the Skill, so it can be used directly in Claude Code, Codex, Doubao, and other Agents.
• Multilingual localization: The same video can output versions in ten languages. Change one line of text, and the timing is automatically realigned.
• Start from templates: Built-in mature templates such as podcasts, street interviews, conversations, and video calls. Pure text descriptions are supported to let the Agent create from scratch.

Follow WeChat and reply "open source" to join theAI open-source project community group

How to use Hypit

• Environment preparation: Make sure Node.js and pnpm are installed on your machine.
• Install Skill: Run npx skills add hypit-ai/hypit -gin the terminal to install the Hypit skill globally with one command.
• Open Agent: Launch Claude Code, Codex, or any compatible coding Agent, and enter your video project directory.
• Issue instructions: Enter /hypit Clone this video: /path/to/video.mp4 to clone a reference video, or directly describe your needs, such as /hypit 帮我做一条把 Hypit 排在 S 级的榜单视频。
• Configure keys: The Agent automatically checks the environment and prompts you to fill in the API Key for the required model.
• Generate assets: The Agent calls models to generate assets such as A-roll footage, B-roll, and character portraits in batches.
• Compile and render: The Agent writes assets into the .svml file and calls the rendering pipeline. 64 headless Chromium processes synthesize the final video in parallel.
• Preview and modify: Open the Studio workbench. Edit the source on the left and preview in real time on the right. Changing the text changes the video.
• Batch output: After confirming the result, have the Agent rerun in batches with different hosts, content, and languages, producing hundreds of variants at once.

Hypit's Core Advantages

• Script-anchored: editing text is editing the video: All assets are bound to the script. Change one line and the voiceover, subtitles, and animations automatically sync and adjust, completely solving the pain points of audio-video desync and manual alignment.
• Designed native for Agents: .svml is structured text, and reading and writing text is exactly what Agents do best—no need to extract frames, convert subtitles, or run visual recognition.
• Build once, reuse a hundred times: The same workflow can swap hosts, products, and languages to batch-produce 100+ variants. The cost of the second video approaches zero, naturally suited to ad testing and matrix account scenarios.
• Zero-cost baseline: Purely code-rendered videos can avoid calling any model at all, bringing the cost of a video down to $0. Pay only when AI assets are needed.
• Open, not locked in: The model layer is pluggable and supports BYOK; the framework can be forked and self-deployed. When the model upgrades a generation, output quality automatically rises a notch—no need to switch tools.
• Strong ecosystem compatibility: After installing the Skill with one command, any Agent such as Claude Code, Codex, or Doubao can call it directly, without locking into a single platform.

Hypit's Project Address

• Project Website：https://hypit.ai/
• GitHub Repository：https://github.com/hypit-ai/hypit

Hypit's Comparison with Similar Competitors

Hypit's Application Scenarios

• Paid Ad Placement: Clone high-performing assets from the Meta Ad Library, swap products and hooks, and produce 50 opening variants in a day for product testing. After asset fatigue, only the opening needs to be rerun.
• TikTok Shop / Affiliate Sales: Fix one high-converting video structure, and each day only swap the SKU, price, and CTA voiceover to batch-produce short sales videos.
• Podcast/Interview Clips: Automatic splitting of podcast and street interview content into segments, automatic split-screen layout, speaker subtitles, reaction stickers, and multi-platform distribution.
• Content Matrix and Multilingual Going Global: The same workflow can swap anchor personas and languages (one video produced in ten language versions), enabling batch operation of matrix accounts and localized distribution.
• Article/WeChat Official Account to Video: Text content is automatically paired with MG animation, subtitles, and B-roll to generate a talking-head video. After publishing an article, a companion video can be produced right away, and it can be done even with zero editing experience.