bilibili

bilibili / carocut

Public

Multi-Agent 的视频制作助手，基于 OpenCode AI SDK 和 Remotion 构建。

ai-agent ai-tools ai-video-editor multi-agent-systems video-editor
17
0
100% credibility
Found Mar 22, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

CaroCut is an AI platform that transforms text, images, or PDFs into professional videos through collaborative agents and programmatic rendering.

How It Works

1
🚀 Launch CaroCut

Download and start your personal video maker right on your computer.

2
📁 Start a new project

Create a blank canvas for your video story.

3
📤 Add your ideas

Upload text, pictures, or PDFs that spark your video vision.

4
✨ Command 'make video'

Type a simple instruction and watch smart helpers turn ideas into motion.

5
👀 Preview the magic

See your video preview live in the studio with smooth playback.

🎥 Download your film

Save the polished professional video ready to share anywhere.

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Star Growth

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AI-Generated Review

What is carocut?

CaroCut is a TypeScript multi-agent video production assistant that transforms raw inputs like PDFs, text, and images into professional videos via a chat interface. Powered by OpenCode AI SDK for multi-agent orchestration and Remotion for React-based rendering, it runs a 10-step workflow: agents analyze materials, plan scripts, source media, build Remotion projects, and output final renders with resumable checkpoints. Upload files, type "/carocut" to kick off opencode multi agent workflows, and preview artifacts like audio clips or videos in real-time.

Why is it gaining traction?

It stands out as a claude multi agent github alternative focused on end-to-end video automation, unlike langgraph multi agent github tools that require manual graph setup. Developers dig the seamless Remotion integration for live studio previews and editable outputs, plus OpenCode's tool-calling for tasks like TTS, image search, and PDF decomposition. The resumable progress.yaml and per-session workspaces make iteration painless in multi agent system github experiments.

Who should use this?

Video creators on Bilibili producing paper explainers or tech talks from PDFs. Frontend devs prototyping carocut bread slicer-style automated content pipelines with Remotion. Teams exploring multi agent opencode setup for media workflows, skipping manual video editing.

Verdict

Promising early multi-agent platform github for Remotion video gen, with strong docs and MIT license, but only 17 stars and 1.0% credibility score signal prototype status—test locally, expect setup quirks on macOS/Linux, and fork to stabilize.

(198 words)

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