AI Youtube Shorts Generator
Open-source alternative to Opus Clip, Vidyo.ai, Klap & SubMagic. Turn long-form YouTube videos into viral 9:16 shorts using LLM…
kinocut est un projet de clips courts open source, créé par KyaniteLabs (KyaniteLabs/kinocut sur GitHub). Il compte 184 étoiles sur GitHub et 42 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
MCP video-editing server that lets AI agents cut video safely and locally.
Add it to your agent with npx skills or by copying the skill folder.
Claude Code, Cursor, Codex, or OpenClaw picks it up automatically.
Describe what you want in plain language and let the agent run the playbook.
Check the output, tweak the skill files, and make it yours.
Drops into Claude Code, Cursor, Codex, and OpenClaw with zero glue.
Your AI does not just read advice — it runs real, tested workflows.
Add it via npx skills or copy the folder into your project.
Packaged expertise for one specific job, refined by practice.
Stack skills together into bigger automated pipelines.
Edit the prompts and scripts to match how you actually work.
Download the source and move into the project folder.
git clone https://github.com/KyaniteLabs/kinocut.git
cd kinocutEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandA packaged playbook — prompts, scripts, and references — that an AI coding agent can load and execute, turning advice into action.
Anything that reads SKILL.md: Claude Code, Cursor, Codex, OpenClaw, and similar agent harnesses.
Usually one command — npx skills add — or by copying the skill directory into your project.
Apache 2.0 licensed — commercial use is allowed with attribution.
Last pushed 2026-10-03 with 42 forks. Check the commit history before depending on it.
Open-source alternative to Opus Clip, Vidyo.ai, Klap & SubMagic. Turn long-form YouTube videos into viral 9:16 shorts using LLM…
AutoClip|一个链接,一键出片。开源 AI 视频剪辑桌面工具,将播客、访谈、课程等长视频自动剪成短视频,生成字幕、封面和发布文案,适配抖音、小红书、TikTok、Reels 与 YouTube Shorts。Open-source AI video clipping & content repurposing.
一键生成产品营销与泛内容短视频,AI批量自动剪辑,高颜值跨平台桌面端工具 One click generation of product marketing and general content short videos, AI batch automatic…
Auto-Editor — effort-free first-pass video editing from the command line: automatically cut silence and dead space by audio loudness and motion, Unlicense (public domain)
Zero-dependency browser video editor that AI agents can drive — JSON timeline, MCP + REST, live-reloading UI
CLI scheduler that lets AI agents post to every major social platform.
Les autres projets de la catégorie Clips courts avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si kinocut ne vous convient pas.
WhisperX — Whisper transcription with word-level timestamps and speaker diarization: 70x realtime batched inference, forced phoneme alignment, BSD-2-Clause
Toonflow 是开源 AI 创作平台,融合无限画布、AI Agent 与可视化工作流,支持图像生成、视频生成、智能分镜及短剧创作。支持本地部署、自由接入模型,提供跨平台桌面端,并可通过 MCP 与插件扩展创作能力。Open-source AI creative…
🚀 Truly open-source AI avatar(digital human) toolkit for offline video generation and digital human cloning
macOS video editor built for AI
MoneyPrinter — automate YouTube Shorts from a single topic: local Ollama writes the script and metadata, stock footage and voiceover are assembled into a finished short, MIT
Projets de la catégorie Clips courts proches dans le catalogue, les plus proches en étoiles de kinocut — continuez à explorer de part et d'autre.
Gameplay-focused clipper with GPU rendering and AI scene analysis.
Local-first clipper: Whisper plus Ollama turn long video into captioned 9:16 clips.
Open-source OpusClip rival that generates YouTube Shorts for free, unlimited.
Terminal-first AI studio for creating content without leaving the CLI.
Faceless Shorts factory: trending topics to finished videos, fully automated.
Open clipping platform that turns long videos into social-ready shorts.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.