Vidéo
Orkas-VideoStudio
Make your coding agent a video studio — describe it, get an MP4.
★ 497 étoilesMIT
Voir le guide →FireRed-OpenStoryline est un projet de vidéo open source, créé par FireRedTeam (FireRedTeam/FireRed-OpenStoryline sur GitHub). Il compte 3 470 étoiles sur GitHub et 405 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 31 juillet 2026.
An AI video editing agent — describe the story, and it plans and cuts the video for you.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Automatically searches online and downloads matching images/clips, then segments and understands your thematic media.
Builds storylines and context-aware narration from your theme, visual understanding and emotion recognition, with few-shot style transfer.
Define a copy/editing style once (product reviews, casual vlogs and more) and reuse it across videos.
Transparent, reviewable steps instead of a black-box render.
Installable as skills for OpenClaw, Claude Code, Codex and other compatible agents, or run standalone.
Official images on Docker Hub and Alibaba Cloud registry for a containerised start.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/FireRedTeam/FireRed-OpenStoryline.git
cd FireRed-OpenStorylineClone, create a Python 3.11+ virtual environment and run the automatic installer (Linux/macOS) as the README describes.
git clone https://github.com/FireRedTeam/FireRed-OpenStoryline.git
cd FireRed-OpenStoryline # then follow README section 3: resource download & installationLaunch the server, then the CLI or the web interface on port 8005.
PYTHONPATH=src python -m open_storyline.mcp.server
uvicorn agent_fastapi:app --host 127.0.0.1 --port 8005It is maintained by FireRedTeam on GitHub (FireRedTeam/FireRed-OpenStoryline), where the source, issues and releases live.
Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.
Yes — planning and understanding use LLM/media services, and the README documents API-key configuration for the providers you choose.
Compared with manual editing in Premiere or CapCut alone, FireRed-OpenStoryline's distinguishing focus is: an AI video editing agent — describe the story, and it plans and cuts the video for you. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/FireRedTeam/FireRed-OpenStoryline (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
Make your coding agent a video studio — describe it, get an MP4.
Agent skill that cuts talking-head videos into styled card videos.
An AI video workbench your coding agent directs — storyboard to render over MCP.
HeyGen agent skills — avatar creation and video production pipelines.
Feed it a short story and it produces an abstract animated short in the style
Open-source AI workspace for creators, powered by Codex: video, image, voice, avatars and editing.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.