LibreAI / Video / FireRed-OpenStoryline
// video · FireRedTeam/FireRed-OpenStoryline

FireRed-OpenStoryline

FireRed-OpenStoryline ist ein Open-Source-Projekt aus der Kategorie Video von FireRedTeam (FireRedTeam/FireRed-OpenStoryline auf GitHub). Es hat 3.470 Sterne auf GitHub und 405 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 31. Juli 2026 auf GitHub aktualisiert.

An AI video editing agent — describe the story, and it plans and cuts the video for you.

★ 3,5 Tsd. Sterne⑂ 405 ForksApache-2.0aktualisiert Jul 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten

Projektdaten

GitHub-Sterne
3.470
Forks
405
Lizenz
Apache-2.0
Zuletzt auf GitHub aktualisiert
31. Juli 2026
Kategorie
Video
Eintragstyp
Vollständige Installationsanleitung
// so funktioniert es

So funktioniert es

  1. Clarify your goal

    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.

  2. Get the project

    Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.

  3. Install and configure

    Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.

  4. Run your first task

    Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.

// funktionen

Warum es so beliebt ist

Smart media search and organisation

Automatically searches online and downloads matching images/clips, then segments and understands your thematic media.

Intelligent script generation

Builds storylines and context-aware narration from your theme, visual understanding and emotion recognition, with few-shot style transfer.

Reusable Style Skills

Define a copy/editing style once (product reviews, casual vlogs and more) and reuse it across videos.

Human-in-the-loop creation

Transparent, reviewable steps instead of a black-box render.

Agent-native distribution

Installable as skills for OpenClaw, Claude Code, Codex and other compatible agents, or run standalone.

Docker deployment

Official images on Docker Hub and Alibaba Cloud registry for a containerised start.

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// selbst ausführen

Führe es selbst aus

  1. Clone the repository

    Get the source so you can inspect, configure and run it locally.

    git clone https://github.com/FireRedTeam/FireRed-OpenStoryline.git
    cd FireRed-OpenStoryline
  2. Install the dependencies

    Clone, 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 & installation
  3. Start the MCP server and UI

    Launch 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 8005
// anwendungsfälle

Was du damit bauen kannst

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// häufige fragen

Häufige Fragen

Who maintains FireRed-OpenStoryline?

It is maintained by FireRedTeam on GitHub (FireRedTeam/FireRed-OpenStoryline), where the source, issues and releases live.

Is it free to use?

Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.

Does it need a paid API key?

Yes — planning and understanding use LLM/media services, and the README documents API-key configuration for the providers you choose.

How does it compare to manual editing in Premiere or CapCut alone?

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.

How do I get started?

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.

// weiter entdecken

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// alternativen

Alternativen im Bereich Video

Die anderen Projekte der Kategorie Video mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls FireRed-OpenStoryline nicht das Richtige ist.

// mehr in video

Mehr in Video

Verwandte Projekte der Kategorie Video im Katalog, die FireRed-OpenStoryline bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.

Hol dir FireRed-OpenStoryline

Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.