[opensourcedex]

FireRed-OpenStoryline is a free, open source ai interaction & interfaces project written in Python and released under Apache-2.0. It has 3,422 GitHub stars, 401 forks and 30 open issues, and was last pushed 2 months ago. On this registry it ranks #67 of 113 tracked projects in AI Interaction & Interfaces, with 5 head-to-head comparisons available.

openstoryline/> openstoryline/>

🇨🇳 简体中文 | 🌏 English

Hugging Face ModelScope Demo Python License xiaohongshu Featured｜HelloGitHub

🤗 HuggingFace Demo • 🌐 Homepage

FireRed-OpenStoryline turns complex video creation into natural, intuitive conversations. Designed with both accessibility and enterprise-grade reliability in mind, FireRed-OpenStoryline makes video creation easy and friendly to beginners and creative enthusiasts alike.

Deriving from the saying "A single spark can start a prairie fire", the name FireRed represents our vision: to spread our SOTA capabilities—honed in real-world scenarios—like sparks across the wilderness, igniting the imagination of developers worldwide to reshape the future of AI together.

✨ Key Features

  • 🌐 Smart Media Search & Organization: Automatically searches online and downloads images and video clips that match your requirements. Performs clip segmentation and content understanding based on your thematic media.
  • ✍️ Intelligent Script Generation: Combines user themes, visual understanding, and emotion recognition to automatically construct storylines and context-aware narration. Features built-in Few-shot style transfer capabilities, allowing users to define specific copy styles (e.g., product reviews, casual vlogs) via reference text, achieving precise replication of tone, rhythm, and sentence structure.
  • 🎵 Intelligent Music, Voiceover & Font Recommendations: Supports personal playlist imports and auto-recommends BGM based on content and mood, featuring smart beat-syncing. Simply describe the desired tone—e.g., "Restrained," "Emotional," or "Documentary-style"—and the system matches suitable voiceovers and fonts to ensure a cohesive aesthetic.
  • 💬 Conversational Refinement: Rapidly cut, swap, or resequence clips. Edit scripts and fine-tune visual details—including color, font, stroke, and position. All edits are performed exclusively via natural language prompts with immediate results.
  • ⚡Editing Skill Archiving: Save your complete editing workflow as a custom Skill. Simply swap the media and apply the corresponding Skill to instantly replicate the style, enabling efficient batch creation.

NEWS

  • 🎬 2026-04-02: Added the AI Transition Generation feature, which automatically creates transition shots based on the ending frame of one clip, the opening frame of the next, and a natural-language description, making scene transitions smoother and the narrative more coherent.
  • 🚀 2026-03-22: Introduced an ASR-based rough cut skill for speech videos, enabling automatic removal of filler words, disfluencies, and repeated sentences, with timestamp-aligned segmentation for cleaner and more efficient speech editing workflows.
  • 🔥 2026-03-12: Integrated with OpenClaw, adding two OpenClaw Skills — openstoryline-install and openstoryline-use — covering the initial installation/first-run workflow and the actual usage workflow, respectively. Also added Skill usage instructions for Claude Code, making it easier for Claude Code to install and invoke the project in accordance with the repository guidelines.
  • 2026-02-10: FireRed-OpenStoryline was officially open-sourced.
⚠️ Note: AI transitions rely on third-party AIGC video generation services, and the cost is relatively high. Due to variations in source material quality, prompts, and model performance, the generated results are somewhat unpredictable. It is recommended to enable this feature only when needed.

🏗️ Architecture

openstoryline architecture

✨ Demo

Zhongcao Style Humorous Style Product Picks Artistic Style
Unboxing Talking Pet Travel Vlog Year-in-Review
🎨 Effects Note: Due to licensing restrictions on open-source assets, the elements (fonts/music) in the first row represent only basic effects. We highly recommend following the Custom Asset Library Tutorial to unlock commercial-grade fonts, music, and VFX for significantly better video quality.
⚠️ Quality Note: To save space in the README, the demo videos are heavily compressed. The actual output retains the original resolution by default and supports custom dimensions.
In the Demo: The first row shows default open-source assets (Restricted Mode); the second row shows Xiaohongshu App "AI Clip" asset library effects. 👉 Click to view tutorial
⚖️ Disclaimer: User footage and brand logos shown in the demos are for technical demonstration purposes only. Ownership belongs to the original creators. Please contact us for copyright concerns.

🤖 Use Through an Agent

FireRed-OpenStoryline supports usage through Agent Skills. We provide two Skills:

OpenClaw

Just tell OpenClaw: “I want to try OpenStoryline. Help me install the required Skills,” and it will automatically trigger the installation. If the insta

readme truncated — read the full docs on github

Frequently asked questions

Is FireRed-OpenStoryline free to use?

FireRed-OpenStoryline is open source under the Apache-2.0 licence. There is no licence fee and no seat count — you can self-host it or, where the project offers one, pay a vendor for a managed version instead.

What does FireRed-OpenStoryline do?

FireRed-OpenStoryline is an AI video editing agent that transforms manual editing into intention-driven directing through natural language interaction, LLM-powe

What is FireRed-OpenStoryline written in?

FireRed-OpenStoryline is primarily written in Python. Its source is publicly available at https://github.com/FireRedTeam/FireRed-OpenStoryline, and it has 3,422 GitHub stars.