# FireRedTeam/FireRed-OpenStoryline

FireRed-OpenStoryline is an AI video editing agent that transforms manual editing into intention-driven directing through natural language interaction, LLM-powered planning, and precise tool orchestration. It facilitates transparent, human-in-the-loop creation with reusable Style Skills for consistent, professional storytelling.

Repository: https://github.com/FireRedTeam/FireRed-OpenStoryline
Canonical: https://ross.abutalabs.com/products/firered-openstoryline
Language: Python
License: Apache-2.0
License Family: permissive
Topics: agent, video-cut, skills, chatbot, video, video-editing, video-editing-tools, langchain, mcp
Last push: 2026-07-31T03:16:31+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 14
- inputs: {"age_days": 207, "days_push": 33, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3310, forks 392 (observed 2026-08-28T04:07:55.942527+00:00)

## What it is
FireRed-OpenStoryline is an AI video editing agent that converts natural language instructions into directed video edits via LLM planning and tool orchestration. It supports human-in-the-loop creation, automatic media search and segmentation, script generation, and reusable Style Skills for consistent storytelling.

## Use cases
- edit videos by describing changes in natural language
- automatically find and download stock media for a theme
- generate video scripts from a topic
- cut and segment footage with AI assistance
- apply a consistent editing style across projects
- build a chat-based video production workflow

## When to choose
- you want conversational, intention-driven video editing instead of manual timeline work
- you need an agent that plans edits and orchestrates video tools automatically
- you want reusable style presets for consistent storytelling
- you prefer a self-hosted, Apache-2.0 Python project with MCP/LangChain integration

## When to avoid
- you need frame-accurate manual control of a professional NLE like Premiere or DaVinci
- you only want lightweight trimming without LLM overhead
- you cannot run LLM-backed services or lack API access
- you need offline editing with no AI dependency

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, video-processing, llm-inference, chatbot, mcp
- domain: artificial-intelligence, media
- platform: python, self-hosted
- tags: video-editing, ai-agent, natural-language-editing, human-in-the-loop, style-skills, langchain, script-generation, media-search, video, ai-agents, automation, web-server, docker

## Member repositories
- FireRedTeam/FireRed-OpenStoryline (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:55.942527+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:42:24.908003+00:00, confidence not recorded.
  - readme: https://github.com/FireRedTeam/FireRed-OpenStoryline (fetched 2026-08-28T04:07:55.942527+00:00, sha 54c66a3974f6)
- Data as of 2026-08-30T08:39:29.467469+00:00.