ArcReel/ArcReel
AI Agent 驱动的开源可自部署视频工作台：将小说与剧本转为角色、场景、道具资产、分镜、视频和剪映草稿，支持跨镜头一致性、多供应商与费用追踪 | Self-hosted AI video workspace for stories, storyboards and short-form video production observed · 2026-08-28
Health v2 · maintenance only
82/100
- Activity 99
- Release rhythm 99
- Longevity 14
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 2
- age_days: 207
- days_rel: 9
- days_push: 7
- n_releases_24m: 56
Adoption not part of the score
4211 stars · 846 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
ArcReel is an open-source, self-hosted AI video production workspace that turns novels, scripts, or product material into characters, scenes, props, storyboards, video clips, and final cuts. It uses an agent-orchestrated pipeline with cross-shot visual consistency, multi-provider model support, cost tracking, version rollback, and export to CapCut drafts or FFmpeg-composited video.
Use cases
- convert a novel into a short drama video
- generate storyboards with consistent characters across shots
- turn a script into an animated short video
- produce narrated explainer or ad short videos with AI
- export AI-generated video as a CapCut draft for manual editing
- track API costs across multiple video generation providers
- self-host an AI video generation pipeline with Docker
When to choose
- you want an end-to-end novel/script-to-video pipeline with character and scene consistency
- you need self-hosted control, multi-provider model routing, and cost tracking
- you want CapCut draft export or FFmpeg auto-composition for finishing
- you produce serialized short dramas, manga-style videos, or ad clips regularly
When to avoid
- you need a simple one-click video generator without setup or API keys
- you cannot accept third-party API costs for text, image, video, and TTS generation
- you need multi-user isolation on a shared instance
- you require a permissive license for closed-source commercial use (AGPL-3.0)
Facets
application · maturity active
agent-framework video-processing image-processing llm-inference tts workflow-automation self-hosted artificial-intelligence media self-hosted windows python ai-video-generation storyboard novel-to-video script-to-video capcut-draft-export character-consistency multi-provider cost-tracking short-drama ffmpeg video ai-agents content-creation docker linux macos web-server
3 sources
- readme: https://github.com/ArcReel/ArcReel · fetched 2026-08-28 · 61dc400630ed
- homepage: https://arc-reel.com · fetched 2026-08-29 · e460d4bc4c91
- site_page: https://docs.arc-reel.com/guide/getting-started · fetched 2026-08-29 · 0ca998058ab1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ArcReel/ArcReel | main | 82 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem