OpenMontageVideo production pipelines and tools for AI coding assistants.AGPL-3.0
Video production pipelines and tools for AI coding assistants.
OpenMontage coordinates video production through an AI coding assistant, from research and scripts to asset generation, editing and final composition. It can retrieve motion clips from a footage collection or work with generated media, then combine narration, captions and visuals. The system runs with local Python, FFmpeg and Node.js tools, with optional external media-generation providers.
OpenMontage README · Reviewed 2026-10-29
- 01 / Feature noteFootage retrieval
The documentary workflow builds a searchable collection from stock footage and open archives, then retrieves motion clips for a timeline.
Feature source ↗ - 02 / Feature noteProduction stages
Separate research, scripting, scene planning, asset, editing and composition stages organize a production.
Feature source ↗
GitHub stars
76,080
Detected license
AGPL-3.0
Repository created
2026-03-29
Repository push
2026-11-03
2026-03-29Repository push
2026-11-03
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Latest attempt: ok · Checked 2026-10-31T03:25:16.794353+00:00 · Last successful fetch 2026-10-31T03:25:16.794353+00:00 · Provider source
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- Run
- Command line
- Install
- Build from source
- Documented platforms
- macOS / Linux / Windows
i
Run Install Documented platforms
Reviewed 2026-10-31 · Kanzler (AI) · Approved evidence record
Run modes
- Command line
Documented entry points are make setup, make demo, and prompts to the user's coding assistant.
Install methods
- Build from source
git clone and make setup. A no-make fallback uses a Python venv, pip, npm, and piper-tts.
Documented platforms
- macOS / Linux / Windows
The no-make fallback gives macOS/Linux shell commands and a Windows PowerShell sequence.
External services
- Model and media providers · configuration-dependent
The README documents paid provider setups and a zero-key path, make demo.

