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OpenMontage

calesthio/openmontage

Give a coding assistant a guided workflow for research, scripts, media, and video assembly.

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What is OpenMontage?

Prepared by LessAI Tools from public project documentation

OpenMontage provides skill files and Python tools for research, scripting, storyboards, media preparation, and video assembly. It suits people who want their existing coding assistant to help with production. This is a project-based workflow rather than a one-click video generator. It requires an assistant that can read files and run code, Python 3.10+, FFmpeg, and Node.js; individual rendering paths have additional requirements. Local tools and public media are options, while connected image, video, and voice services may require paid accounts. Check model access, media rights, and provider charges before production.

OpenMontage setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

OpenMontage use cases

  • Organize scripts, storyboards, and assets in stages
  • Compose video through tools such as FFmpeg and Remotion
  • Track budgets and review checkpoints in the workflow

Official project & documentation

View source code ↗Project website ↗Setup and usage guide ↗

The project’s original description

World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.

Alternatives to OpenMontage for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • Anthropic Skills · Frontend Design — Plan, build and critique an interface with deliberate layout, typography and interaction choices.
  • Taste Skill — Give a public-facing website a deliberate visual direction, then check the result in a browser.
  • Diagram Design — Turn plain-language explanations into architecture, process, and timeline diagrams.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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