Verified project record
calesthio/OpenMontage
OpenMontage orchestrates end-to-end AI video production from natural language prompts through structured stages including research, scripting, asset generation, and quality validation. It requires an external AI coding assistant to execute production workflows and integrates with FFmpeg, Remotion, FAL, and OpenAI for rendering and media generation.
Project overview
It provides an automated production pipeline with built-in quality gates that enforce pre-compose validation and post-render review, while supporting real-footage assembly without requiring paid video models.
- Project type
- AI Agent · Video
- Use cases
- Documents & Office · Image Processing · Video Creation · Audio & Speech · Coding & Development
- Deployment
- Refer to project documentation
- License
- AGPL-3.0
Best for
- Creators and developers who want to produce short videos through an automated, multi-stage pipeline and are already using or willing to use an AI coding assistant.
- Users who need real-footage documentary creation without depending on paid generative video models.
- Teams that want pre-compose and post-render quality validation integrated into the production workflow.
Key capabilities
- Orchestrates complete production workflows from idea to finished video through structured stages: research, proposal, script, scene_plan, assets, edit, and compose.
- Includes over 400 agent skills covering production skills, pipeline directors, creative techniques, and quality checklists that teach the AI assistant how to execute each stage.
- A local, auto-populating board that displays production progress, live stages, and assets currently generating, and functions as a visual approval gate.
- Enforces pre-compose validation that blocks slideshow renders and performs post-render self-review using ffprobe, frame extraction, and audio analysis to verify output standards.
- Ranks generation tools across seven dimensions—task fit, output quality, control, reliability, cost efficiency, latency, and continuity—to automatically select a provider.
Limitations and risks
- The system requires an external AI coding assistant such as Claude Code, Cursor, Copilot, Windsurf, or Codex to operate. It does not run as a standalone application.
- Generative asset workflows depend on external services and API keys. Documented model requirements include FLUX images and Google Veo video via FAL_KEY, and OpenAI TTS and GPT Image 2 via OPENAI_API_KEY.
- The data boundary is classified as external-optional, meaning external services may be involved depending on the providers and models used. Local orchestration does not eliminate cloud round-trips for remote inference or API-based generation.
Getting started
- Setup difficulty is medium. It requires Python, Node.js, and FFmpeg, along with dependency installation via make setup and an AI coding assistant. The first success path is: git clone https://github.com/calesthio/OpenMontage.git, cd OpenMontage, make setup, then open the project in your AI coding assistant and tell it what you want.
Evidence and sources
- GitHub project description: World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
- README: The first open-source, agentic video production system.
- README: Turn your AI coding assistant into a full video production studio. Describe what you want in plain language — your agent handles research, scripting, asset generation, editing, an…
- README: OpenMontage can make image-based videos, but it can also make a real **video video** for free/open-source workflows: the agent builds a corpus from free stock footage and open arc…
- README: Works with **Claude Code, Cursor, Copilot, Windsurf, Codex** — any AI coding assistant that can read files and run code.
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