OpenMontage is an open-source, agentic video production system written in Python that enables users to create professional videos through natural language prompts. The system comprises 12 pipelines and 52 tools that collectively provide over 500 agent skills, allowing AI coding assistants like Claude Code, Cursor, Copilot, and Windsurf to function as full video production studios. Rather than simply animating static images, OpenMontage can produce genuine video content by building corpora from free stock footage and open archives, retrieving actual motion clips, editing them into timelines, and rendering finished pieces.
The repository has demonstrated significant community adoption, with GitGenius tracking growth from 33,030 to 33,040 stargazers and 3,780 to 3,784 forks since early July 2026. The project maintains active engagement with a median issue and pull request response latency of 0.9 hours and a mean latency of 117.9 hours across 62 tracked items. The primary maintainer, calesthio, has logged 48 events in the tracked activity, with secondary contributors Anil-matcha and chantskevin showing 5 and 3 events respectively. Enhancement requests and bug reports represent the most active issue categories, with help wanted tags also appearing frequently.
OpenMontage supports multiple production approaches. Users can start from scratch with plain language descriptions, or they can paste reference videos from YouTube, TikTok, Reels, Shorts, or local files. The agent analyzes transcripts, pacing, scenes, keyframes, and style to generate differentiated production concepts with honest tool paths and cost estimates before full production begins. The system integrates with numerous AI providers including OpenAI, Claude, ElevenLabs, Flux, Stable Diffusion, and others, enabling diverse creative workflows from photorealistic to animated styles.
The Backlot feature provides a living storyboard that visualizes production progress in real time. As pipelines execute, stages light up, scripts appear as screenplay pages, and scene cards update as assets generate. This interface serves as an approval gate where users can review assets scene-by-scene before rendering, examining takes, prompts, per-asset costs, and quality scores. Creative decisions pause production until users provide approval through chat, ensuring human oversight throughout the pipeline.
The system emphasizes cost efficiency and accessibility. Example productions documented in the repository demonstrate remarkably low costs: a 60-second animated short cost $1.33, a 70-second historical piece cost $0.02, a product advertisement cost $0.69, and Ghibli-style animations cost $0.15 each. These examples showcase the range of possible outputs from simple image-based animations with camera motion and particle effects to complex multi-scene productions with narration, music, and subtitles.
OpenMontage is licensed under AGPLv3 and has been recognized as a top repository on GitHub Trending. The project maintains documentation including provider guides, pull request review guidelines, and agent guides. The codebase is classified across multiple video production domains including video editing, montage creation, timeline management, clip trimming, media import, audio synchronization, export formats, user interface design, project organization, and cross-platform compatibility. The repository connects to related projects through overlapping contributors, including koala73/worldmonitor, nesquena/hermes-webui, and tinyhumansai/openhuman.
