OpenMontage

Overview

OpenMontage is the first open-source, agentic video production system — a complete end-to-end pipeline that turns AI coding assistants (Claude Code, Cursor, Copilot, Windsurf, Codex) into full video production studios. Instead of a traditional code orchestrator, your AI assistant IS the orchestrator: the system reads pipeline manifests, skill files, and schema contracts, then executes tools to produce finished videos.

With over 40,000 GitHub stars, OpenMontage has quickly become a standout in the agentic content generation space. It provides 12 production pipelines, 52+ tools, and 400+ agent skills covering everything from explainer animations and cinematic trailers to real-footage documentaries and podcast repurposing.

The project is notable for its zero-key philosophy: a production-ready system works entirely with free and open-source alternatives (Piper TTS, Remotion composition, Archive.org/NASA/Wikimedia footage, local diffusion models), while supporting optional cloud providers (Kling, Runway, ElevenLabs, Suno, etc.) for premium quality.

Features

• 12 production pipelines: animated explainers, talking heads, cinematic trailers, documentaries, podcasts, localization, and more
• 52+ production tools: video generation, image creation, TTS, music, audio mixing, subtitles, enhancement, and analysis
• 400+ agent skills: production skills, pipeline directors, creative techniques, and quality checklists
• Real-footage documentaries using free stock footage from Archive.org, NASA, Wikimedia Commons, Pexels, and Unsplash — no paid video models required
• Live web research built in: agents run 15–25+ web searches before writing scripts
• Reference-driven creation: paste a YouTube video, TikTok, Reel, or local clip to get differentiated production plans
• Both free/local AND cloud providers: every capability supports open-source local alternatives alongside premium APIs
• No vendor lock-in: swap providers freely with scored selection across 7 quality dimensions
• Production-grade quality gates: pre-compose validation, post-render self-review, slideshow risk scoring, auditable decision logs
• Budget governance: cost estimation, spend caps, per-action approval thresholds
• Three-layer knowledge architecture: tools + pipelines (what exists), OpenMontage conventions (how to use it), and external technology knowledge packs (how it works)

Installation

Prerequisites:

• Python 3.10+
• FFmpeg
• Node.js 18+
• An AI coding assistant (Claude Code, Cursor, Copilot, Windsurf, or Codex)

git clone https://github.com/calesthio/OpenMontage.git
cd OpenMontage
make setup

Optional API keys (add to .env for expanded capabilities):

FAL_KEY=your-key
OPENAI_API_KEY=your-key
ELEVENLABS_API_KEY=your-key
PEXELS_API_KEY=your-key
KLING_API_KEY=your-key

More keys unlock more tools, but the system works with zero API keys using free alternatives like Piper TTS and Remotion composition.

Quick Start

Open the project in your AI coding assistant and describe what you want in plain language.

Zero keys — animated explainer:

"Make a 45-second animated explainer about why the sky is blue"

Free real-footage documentary:

"Make a 90-second documentary montage about what a city feels like at 4am. Use real footage only, no narration, elegiac tone."

With image/video provider (~$0.15–$1.50):

"Create a 30-second Ghibli-style animated video of a magical floating library in the clouds at golden hour"

Full cinematic setup (~$1–$3):

"Create a cinematic 30-second trailer for a sci-fi concept: humanity receives a warning from 1000 years in the future"

Core Concepts

Pipeline Structure

Every pipeline follows the same structured flow:

research → proposal → script → scene_plan → assets → edit → compose

The AI agent reads the pipeline manifest (YAML), discovers available tools via the registry, and executes stages with human approval gates at key creative decision points.

Three-Layer Knowledge Architecture

Layer	What	Files
Capabilities	What tools and pipelines exist	tools/, pipeline_defs/
Conventions	How to use OpenMontage	skills/ (Markdown skill files)
Knowledge	External technology knowledge packs	Reference packs

Composition Engines

• Remotion — React-based programmatic video for image scenes, stat cards, TikTok-style captions, and talking heads
• HyperFrames — HTML/CSS/GSAP rendering for kinetic typography, product promos, and rigged SVG character animation

Advanced Features

12 Production Pipelines

Pipeline	What It Produces	Best For
Animated Explainer	AI-generated explainer with research, narration, visuals, music	Educational content, tutorials
Animation	Motion graphics, kinetic typography, animated sequences	Social media, product demos
Avatar Spokesperson	Avatar-driven presenter videos	Corporate comms, training
Cinematic	Trailer, teaser, and mood-driven edits	Brand films, teasers
Clip Factory	Batch of ranked short-form clips from one long source	Repurposing long content
Documentary Montage	Thematic montage from CLIP-indexed corpus of free stock footage	Video essays, mood pieces
Hybrid	Source footage + AI-generated support visuals	Enhancing existing footage
Localization & Dub	Subtitle, dub, and translate existing video	Multi-language distribution
Podcast Repurpose	Podcast highlights to video	Podcast marketing, audiograms
Screen Demo	Polished software screen recordings and walkthroughs	Product demos, tutorials
Talking Head	Footage-led speaker videos	Presentations, vlogs, interviews

52 Tools by Category

• Video Generation (13+): Kling (fal.ai), Kling Official, Runway Gen-4, Google Veo 3, Grok Imagine Video, Higgsfield, MiniMax, HeyGen, WAN 2.1 (local), Hunyuan (local), CogVideo (local), LTX-Video (local), plus stock from Pexels, Pixabay, Wikimedia Commons
• Image Generation (11): FLUX, Google Imagen, Grok Imagine Image, GPT Image 2, Recraft, Kling Official, Local Diffusion, Pexels, Pixabay, Unsplash, ManimCE
• Text-to-Speech (5): ElevenLabs, Google TTS (700+ voices), Kling Official TTS, OpenAI TTS, Piper (free, offline)
• Music & Sound: Suno AI (full songs, up to 8 minutes), ElevenLabs Music, ElevenLabs SFX
• Post-Production: FFmpeg (encoding, subtitle burn-in), Video Stitch, Video Trimmer, Audio Mixer, Audio Enhance, Color Grade
• Enhancement: Upscale (Real-ESRGAN), Background Remove (rembg), Face Enhance, Face Restore (CodeFormer/GFPGAN)
• Analysis: Transcriber (WhisperX), Scene Detect, Frame Sampler, Video Understand (CLIP/BLIP-2)
• Avatar & Lip Sync: Talking Head (SadTalker/MuseTalk), Lip Sync (Wav2Lip), Kling Avatar, Kling Lip Sync
• Subtitle: SRT/VTT generation

Examples

Project Structure:

OpenMontage/
├── tools/              # 48 Python tools (the agent's hands)
├── pipeline_defs/      # YAML pipeline manifests
├── skills/             # Markdown skill files (the agent's knowledge)
├── schemas/            # 15 JSON Schemas (contract validation)
├── styles/             # Visual style playbooks (YAML)
├── remotion-composer/  # React/Remotion video composition engine
├── lib/                # Core infrastructure
└── tests/              # Contract tests, QA integration tests

Real-Footage Documentary (Zero Cost):

# Prompt to your AI assistant:
"Make a 75-second documentary montage about city life in the rain.
 Use real footage only, no narration, elegiac tone, with music."

The agent will: research with live web search → find royalty-free footage from Archive.org/NASA/Wikimedia → compose music via Remotion → burn in word-level subtitles → render final video.

Cinematic Trailer:

# Prompt:
"Create a 30-second cinematic trailer for a sci-fi concept:
 humanity receives a warning from 1000 years in the future."

Pros

• ✅ Fully open-source with GNU AGPLv3 license
• ✅ Zero API keys required — works entirely with free/local tools
• ✅ No vendor lock-in — swap providers freely with scored selection
• ✅ Production-grade quality gates and budget governance
• ✅ Works with any AI coding assistant (Claude Code, Cursor, Copilot, Windsurf)
• ✅ 12 pipelines and 52 tools cover nearly every video format
• ✅ Live web research integrated into every pipeline
• ✅ Reference-driven creation from existing videos

Cons

• ❌ Requires an AI coding assistant — not a standalone app
• ❌ Setup complexity for users unfamiliar with CLI/terminal
• ❌ Premium cloud provider costs can add up ($1–$3 per high-quality video)
• ❌ Local rendering quality depends on hardware
• ❌ Large project footprint (many tools, skills, and dependencies)

When to Use

• Content creators who want to produce videos at scale using AI
• Educational teams building explainer videos and tutorials
• Marketing teams repurposing long-form content into short clips
• Podcasters converting episodes into video highlights
• Developers integrating agentic video production into coding workflows
• Anyone who wants production-grade video without a video editing background

Resources

• Official Website
• GitHub Repository
• YouTube Channel
• X/Twitter: @calesthioailabs
• GitHub Discussions
• Agent Guide
• Provider Guide
• Architecture