OpenMontage
Complete Tutorial
From zero to your first AI-generated video in under 20 minutes. The definitive beginner-to-pro guide for the world’s first agentic video production system.
⚠️ Before You Begin — Prerequisites
InstallationClone the repo and install all dependencies
Start by cloning the OpenMontage repository from GitHub. This gives you the full framework including all 12 pipeline YAML files, 52 tools, and the Agent Guide. For more AI tool guides, visit ToolverseHub.
# Clone the repository git clone https://github.com/calesthio/OpenMontage.git cd OpenMontage # Install Python dependencies pip install -r requirements.txt # Install Node.js packages (for Remotion renderer) npm install
Now install FFmpeg — this is the core video processing engine OpenMontage uses for rendering, audio mixing, and frame analysis.
# Ubuntu / Debian sudo apt update && sudo apt install ffmpeg -y # macOS (Homebrew) brew install ffmpeg # Windows (Chocolatey) choco install ffmpeg # Verify installation ffmpeg -version
Tip: Run python --version, node --version, and ffmpeg -version to confirm all three are correctly installed before proceeding.
ConfigurationSet up your environment variables
OpenMontage works with zero API keys on the free path. But if you want premium AI visuals, copy the example environment file and add your keys. Find more setup guides at ToolverseHub.
# Copy the example file cp .env.example .env # Open it and configure nano .env
# ── FREE PATH (no keys needed) ────────────────── # Leave these blank to use Piper TTS + Archive.org # ── OPTIONAL: Paid providers ────────────────── FAL_API_KEY=your_fal_ai_key_here # FLUX, Kling, Veo, MiniMax ELEVENLABS_API_KEY=your_key_here # Premium voiceover # ── Budget caps ──────────────────────────────── MAX_SPEND_USD=2.00 # Hard limit per video APPROVAL_THRESHOLD_USD=0.50 # Ask before spending over $0.50
Important: Always set MAX_SPEND_USD to avoid unexpected API costs. OpenMontage will never exceed this limit without your explicit approval.
Your First VideoOpen in your AI assistant and run your first prompt
Open the OpenMontage folder inside your AI coding assistant. The agent reads the framework files automatically and becomes your video production director.
# Open with Claude Code claude . # Open with Cursor cursor . # Open with VS Code + Copilot code .
Once your AI assistant is open, simply type your first video request in natural language:
"Make a 2-minute explainer video about how black holes form.
Use the free path (no paid APIs). Keep it engaging and educational."The agent will now execute the full pipeline automatically:
- 1Pipeline SelectionAgent reads YAML manifests and selects the Explainer Video pipeline
- 2Live Research (15–25 searches)Searches YouTube, Reddit, NASA, academic sources for accurate content
- 3Script WritingGenerates a timed, grounded script from the research brief
- 4Asset SourcingPulls real footage from Archive.org / NASA; generates visuals with Piper TTS narration
- 5Render & Quality CheckFFmpeg renders the final video; post-render gate checks audio, frames, and delivery
First run tip: Expect 5–15 minutes for your first video depending on hardware. Subsequent videos are faster once assets are cached.
Choose a PipelineMatch your video type to the right pipeline
OpenMontage has 12 specialized pipelines. The agent auto-selects one based on your prompt, but you can also specify directly:
"Use the Documentary Montage pipeline to make a video
about the history of the internet. Free path only."Writing Great PromptsGet the best output with better instructions
The quality of your video depends heavily on your prompt. Here are real examples from basic to advanced:
Pro tip: Add a YouTube or TikTok reference URL in your prompt. OpenMontage will analyze that video’s transcript, pacing, and structure — and model your output after it.
Using Real FootagePull from Archive.org, NASA, Wikimedia, Pexels
OpenMontage can source real motion footage from public domain libraries — making your videos look authentic without paying for stock footage.
✓ Archive.org — historical footage, documentaries, old films ✓ NASA — space, science, Earth observation footage ✓ Wikimedia Commons — educational, science, nature ✓ Pexels — modern lifestyle, nature, urban (free license) ✓ Pixabay — stock footage across all categories
To explicitly request real footage in your prompt:
"Documentary Montage pipeline. Topic: Moon landing history.
Use real archival NASA footage where available.
2 minutes, narrated, serious tone."Enabling Paid ProvidersUnlock FLUX, Kling, Google Veo, MiniMax
For premium AI-generated visuals, connect a fal.ai API key. This unlocks the full suite of video generation models. Read the full provider comparison at ToolverseHub:
| Provider | Best For | Approx Cost |
|---|---|---|
| FLUX (image) | High-quality still images & thumbnails | ~$0.003/img |
| Kling 1.6 | Smooth motion video clips up to 10s | ~$0.14/clip |
| Google Veo 2 | Photorealistic cinematic video | ~$0.35/clip |
| MiniMax | Fast, cost-effective video generation | ~$0.09/clip |
| Recraft | Illustration & branded visual style | ~$0.004/img |
# Add your fal.ai key to unlock all providers FAL_API_KEY=fal_xxxxxxxxxxxxxxxxxxxxxxxx # Set a budget cap to stay in control MAX_SPEND_USD=1.50
Budget ControlSpend caps, pre-flight estimates, approval gates
OpenMontage never spends money without telling you first. The budget governance system works in three layers:
- 1Pre-flight Cost EstimateBefore executing, the agent shows a full breakdown: estimated tokens, API calls, and total USD cost
- 2Approval ThresholdIf a single action exceeds
APPROVAL_THRESHOLD_USD, the agent pauses and asks for your explicit go-ahead - 3Hard Spend Cap
MAX_SPEND_USDis a hard ceiling — the agent will never exceed it under any circumstances
Real example: A full product ad video with Kling + ElevenLabs narration costs approximately $0.69 — that’s less than a cup of coffee for a complete 60-second video.
Quality GatesUnderstand the automatic post-render review
After every render, OpenMontage runs a mandatory self-review before handing you the final file:
✓ Duration check — 2m 04s (target: 2m) [PASS] ✓ Audio levels — avg -14 LUFS [PASS] ✓ Black frame scan — 0 black frames detected [PASS] ✓ Overlay integrity — all text layers rendered [PASS] ✓ Delivery promise — explainer pipeline requirements met [PASS] → Output: ./output/black_holes_explainer_v1.mp4
If any check fails, the agent will automatically attempt to fix the issue and re-render before presenting the final file to you.
Tips & TricksPro moves to get the most out of OpenMontage
Reference URL trick: Paste any YouTube link in your prompt. The agent downloads its transcript and reverse-engineers the pacing, section structure, and hook style to use as a production template.
Iteration workflow: Start with the free path to validate your script and structure. Then re-run with a paid provider for the final polished version. This saves 90%+ of API costs.
Read the guides first: Open OpenMontage Agent Guide and OpenMontage Providers Guide in your AI assistant before complex projects. They contain all pipeline rules and provider selection logic.
"Pipeline: [PIPELINE_NAME]
Topic: [YOUR TOPIC]
Duration: [X minutes]
Audience: [WHO WILL WATCH]
Tone: [MOOD/STYLE]
Reference: [YOUTUBE URL or 'none']
Budget: [free / $X.XX max]
Special instructions: [any extra notes]"Ready to Build?
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