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<p align="center">
<img src="assets/logo.png" alt="OpenMontage" width="200">
</p>
<h1 align="center">OpenMontage</h1>
<p align="center"><strong>The first open-source, agentic video production system.</strong></p>
OpenMontage turns your AI coding assistant into a full video production studio. Tell it what you want — a 60-second explainer, a cinematic brand teaser, a batch of TikTok clips from your podcast — and your agent handles the entire pipeline: research, scripting, asset generation, editing, and final composition.
No video editing experience required. No complex UI to learn. Just describe your vision in plain language.
Works with **Claude Code, Cursor, Copilot, Windsurf, Codex** — any AI coding assistant that can read files and run code.
---
## Why OpenMontage?
Most AI video tools give you a single clip from a prompt. OpenMontage gives you an **end-to-end production pipeline** — the same structured process a real production team follows, automated by your AI agent.
Edit your own talking-head footage. Generate a fully animated explainer from scratch. Cut a 2-hour podcast into a dozen social clips. Translate and dub your content into 10 languages. Build a cinematic brand teaser from stock footage and AI-generated scenes. **If a production team can make it, OpenMontage can orchestrate it.**
- **11 production pipelines** — explainers, talking heads, screen demos, cinematic trailers, animations, podcasts, localization, and more
- **49 production tools** — spanning video generation, image creation, text-to-speech, music, audio mixing, subtitles, enhancement, and analysis
- **400+ agent skills** — production skills, pipeline directors, creative techniques, quality checklists, and deep technology knowledge packs that teach the agent how to use every tool like an expert
- **Live web research built in** — before writing a single word of script, the agent runs 15-25+ web searches across YouTube, Reddit, news sites, and academic sources to ground your video in real, current data
- **Both free/local AND cloud providers** — every capability supports open-source local alternatives alongside premium APIs. Use what you have.
- **No vendor lock-in** — swap providers freely. The selector pattern auto-routes to whatever's available on your machine.
- **Budget governance built in** — cost estimation before execution, spend caps, per-action approval thresholds. No surprise bills.
---
## Supported Providers
> **Detailed setup instructions, pricing, and free tiers for every provider:** [`docs/PROVIDERS.md`](docs/PROVIDERS.md)
### Video Generation (12 providers)
| Provider | Type | Notes |
|----------|------|-------|
| **Kling** | Cloud API | High quality, fast |
| **Runway Gen-4** | Cloud API | Cinematic quality |
| **Google Veo 3** | Cloud API | Long-form, cinematic. Via fal.ai or HeyGen. |
| **MiniMax** | Cloud API | Cost-effective |
| **HeyGen** | Cloud API | Multi-model gateway |
| **WAN 2.1** | Local GPU | Free, 1.3B and 14B variants |
| **Hunyuan** | Local GPU | Free, high quality |
| **CogVideo** | Local GPU | Free, 2B and 5B variants |
| **LTX-Video** | Local GPU / Modal | Free locally, or self-hosted cloud |
| **Pexels** | Stock | Free stock footage |
| **Pixabay** | Stock | Free stock footage |
### Image Generation (8 providers)
| Provider | Type | Notes |
|----------|------|-------|
| **FLUX** | Cloud API | State-of-the-art quality |
| **Google Imagen** | Cloud API | Imagen 4 — high-quality, multiple aspect ratios |
| **DALL-E 3** | Cloud API | OpenAI's image model |
| **Recraft** | Cloud API | Design-focused generation |
| **Local Diffusion** | Local GPU | Stable Diffusion, free |
| **Pexels** | Stock | Free stock images |
| **Pixabay** | Stock | Free stock images |
| **ManimCE** | Local | Mathematical animations |
### Text-to-Speech (4 providers)
| Provider | Type | Notes |
|----------|------|-------|
| **ElevenLabs** | Cloud API | Premium voice quality |
| **Google TTS** | Cloud API | 700+ voices, 50+ languages — best for localization |
| **OpenAI TTS** | Cloud API | Fast, affordable |
| **Piper** | Local | Completely free, offline |
### Music & Sound
| Provider | Type | Notes |
|----------|------|-------|
| **Suno AI** | Cloud API | Full song generation with vocals, lyrics, any genre. Up to 8 minutes. |
| **ElevenLabs Music** | Cloud API | AI music generation |
| **ElevenLabs SFX** | Cloud API | Sound effect generation |
### Post-Production (always available, always free)
| Tool | What It Does |
|------|-------------|
| **FFmpeg** | Video composition, encoding, subtitle burn-in, audio muxing |
| **Video Stitch** | Multi-clip assembly, crossfades, picture-in-picture, spatial layouts |
| **Video Trimmer** | Precision cutting and extraction |
| **Audio Mixer** | Multi-track mixing, ducking, fades |
| **Audio Enhance** | Noise reduction, normalization |
| **Color Grade** | LUT-based color grading |
| **Subtitle Gen** | SRT/VTT generation from timestamps |
### Enhancement
| Tool | What It Does |
|------|-------------|
| **Upscale** | Real-ESRGAN image/video upscaling |
| **Background Remove** | rembg / U2Net background removal |
| **Face Enhance** | Face quality enhancement |
| **Face Restore** | CodeFormer / GFPGAN face restoration |
### Analysis
| Tool | What It Does |
|------|-------------|
| **Transcriber** | WhisperX speech-to-text with word-level timestamps |
| **Scene Detect** | Automatic scene boundary detection |
| **Frame Sampler** | Intelligent frame extraction |
| **Video Understand** | CLIP/BLIP-2 vision-language analysis |
### Avatar & Lip Sync
| Tool | What It Does |
|------|-------------|
| **Talking Head** | SadTalker / MuseTalk avatar animation |
| **Lip Sync** | Wav2Lip audio-driven lip synchronization |
### Composition & Rendering
| Engine | Type | What It Does |
|--------|------|-------------|
| **Remotion** | Local (Node.js) | React-based programmatic video — animated text cards, stat cards, charts, spring physics transitions, image-to-video with motion. **When no video generation providers are configured, the agent generates still images and Remotion turns them into fully animated video.** |
| **FFmpeg** | Local | Core video assembly, encoding, subtitle burn, audio muxing, color grading |
---
## Pipelines
Each pipeline is a complete production workflow, from idea to finished video.
| Pipeline | What It Produces | Best For |
|----------|-----------------|----------|
| **Animated Explainer** | AI-generated explainer with research, narration, visuals, music | Educational content, tutorials, topic breakdowns |
| **Animation** | Motion graphics, kinetic typography, animated sequences | Social media, product demos, abstract concepts |
| **Avatar Spokesperson** | Avatar-driven presenter videos | Corporate comms, training, announcements |
| **Cinematic** | Trailer, teaser, and mood-driven edits | Brand films, teasers, promotional content |
| **Clip Factory** | Batch of ranked short-form clips from one long source | Repurposing long content for social media |
| **Hybrid** | Source footage + AI-generated support visuals | Enhancing existing footage with graphics |
| **Localization & Dub** | Subtitle, dub, and translate existing video | Multi-language distribution |
| **Podcast Repurpose** | Podcast highlights to video | Podcast marketing, audiogram videos |
| **Screen Demo** | Polished software screen recordings and walkthroughs | Product demos, tutorials, documentation |
| **Talking Head** | Footage-led speaker videos | Presentations, vlogs, interviews |
Every pipeline follows the same structured flow:
```
research -> proposal -> script -> scene_plan -> assets -> edit -> compose
```
Each stage has a dedicated **director skill** — a markdown instruction file that teaches the agent exactly how to execute that stage. The agent reads the skill, uses the tools, self-reviews, checkpoints state, and asks for human approval at creative decision points.
> **Web research is a first-class stage.** Before writing a single word of script, the agent searches YouTube, Reddit, Hacker News, news sites, and academic sources. It gathers data points, audience questions, trending angles, and visual references — then cites everything in a structured research brief. Your videos are grounded in real, current information, not hallucinated facts.
---
## How It Works
OpenMontage uses an **agent-first architecture**. There is no code orchestrator. Your AI coding assistant IS the orchestrator.
```
You: "Make an explainer video about how black holes form"
|
v
Agent reads pipeline manifest (YAML) -- what stages to run, what tools to use
|
v
Agent reads stage director skill (Markdown) -- HOW to execute each stage
|
v
Agent calls Python tools -- TTS, image gen, video gen, FFmpeg, etc.
|
v
Agent self-reviews using reviewer skill -- quality checks
|
v
Agent checkpoints state (JSON) -- resumable if interrupted
|
v
Agent presents for your approval -- you stay in control
|
v
Final video output
```
**Python provides tools and persistence.** All creative decisions, orchestration logic, review criteria, and quality standards live in readable instruction files (YAML manifests + Markdown skills) that you can inspect and customize.
---
## Quick Start
### 1. Prerequisites
Make sure these are installed before you begin:
- **Python 3.10+** — [python.org](https://www.python.org/downloads/)
- **FFmpeg** — `brew install ffmpeg` / `sudo apt install ffmpeg` / [ffmpeg.org](https://ffmpeg.org/download.html)
- **Node.js 18+** — [nodejs.org](https://nodejs.org/)
- **An AI coding assistant** — Claude Code, Cursor, Copilot, Windsurf, or Codex
### 2. Install
```bash
git clone https://github.com/calesthio/OpenMontage.git
cd OpenMontage
make setup
```
That's it. `make setup` installs Python dependencies, the Remotion composer, free offline TTS (Piper), and creates your `.env` file.
> **No `make`?** Run the steps manually:
> ```bash
> pip install -r requirements.txt
> cd remotion-composer && npm install && cd ..
> pip install piper-tts
> cp .env.example .env
> ```
### 3. Add API Keys (optional)
Open `.env` in your editor and add any keys you have. Every key is optional — the more you add, the more providers unlock.
```bash
# .env — add your keys here
# Best bang for buck — one key unlocks 5 tools:
FAL_KEY=your-key # FLUX images + Google Veo, Kling, MiniMax video + Recraft images
# Free stock media:
PEXELS_API_KEY=your-key # Free — stock footage and images
PIXABAY_API_KEY=your-key # Free — stock footage and images
# Music:
SUNO_API_KEY=your-key # Suno AI — full songs, instrumentals, any genre
# Voice & images:
ELEVENLABS_API_KEY=your-key # Premium TTS, AI music, sound effects
OPENAI_API_KEY=your-key # OpenAI TTS, DALL-E 3 images
GOOGLE_API_KEY=your-key # Google Imagen images, Google TTS (700+ voices)
# More video providers:
HEYGEN_API_KEY=your-key # HeyGen — VEO, Sora, Runway, Kling via single gateway
RUNWAY_API_KEY=your-key # Runway Gen-4 direct
```
**Have a GPU?** Unlock free local video and image generation:
```bash
make install-gpu
# Then add to .env:
VIDEO_GEN_LOCAL_ENABLED=true
VIDEO_GEN_LOCAL_MODEL=wan2.1-1.3b # or wan2.1-14b, hunyuan-1.5, ltx2-local, cogvideo-5b
```
### 4. Run
Open the project in your AI coding assistant and tell it what you want:
```
"Make a 60-second animated explainer about how neural networks learn"
```
The agent will:
1. Run preflight to discover your available tools and show you what's configured
2. Research the topic with live web searches — grounding the script in real data
3. Present you with concept directions, a production plan, and cost estimates
4. Execute the pipeline stage by stage, checkpointing as it goes
5. Ask for your approval at creative decision points
6. Deliver the final composed video
---
## Architecture
```
OpenMontage/
├── tools/ # 48 Python tools (the agent's hands)
│ ├── video/ # 12 video gen providers + compose, stitch, trim
│ ├── audio/ # 4 TTS providers + Suno/ElevenLabs music, mixing, enhancement
│ ├── graphics/ # 8 image gen providers + diagrams, code snippets, math
│ ├── enhancement/ # Upscale, bg remove, face enhance, color grade
│ ├── analysis/ # Transcription, scene detect, frame sampling
│ ├── avatar/ # Talking head, lip sync
│ └── subtitle/ # SRT/VTT generation
├── pipeline_defs/ # 11 YAML pipeline manifests (the agent's playbook)
├── skills/ # 124 Markdown skill files (the agent's knowledge)
│ ├── pipelines/ # Per-pipeline stage director skills
│ ├── creative/ # Creative technique skills
│ ├── core/ # Core tool skills
│ └── meta/ # Reviewer, checkpoint protocol
├── schemas/ # 15 JSON Schemas (contract validation)
├── styles/ # Visual style playbooks (YAML)
├── remotion-composer/ # React/Remotion video composition engine
├── lib/ # Core infrastructure (config, checkpoints, pipeline loader)
└── tests/ # Contract tests, QA integration tests, eval harness
```
### Three-Layer Knowledge Architecture
```
Layer 1: tools/ + pipeline_defs/ "What exists" — executable capabilities + orchestration
Layer 2: skills/ "How to use it" — OpenMontage conventions and quality bars
Layer 3: .agents/skills/ "How it works" — 47 external technology knowledge packs
```
Each tool declares which Layer 3 skills it relies on. The agent reads Layer 1 to know what's available, Layer 2 to know how OpenMontage wants it used, and Layer 3 for deep technical knowledge when needed.
---
## Style System
Style playbooks define the visual language for your productions:
| Playbook | Best For |
|----------|----------|
| **Clean Professional** | Corporate, educational, SaaS |
| **Flat Motion Graphics** | Social media, TikTok, startups |
| **Minimalist Diagram** | Technical deep-dives, architecture |
Playbooks control typography, color palettes, motion styles, audio profiles, and quality rules. The agent reads the playbook and applies it consistently across all generated assets.
---
## Platform Output Profiles
Built-in render profiles for every major platform:
| Profile | Resolution | Aspect Ratio |
|---------|-----------|--------------|
| YouTube Landscape | 1920x1080 | 16:9 |
| YouTube 4K | 3840x2160 | 16:9 |
| YouTube Shorts | 1080x1920 | 9:16 |
| Instagram Reels | 1080x1920 | 9:16 |
| Instagram Feed | 1080x1080 | 1:1 |
| TikTok | 1080x1920 | 9:16 |
| LinkedIn | 1920x1080 | 16:9 |
| Cinematic | 2560x1080 | 21:9 |
---
## Budget Governance
Every paid API call goes through the cost tracker:
- **Estimate** before execution — see what it will cost
- **Reserve** budget — lock funds before the call
- **Reconcile** after — record actual spend
- **Configurable modes** — `observe` (track only), `warn` (log overruns), `cap` (hard limit)
- **Per-action approval** — pause for confirmation above a threshold (default: $0.50)
- **Total budget cap** — default $10, fully configurable
No surprise bills. The agent tells you what it will cost before it spends.
---
## Agent Compatibility
OpenMontage works with any AI coding assistant that can read files and execute Python. Dedicated instruction files are included for:
| Platform | Config File |
|----------|------------|
| **Claude Code** | `CLAUDE.md` |
| **Cursor** | `CURSOR.md` + `.cursor/rules/` |
| **GitHub Copilot** | `COPILOT.md` + `.github/copilot-instructions.md` |
| **Codex** | `CODEX.md` |
| **Windsurf** | `.windsurfrules` |
All platform files point to the shared `AGENT_GUIDE.md` (operating guide and agent contract) and `PROJECT_CONTEXT.md` (architecture reference).
---
## Contributing
OpenMontage is built to be extended. The two most common contributions:
### Adding a New Tool
1. Create a Python file in the appropriate `tools/` subdirectory
2. Inherit from `BaseTool` and implement the tool contract
3. The registry auto-discovers it — no manual registration needed
4. Add a skill file if the tool needs usage guidance
### Adding a New Pipeline
1. Create a YAML manifest in `pipeline_defs/`
2. Create stage director skills in `skills/pipelines/<your-pipeline>/`
3. Reference existing tools — or add new ones if needed
See `docs/ARCHITECTURE.md` for the full technical reference, `docs/PROVIDERS.md` for the complete provider guide (setup, pricing, free tiers), and `AGENT_GUIDE.md` for the agent contract.
---
## Testing
```bash
# Run contract tests (no API keys needed)
make test-contracts
# Run all tests
make test
```
---
## License
[GNU AGPLv3](LICENSE)
---
**OpenMontage** — Production-grade video, orchestrated by your AI assistant.