| .github | ||
| api | ||
| docs | ||
| pipecat@f88c8a00de | ||
| scripts | ||
| ui | ||
| .env.example | ||
| .gitignore | ||
| .gitmodules | ||
| CONTRIBUTING.md | ||
| docker-compose-local.yaml | ||
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| LICENSE | ||
| README.md | ||
| SECURITY.md | ||
Dograh AI
⭐ If you find value in this project, PLEASE STAR IT to help others discover our FOSS platform!
Dograh helps you build your own voice agents with an easy drag-and-drop workflow builder. It's the fastest way to build voice AI agents - from zero to working bot in under 2 minutes (our hard SLA standards).
- 100% open source, self-hostable platform with built-in AI testing personas and flexible LLM/TTS/STT integration
- Maintained by YC alumni and exit founders, ensuring the future of voice AI stays open, not monopolized
🎥 Demo Video
Click to watch a 2-minute demo of Dograh AI in action
🚀 Get Started
Prerequisites
Before you begin, make sure you have the requirements installed. See 📋 Prerequisites for system requirements and port availability.
The only command you need to run:
Download and setup Dograh on your local machine
curl -o docker-compose.yaml https://raw.githubusercontent.com/dograh-hq/dograh/main/docker-compose.yaml && REGISTRY=ghcr.io/dograh-hq docker compose up
Note
First startup may take 2-3 minutes to download all images. Once running, open http://localhost:3010 to create your first AI voice assistant!
For common issues and solutions, see 🔧 Troubleshooting.
🎙️ Your First Voice Bot
- Open Dashboard: Launch http://localhost:3010 on your browser
- Choose Call Type: Select Inbound or Outbound calling.
- Name Your Bot: Use a short two-word name (e.g., Lead Qualification).
- Describe Use Case: In 5–10 words (e.g., Screen insurance form submissions for purchase intent).
- Launch: Your bot is ready! Open the bot and click Web Call to talk to it.
- No API Keys Needed: We auto-generate Dograh API keys so you can start immediately. You can switch to your own keys anytime.
- Default Access: Includes Dograh’s own LLMs, STT, and TTS stack by default.
- Bring Your Own Keys: Optionally connect your own API keys for LLMs, STT, TTS, or telephony providers like Twilio.
Quick Summary
⚡ 2-Minute Setup: Hard SLA standards - from zero to working voice bot in under 2 minutes
- 🔧 Minimal setup: Just run docker command and you're live
- 🤖 AI Testing Personas: Test your bots with LoopTalk AI that mimics real customer interactions
- 🔓 100% Open Source: Every line of code is open - no hidden logic, no black boxes
- 🔄 Flexible Integration: Bring your own LLM, TTS, or STT - or use Dograh’s API’s
- ☁️ Self-Host or Cloud: Run locally or use our hosted version at app.dograh.com
Features
Voice Capabilities
- Telephony: Built-in Twilio integration (easily add others)
- Languages: English support (expandable to other languages)
- Custom Models: Bring your own TTS/STT models
- Real-time Processing: Low-latency voice interactions
Developer Experience
- Zero Config Start: Auto-generated API keys for instant testing
- Python-Based: Built on Python for easy customization
- Docker-First: Containerized for consistent deployments
- Modular Architecture: Swap components as needed
Testing & Quality
- LoopTalk (Beta): Create AI personas to test your voice agents
- Workflow Testing: Test specific workflow IDs with automated calls
- Real-world Simulation: AI personas that mimic actual customer behavior
Configuration
Dograh automatically generates API keys on first run, but you can use your own keys.
- OPENAI_API_KEY=your_key_here
- TWILIO_ACCOUNT_SID=your_sid_here
- TWILIO_AUTH_TOKEN=your_token_here
Architecture
Architecture diagram (coming soon)
Deployment Options
Local Development
Refer prerequisites and first steps
Production (Self-Hosted)
Production guide coming soon. Drop in a message for assistance.
Cloud Version
Visit https://www.dograh.com for our managed cloud offering.
📚Documentation
Full documentation is in progress. For now, this README will get you started.
🤝Community & Support
- GitHub Issues: Report bugs or request features
- Slack: Our Slack community is not just for support — it’s the cornerstone of Dograh AI contributions. Here, you can:
- Connect with maintainers and other contributors
- Discuss issues and features before coding
- Get help with setup and debugging
- Stay up to date with contribution sprints
👉 Join us → Dograh Community Slack
Tech Stack
- FastAPI
- Pipecat
- LiveKit
- PostgreSQL
- Next.js
- XYFlow React
- Inbuilt Twilio integration
- Flexible back-end: switch to any LLM, TTS, or STT
🙌 Contributing
We love contributions! Dograh AI is 100% open source and we intend to keep it that way.
Getting Started
- Fork the repository
- Create your feature branch (git checkout -b feature/AmazingFeature)
- Commit your changes (git commit -m 'Add some AmazingFeature')
- Push to the branch (git push origin feature/AmazingFeature)
- Open a Pull Request
📄 License
Dograh AI is licensed under the BSD 2-Clause License- the same license as projects that were used in building Dograh AI, ensuring compatibility and freedom to use, modify, and distribute.
🏢 About
Built with ❤️ by Dograh (Zansat Technologies Private Limited) Founded by YC alumni and exit founders committed to keeping voice AI open and accessible to everyone.