Dograh AI

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The open-source alternative to Vapi - 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 - no vendor lock-in, unlike proprietary solutions like Vapi
• Full control & transparency - every line of code is open, 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

🚀 Get Started

Download and setup Dograh on your Local Machine

Note We collect anonymous usage data to improve the product. You can opt out by setting the ENABLE_TELEMETRY to false in the below command.

Note If you wish to run the platform on a remote server instead, checkout our Documentation

curl -o docker-compose.yaml https://raw.githubusercontent.com/dograh-hq/dograh/main/docker-compose.yaml && REGISTRY=ghcr.io/dograh-hq ENABLE_TELEMETRY=true docker compose up --pull always

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

1. Open Dashboard: Launch http://localhost:3010 on your browser
2. Choose Call Type: Select Inbound or Outbound calling.
3. Name Your Bot: Use a short two-word name (e.g., Lead Qualification).
4. Describe Use Case: In 5–10 words (e.g., Screen insurance form submissions for purchase intent).
5. Launch: Your bot is ready! Open the bot and click Web Call to talk to it.
6. No API Keys Needed: We auto-generate Dograh API keys so you can start immediately. You can switch to your own keys anytime.
7. Default Access: Includes Dograh’s own LLMs, STT, and TTS stack by default.
8. Bring Your Own Keys: Optionally connect your own API keys for LLMs, STT, TTS, or telephony providers like Twilio.

Quick Summary

⚡ Open-source alternative to Vapi - 2-minute setup with hard SLA standards

• 🔧 No vendor lock-in: Self-hostable platform vs proprietary SaaS solutions
• 🤖 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 (unlike Vapi)
• 🔄 Flexible Integration: Bring your own LLM, TTS, or STT - or use Dograh's APIs
• ☁️ Deploy anywhere: Self-host or use our hosted version at app.dograh.com

Features

Voice Capabilities

• Telephony: Built-in telephony integration like Twilio, Vonage, Vobiz, Cloudonix (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

Architecture

Architecture diagram (coming soon)

Deployment Options

Local Development

Refer Local Setup

Self-Hosted Deployment

For detailed deployment instructions including remote server setup with HTTPS, see our Docker Deployment Guide.

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

You can go to https://docs.dograh.com for our documentation.

🤝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

🙌 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.

⭐ Star us on GitHub | ☁️ Try Cloud Version | 💬 Join Slack