HN 표시: 우리는 오픈 소스 Vapi – UI 포함

⭐ If you find value in this project, please STAR the Github repository to help others discover our FOSS platform! 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 Note We collect anonymous usage data to improve the product. You can opt out by setting the ENABLE_TELEMETRY tofalse 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. - 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. ⚡ 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 - 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 - 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 - 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 diagram (coming soon) Refer Local Setup For detailed deployment instructions including remote server setup with HTTPS, see our Docker Deployment Guide. Production guide coming soon. Drop in a message for assistance. Visit https://www.dograh.com for our managed cloud offering. You can go to https://docs.dograh.com for our documentation. - 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 We love contributions! Dograh AI is 100% open source and we intend to keep it that way. - 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 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. 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.