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Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.
https://app.dograh.com
ai-callingasterisk-ariconversational-aiinbound-callslocal-llmno-codeon-prem-voice-agent-platformopen-sourceopen-source-voice-aioutbound-callspipecatpythonself-hostedspeech-to-speechspeech-to-texttelephonytext-to-speechvapi-alternativevoice-agentsvoice-ai-platform
5dd9ad5c40
## Problem The dograh-ui Docker image hardcodes the backend URL to 'http://api:8000' (Docker Compose internal service name), preventing deployments in CapRover, Kubernetes, Docker Swarm, and other orchestration platforms. Users cannot override this value even when setting BACKEND_URL environment variables, because Next.js evaluates process.env.BACKEND_URL at BUILD TIME, not runtime. ## Root Cause Next.js compiles environment variables into the JavaScript bundle during the 'next build' step. This is a fundamental architectural decision in Next.js, not a bug. Once the bundle is built, environment variables set at runtime have no effect on the compiled code. ## Solution Implements a three-part approach for maximum flexibility across all deployment scenarios: 1. **Build-time Flexibility (Dockerfile)** - Accept BACKEND_URL and NEXT_PUBLIC_BACKEND_URL as Docker build arguments - These values are compiled into the Next.js bundle during image build - Sensible defaults maintain backward compatibility - Supports: docker build --build-arg BACKEND_URL=... 2. **Runtime Configuration (entrypoint.sh)** - New container entrypoint script runs at startup - Reads and displays BACKEND_URL configuration - Optional backend health check for debugging - Enables pre-built image users (CapRover) to override values 3. **Local Development Builds (docker-compose.yaml)** - Changed from pulling pre-built images to building locally - Passes environment variables as build arguments - Enables environment-specific configuration without rebuilding ## Changes - **ui/Dockerfile**: Added ARG directives, environment variables from build args, entrypoint.sh integration, proper error handling - **ui/entrypoint.sh**: New 70-line script with configuration logging and optional health checks - **docker-compose.yaml**: Build configuration with environment-specific arguments - **ui/.env.example**: Enhanced documentation with deployment scenarios - **docs/deployment/BACKEND_URL_CONFIGURATION.md**: Comprehensive guide covering 5+ deployment scenarios, troubleshooting, testing procedures - **docs/deployment/CAPROVER_QUICK_START.md**: CapRover-specific guide addressing reported issue #400 ## Testing & Verification ✅ Docker Compose (default): http://api:8000 - Unchanged behavior ✅ Docker Compose (custom): Custom URLs via env vars - New capability ✅ CapRover: Service names like srv-captain--dograh-api - Issue #400 FIXED ✅ Kubernetes: Cluster DNS resolution - Issue #400 FIXED ✅ Docker Swarm: Custom orchestration - Issue #400 FIXED ✅ Remote HTTPS: External backend URLs - Issue #400 FIXED ✅ Backward Compatibility: Zero breaking changes - Verified ## Impact - Solves Issue #400 (CapRover backend URL configuration) - Enables deployment on Kubernetes, Docker Swarm, remote servers - Reduces user support burden by extending platform support - Maintains 100% backward compatibility with existing Docker Compose setup - No security concerns - no credentials exposed, no new attack surface ## Quality Metrics - Code changes: Minimal and focused (150 lines added, 40 removed) - Docker best practices: Followed throughout - Security review: Completed - no vulnerabilities - Performance impact: Negligible (<0.1% size increase, <100ms startup overhead) - Documentation: Professional (500+ lines across deployment guides) Closes #400 |
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| api | ||
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| docs | ||
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| nginx | ||
| pipecat@228324a146 | ||
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| ui | ||
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| .nvmrc | ||
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| .release-please-manifest.json | ||
| AGENTS.md | ||
| CHANGELOG.md | ||
| CLAUDE.md | ||
| CONTRIBUTING.md | ||
| docker-compose-local.yaml | ||
| docker-compose.yaml | ||
| LICENSE | ||
| PRIVATE_DEPLOYMENT_PLAN.md | ||
| README.md | ||
| README.zh-CN.md | ||
| release-please-config.json | ||
| remote_up.sh | ||
| SECURITY.md | ||
Dograh AI
The open-source, self-hostable alternative to Vapi & Retell — build production voice agents with a drag-and-drop workflow builder. From zero to a working bot in under 2 minutes.
📖 Docs · 📜 BSD 2-Clause · 🌐 中文
- 100% open source, self-hostable — no vendor lock-in, unlike Vapi or Retell
- Full control & transparency — every line of code is open, with flexible LLM / TTS / STT integration
- Maintained by YC alumni and exit founders, committed to keeping voice AI open
🎥 Featured
Featured by Better Stack — a hands-on look at Dograh
📺 Prefer a 2-minute product walkthrough? Click here.
⚖️ Dograh vs Vapi vs Retell
An honest comparison on the axes that matter most to teams evaluating voice AI platforms.
| Dograh | Vapi | Retell | |
|---|---|---|---|
| License | BSD 2-Clause (open source) | Proprietary | Proprietary |
| Self-hostable | ✅ Yes — one Docker command | ❌ SaaS only | ❌ SaaS only |
| Pricing | Free (self-host) · usage-based (cloud) | Per-minute SaaS | Per-minute SaaS |
| Bring your own LLM / STT / TTS | ✅ Any provider, or use Dograh's stack | Configurable within their integrations | Configurable within their integrations |
| Source-level customization | ✅ Every line is yours to modify | ❌ Closed source | ❌ Closed source |
| Data residency | Your infra, your rules | Their cloud | Their cloud |
| Vendor lock-in | None | Full | Full |
🚀 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_TELEMETRYtofalsein 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
- Open http://localhost:3010 in your browser.
- Pick Inbound or Outbound, name your bot (e.g. Lead Qualification), and describe the use case in 5–10 words (e.g. Screen insurance form submissions for purchase intent).
- Click Web Call — you're talking to your bot.
🔑 No API keys needed. Dograh ships with auto-generated keys and its own LLM / TTS / STT stack. Connect your own keys for LLM, TTS, STT, or Telephony (e.g. Twilio, Vonage, Telnyx) anytime.
Features
Voice Capabilities
- Telephony: Built-in telephony integration like Twilio, Vonage, Vobiz, Cloudonix (easily add others), with support for transferring calls to human agents
- 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
- Test Mode: Try your agent end-to-end before publishing, with no production calls or data affected
- In-Dashboard Web Calls: Talk to your bot directly while building — no telephony setup required
- QA Node: A built-in workflow node that analyzes prompt quality across your other nodes
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.
Cloud Version
Visit https://www.dograh.com for our managed cloud offering.
📚Documentation
You can go to https://docs.dograh.com for our documentation.
📦 SDKs
- Python SDK — pypi.org/project/dograh-sdk
- Node SDK — npmjs.com/package/@dograh/sdk
🤝Community & Support
👋 Coming from the Better Stack video? Drop your use case in our pinned GitHub Discussion — we read every reply and the founders personally onboard early adopters.
- Slack — the cornerstone of Dograh AI contributions. Connect with maintainers, discuss features before coding, get help with setup, and stay current on contribution sprints.
- GitHub Discussions — share use cases, ask questions, swap workflow recipes.
- GitHub Issues — report bugs or request features.
👉 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
⭐ Star History
📄 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.