Open Sources
Curated repos, tools, and frameworks shaping the developer ecosystem.
Live data from GitHub.
Curated repos, tools, and frameworks shaping the developer ecosystem.
Live data from GitHub.
by dograh-hq
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.
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
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 |
Note We collect anonymous usage data to improve the product. You can opt out by setting
ENABLE_TELEMETRY=falsebefore running the startup script.
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 && curl -o start_docker.sh https://raw.githubusercontent.com/dograh-hq/dograh/main/scripts/start_docker.sh && chmod +x start_docker.sh && ./start_docker.sh
⚡ Prefer an AI agent to set it up for you? If you use Claude Code or Codex, install the official Dograh setup skill and let your agent handle installation, configuration, and troubleshooting — it detects your OS, picks the right deploy path, runs Dograh's own setup scripts, and verifies the result.
# In Claude Code /plugin marketplace add dograh-hq/dograh-plugins /plugin install dograh@dograhThen start a new session and ask it to "set up Dograh" (or run
/dograh-setup). Codex is supported too — see the plugin repo.
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.
🔑 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.
Refer Local Setup
For detailed deployment instructions including remote server setup with HTTPS, see our Docker Deployment Guide.
Visit https://www.dograh.com for our managed cloud offering.
You can go to https://docs.dograh.com for our documentation.
👋 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.
👉 Join us → Dograh Community Slack
We love contributions! Dograh AI is 100% open source and we intend to keep it that way.
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.
Stable Diffusion web UI