dograh-hq/dograh

The open-source, self-hostable alternative to Vapi & Retell — build production voice agents with a visual workflow builder, test them in minutes, and let AI coding assistants help design and edit them through MCP.

📖 Docs  ·  📜 BSD 2-Clause  ·  🌐 中文  ·  🌐 日本語

• 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 by Better Stack — a hands-on look at Dograh

📺 Prefer a 2-minute product walkthrough? Click here.

An honest comparison on the axes that matter most to teams evaluating voice AI platforms.

Note We collect anonymous usage data to improve the product. You can opt out by setting ENABLE_TELEMETRY=false before 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

Note By default the quickstart starts a public *.trycloudflare.com quick tunnel to the API (for inbound telephony webhooks), and signup is enabled. After creating your first account, you can close signup by setting ENABLE_SIGNUP=false in .env and re-running ./start_docker.sh (docker compose restart does not apply .env changes).

⚡ 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@dograh

Then 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.

1. Open http://localhost:3010 in your browser.
2. 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).
3. Click Test Agent.
4. Use Test Audio to talk to your agent in the browser, or Test Chat to iterate faster in text. In Test Chat, you can edit or replay user turns and Dograh will regenerate the agent's replies and node transitions from that point.

🔑 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.

Featured On & Community Validation: Dograh was named #1 Product of the Day on Product Hunt.

Dograh ships with an MCP server, so coding agents can work directly inside your Dograh workspace.

Connect Codex, Claude Code, Cursor, or any MCP client to inspect existing agents, search Dograh docs, fetch node schemas, create new workflows, and save draft edits from natural language.

When asking your coding agent to build a voice agent, share a short script for the use case instead of only a one-line prompt. Include the agent persona, call flow, rules, objection handling, success criteria, and a sample conversation if you have one.

See the MCP guide to connect your assistant.

• Visual workflow builder with start nodes, agent nodes, global instructions, tools, transitions, and end-call outcomes
• Test Agent panel with Test Audio for browser voice testing and Test Chat for fast prompt iteration
• QA node, knowledge bases, webhooks, embeds, and tool calling for production workflows

• Built-in telephony integrations including Twilio, Vonage, Telnyx, Plivo, Vobiz, Cloudonix, and Asterisk ARI
• Human handoff with call transfer on supported telephony providers
• Bring your own LLM, TTS, STT, and telephony providers; store artifacts in bundled MinIO or AWS/S3-compatible storage

• One-command Docker setup for self-hosting
• Python backend and modular provider architecture for customization
• Python and Node SDKs for programmatic agent creation and outbound calls

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.

• Python SDK — pypi.org/project/dograh-sdk
• Node SDK — npmjs.com/package/@dograh/sdk

👋 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

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.

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