Dograh
What is Dograh?
Dograh is an open-source platform for building and running voice AI agents. Developers and operational teams can create conversation flows visually, test them in a browser, and connect telephone channels when ready. The platform supports configurable speech and language providers, external tools, and webhook-based data exchange. Its self-hosted deployment gives teams control over the orchestration software and infrastructure, with managed hosting available separately.
How to use Dograh?
- Run the documented self-hosted setup or open Dograh's hosted platform.
- Create an agent, describe its purpose, and review the generated conversation flow in the editor.
- Start a Web Call, inspect the transcript and transitions, then revise prompts before connecting production channels.
Dograh's Core Features
Visual Workflow Builder: Edit conversation nodes, prompts, and pathways in a graph.
Generated Starting Flows: Turn a use-case description into an initial agent workflow.
Browser Web Calls: Test the voice pipeline without first provisioning a telephone number.
Telephony Connections: Connect supported providers to receive or initiate telephone calls.
Webhook Data Handoffs: Send extracted call information and outcomes to your backend.
Provider Configuration: Choose speech and language components for the agent pipeline.
Pre-recorded Audio: Combine prepared human audio clips with generated speech.
MCP Workspace Access: Let supported AI assistants inspect agents and search Dograh documentation.
Self-hosted Deployment: Run the open-source orchestration stack on infrastructure you control.
Dograh's Use Cases
- #1
A developer prototypes an appointment-booking voice assistant in a browser.
- #2
A support team connects an inbound voice workflow to its phone system.
- #3
An operations team sends structured call outcomes to an internal backend.
- #4
An ecommerce team connects order APIs to a custom customer-service agent.
- #5
An engineering team deploys voice orchestration inside its own infrastructure.
- #6
A developer uses an MCP-connected assistant to inspect existing agent definitions.
Frequently Asked Questions
Analytics of Dograh
Monthly Visits Trend: Oct 2025 - Oct 2026
Traffic Sources
Top Regions
| Region | Traffic Share |
|---|---|
| India | 55.62% |
| United States | 9.47% |
| Germany | 6.08% |
| France | 3.06% |
| Pakistan | 2.73% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| dograh | 3.1K | $1.30 |
| deepgram rivals | 260 | -- |
| dograh ai | 1.5K | $0.87 |
| dograh ui | 130 | -- |
| doghra ai | 530 | -- |
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