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Dograh Review

Dograh is an open-source workflow builder for voice agents that allows integration with various inbound and outbound communication channels.

shipped Aug 12, 2026agentsfreemium
Domain rating33Monthly visits300/mo
agentsvoiceresearch
Dograh — product screenshot

Why it matters

1Dograh is an open-source voice AI platform with a visual workflow builder.
2It supports deployment on-premises or in your own cloud environment, emphasizing security and compliance.
3Dograh offers a freemium pricing model, including a free tier.
4The platform integrates with 20+ technologies including Gemini, OpenAI, and Twilio.

About Dograh

Business Model
Open Source
Platforms
Web, API
Target Audience
Developers and organizations looking for a compliant and customizable voice agent solution.
API DocsGitHubOpen Source

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is Dograh?

Dograh is an open-source voice AI platform developed by Dograh HQ that enables developers, product teams, and organizations to build and deploy AI voice agents without code. It offers a visual, drag-and-drop workflow builder for designing complex conversational flows and supports deployment on-premises or in a user's own cloud environment, prioritizing data sovereignty and compliance. The platform provides real-time audio-to-audio processing and integrates with various communication channels for both inbound and outbound voice interactions.

features

Key Features of Dograh

Dograh provides a comprehensive set of features for building and managing AI voice agents, focusing on flexibility, compliance, and ease of use. Its architecture supports both self-hosted and managed deployments, catering to diverse organizational needs.

  • Open-source visual workflow builder for no-code agent creation.
  • Integration with various inbound and outbound communication channels (e.g., Plivo, Twilio, Cloudonix).
  • Deployment options for voice agents on-premises or in a user's own cloud environment.
  • Support for real-time audio-to-audio processing with models like Gemini Live and OpenAI Realtime.
  • Emphasis on data sovereignty and compliance, including HIPAA alignment and DPA availability.
  • Model Context Protocol (MCP) server for enhanced agent building and natural language workflow creation.
  • Official Python & TypeScript SDKs for programmatic interaction and customization.
  • Multi-tenancy support for telephony providers, allowing registration of multiple services.
  • Dynamic call transfer capabilities for seamless handoffs to existing PBX systems.
  • Timestamped transcripts and post-call automation features like summaries and CRM updates.

use cases

Who Should Use Dograh?

Dograh is designed for a broad range of technical and operational teams seeking to implement customizable and compliant voice AI solutions. Its open-source nature and self-hosting capabilities make it particularly attractive for organizations with strict data requirements.

  • Developers and Engineering Teams: For building and deploying AI voice agents without extensive coding, leveraging its open-source framework and SDKs.
  • Product and Operations Teams: To automate inbound and outbound calls for sales, support, lead qualification, and appointment scheduling.
  • SaaS Companies and Founders: Seeking a flexible, self-hostable voice AI solution to integrate into their products or services.
  • Teams in Regulated Industries (Fintech, Healthtech, Insurance, Banking, Legal, Government): Requiring data sovereignty, HIPAA alignment, and on-premises deployment for compliance.
  • Support and Sales Teams: For automating routine inquiries, outbound campaigns, and post-call CRM updates and summaries.

how to use

How to Use Dograh

Dograh facilitates the creation of AI voice agents through a visual workflow builder, allowing users to design conversational flows and integrate them with communication channels. Getting started typically involves setting up the environment and then designing the agent's logic.

  • 1Step 1: Environment Setup: Install Dograh on-premises or configure it within your cloud environment, following the documentation at https://docs.dograh.com/getting-started.
  • 2Step 2: Telephony Integration: Register and configure your preferred telephony providers (e.g., Twilio, Plivo, Cloudonix) within Dograh's central management system.
  • 3Step 3: Workflow Design: Utilize the visual, drag-and-drop builder to design conversational flows, defining agent responses, actions, and integrations.
  • 4Step 4: Model Configuration: Select and integrate large language models (LLMs) and speech-to-text/text-to-speech (STT/TTS) services (e.g., OpenAI, Gemini, ElevenLabs).
  • 5Step 5: Testing and Deployment: Test the voice agent's functionality within the platform and deploy it to handle inbound or outbound calls.
  • 6Step 6: Post-Call Automation: Configure CRM integrations and post-call actions such as summarization or data updates.

pricing

Dograh Pricing & Plans

Dograh operates on a freemium business model, offering a free tier that provides access to its core open-source workflow builder and self-hosting capabilities. Specific pricing for managed deployments or advanced features is available upon request, with self-serve credits introduced in July 2026 (v1.42.0).

  • Freemium: Free access to the open-source workflow builder and self-hostable voice agent deployment.

Pros

  • +100% open-source, providing full transparency and eliminating vendor lock-in.
  • +Supports self-hosting on-premises or in a user's own cloud environment, ensuring data sovereignty and compliance (e.g., HIPAA, GDPR).
  • +Features a visual, drag-and-drop workflow builder for no-code voice agent development.
  • +Integrates with a wide array of LLMs, STT/TTS services, and telephony providers (20+ integrations).
  • +Offers real-time audio-to-audio processing and dynamic call transfer capabilities.
  • +Active GitHub repository with over 4300 stars as of June 2026, indicating strong developer interest and community support.

Cons

  • −While offering a freemium model, specific pricing for managed deployments or advanced features is not publicly detailed and requires inquiry.
  • −The learning curve for configuring self-hosted environments and integrating various services might be steeper for non-technical users.
  • −As an open-source project, enterprise-grade support might depend on community contributions or specific vendor offerings.
  • −Initial challenges with prompt quality and webhook configurations have been noted by users, requiring refinement.

Similar Tools

Dograh vs Competitors

Dograh distinguishes itself in the voice AI market by offering a 100% open-source and self-hostable platform, contrasting with many proprietary solutions. This approach provides users with greater control over data, infrastructure, and customization.

1
RasaOn Stork

Provides an open-source framework for building highly customizable, context-aware AI assistants with advanced dialogue management.

While Rasa offers powerful tools for defining conversational flows, it is a developer framework requiring more coding and setup compared to Dograh's implied visual workflow builder. You gain deep control and flexibility over the AI's behavior and deployment.

2
BotpressOn Stork

Offers a comprehensive open-source platform with a visual flow editor for building, deploying, and managing conversational AI, including voice.

Botpress provides a similar visual workflow building experience and self-hosting capabilities to Dograh. It might offer a broader feature set for general conversational AI, potentially requiring more configuration if solely focused on voice agents.

3
Voiceflow↗

Features a collaborative, drag-and-drop visual canvas for designing, prototyping, and launching complex conversational AI experiences.

Voiceflow excels in visual workflow design but is primarily a hosted SaaS platform, meaning you trade off Dograh's emphasis on on-premises or own cloud deployment for a more managed and user-friendly interface.

4
Mycroft AIOn Stork

An open-source voice assistant platform that allows users to build and deploy custom voice skills on various devices, emphasizing privacy and user control.

Mycroft AI provides a complete open-source voice assistant system, which is a broader scope than just a workflow builder for voice agents. While it allows for custom skill development, the 'workflow building' aspect might be less abstracted and more integrated into the overall assistant development compared to Dograh.

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