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Dograh

About Dograh
Dograh is an open-source, self-hostable voice agent platform designed as an alternative to hosted services like Vapi and Retell. It enables teams to build and deploy AI-powered voice agents using their own choice of speech-to-text, large language model, text-to-speech, and telephony providers, including fully on-premise deployments. The platform supports both cascaded pipelines and direct speech-to-speech models for ultra-low latency conversations across over 70 languages. Dograh includes a Model Context Protocol server, allowing developers to spin up and configure voice agents directly from tools like Claude Code or Cursor. Built for regulated industries, it handles data sovereignty, HIPAA, GDPR, and SOC 2 compliance within the user’s own infrastructure. This makes it suitable for organizations requiring strict control over data and compliance standards.
Key features
- Open-source and self-hostable
- Supports customizable STT, LLM, TTS, and telephony providers
- Enables fully on-premise deployments
- Supports cascaded pipelines and direct speech-to-speech models
- Ultra-low latency conversations across 70+ languages
- Includes Model Context Protocol server for agent configuration
- Handles data sovereignty and compliance (HIPAA, GDPR, SOC 2)
- Designed for regulated industries and jurisdictions
Use cases
- Building custom AI voice agents for customer support
- Deploying on-premise voice agents for data-sensitive industries
- Creating multilingual voice agents for global communication
Pros
- Open-source and self-hostable, enabling full control over data and infrastructure
- Supports over 70 languages with both cascaded pipelines and direct speech-to-speech models
- Built-in Model Context Protocol server for agent deployment via tools like Claude Code or Cursor
- Designed for regulated industries with compliance features like HIPAA, GDPR, and SOC 2
- Offers three deployment options: self-hosted, managed cloud, or private cloud within user's VPC
Cons
- Requires technical expertise to set up and manage, particularly for on-premise deployments
- LLM swapping is currently in beta, limiting flexibility for some use cases
- Self-hosting may involve higher upfront infrastructure costs compared to hosted solutions
Frequently asked questions about Dograh
What is Dograh and what does it do?
Dograh is an open-source, self-hostable voice agent platform that allows teams to build and deploy AI-powered voice agents using their own speech-to-text, LLM, text-to-speech, and telephony providers. It supports both cascaded pipelines and direct speech-to-speech models for low-latency conversations.
Who is Dograh suitable for?
Dograh is designed for organizations requiring strict data control and compliance, such as those in regulated industries like healthcare, finance, or government, as well as teams needing multi-language support and customizable voice agent workflows.
How does Dograh handle data privacy and compliance?
Dograh ensures data never leaves the user's infrastructure, supporting on-premise, private cloud, or self-hosted deployments. It is built to comply with standards like HIPAA, GDPR, SOC 2, and ISO 27001, allowing organizations to maintain their existing compliance certifications.
What deployment options does Dograh offer?
Users can deploy Dograh in three ways: self-hosted on their own servers, managed cloud hosted by Dograh, or deployed within their own VPC with Dograh handling operations. This flexibility caters to different infrastructure and compliance needs.
Can Dograh integrate with existing AI models and tools?
Yes, Dograh supports integration with a wide range of providers for speech-to-text, LLM, text-to-speech, and telephony, including open-source and proprietary models. It also includes a Model Context Protocol server for agent deployment via tools like Claude Code or Cursor.
What are the main advantages of using speech-to-speech in Dograh?
Speech-to-speech in Dograh reduces latency by eliminating the text round-trip of cascaded pipelines, enabling real-time, fluid conversations with natural turn-taking and interruption handling. It supports ultra-low latency and works across over 70 languages.
Dograh Website Engagement
Last Update: 9 days ago
Monthly Traffic
Traffic Sources
Traffic Share By Country
- India38.9%
- United States21.7%
- Pakistan4.4%
- Colombia3.3%
- Nigeria2.5%