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Dograh
Open-source, self-hostable platform to build and deploy AI voice agents with customizable speech and telephony providers.
$5Starting price
51KMonthly visits
29Popularity
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 traffic & engagement
dograh.com · third-party estimates from Similarweb
Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 202651K-10% MoM12-month high 96K (Jun 2026)
Rank among AI websites#2,649▼ 127 vs last monthof 8,652 tools on aitoolnavio™
Top marketIndia32.3%Top 5 countries bring 63% of visits
Average visit33sTime on site per visit
Pages per visit2.44More than 69% of AI sites
Bounce rate39%Lower than 51% of AI sites
Similarweb global rank#598,635#127,343 in India
Traffic trend
Last 4 months · grows by one month every month
- Jun 202696K
- Jul 202666K−31.6%
- Aug 202657K−12.9%
- Sep 202651K−10%
Where visitors come from
Share of visits by channel
No measurable traffic from Paid Referrals.
Top countries
Share of visits · estimated visits
Other countries: 37.4%
Visits sent by AI assistants
How people reach this site from other AI tools
163 a month · 0.3% of all visits
Compared with similar tools
Automation & Agents · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.
