Visual voice-agent workflow builder
Build production voice agents with a no-code workflow builder for inbound and outbound calling. Workflows can include call logic, webhooks, and pre-call steps such as fetching CRM context.
Dograh
Freemium
Dograh é uma plataforma de código aberto e auto-hospedável para criar e implantar agentes de voz em produção. Conecta telefonia, fala, modelos de linguagem, texto para fala, fluxos de trabalho e observabilidade na sua infraestrutura ou na nuvem gerenciada da Dograh.
O que é Dograh?
Dograh is an open-source, self-hostable platform for building production voice agents. Its workflow builder connects telephony with speech-to-text, language models, text-to-speech, webhooks, and related call logic, while also supporting direct speech-to-speech pipelines.
Organizations can run the stack on their own servers, inside a private cloud or VPC, or use Dograh’s managed cloud. The platform is positioned for teams that want control over model providers and data location, including regulated organizations with requirements around data residency and auditability.
O que Dograh pode fazer?
Provider-flexible voice stack
Select providers for telephony, speech-to-text, language models, and text-to-speech, or replace the multi-step cascade with a speech-to-speech model. The site lists integrations including OpenAI, Google, Groq, OpenRouter, Azure, AWS, Hugging Face, Plivo, Telnyx, Twilio, Vonage, Asterisk, and multiple speech providers.
MCP-native agent management
Dograh ships a Model Context Protocol server that lets compatible clients such as Claude Code, OpenClaw, Cursor, and Codex create, modify, and deploy voice agents from an IDE or agent runtime.
Speech-to-speech operation
Audio-to-audio pipelines avoid the text round trip of a conventional STT, LLM, and TTS cascade. Dograh describes this mode as supporting real-time turn-taking and interruption handling, with Gemini and GPT Realtime options shown on the site.
Hybrid prerecorded and TTS responses
Agents can combine prerecorded voice clips with live text-to-speech in the same cloned voice. A prerecorded line is used when it fits the interaction, with TTS available for responses that require generation.
Self-hosted and private deployment
The full stack can run on a customer’s servers, in a private cloud or VPC, or in a fully air-gapped environment. Dograh also offers managed cloud and private-cloud operations, with the private option keeping deployment inside the customer’s environment.
Casos de uso
“Customer support calling”
Create inbound or outbound support agents that handle voice interactions using configurable call workflows and connected telephony providers.
“Real estate lead qualification”
Use voice agents to contact or respond to property leads, gather qualifying information, and automate an initial lead-generation workflow.
“Outbound campaigns and reminders”
Build outbound calling flows for activities such as sales outreach, event invitations, or EMI reminder and soft-collection scripts.
“Healthcare and legal intake”
Use voice agents for patient scheduling, reminders, support automation, or law-firm call intake and routing, with deployment options intended for organizations managing sensitive information.
“Insurance, finance, and government operations”
Deploy claim-status, banking, fintech, or public-sector voice workflows within an organization’s infrastructure when data residency and an existing compliance perimeter are important considerations.
Perguntas frequentes
How can Dograh be deployed?
Dograh can be run on the customer’s own servers, used as a managed cloud service, or deployed and operated inside the customer’s VPC. The site also describes fully air-gapped and in-perimeter deployments for supported environments.
Can teams use their own AI models and providers?
Yes. Dograh is designed around bringing your own models and selecting providers for telephony, speech-to-text, language models, and text-to-speech. The site also lists self-hosted options such as Whisper, Voxtral, Kokoro, and Chatterbox; it notes that LLM swapping for self-hosted models is in beta.
What does the MCP integration do?
Dograh provides an MCP server that compatible clients can use to create, modify, and deploy voice agents. The site names Claude Code, OpenClaw, Cursor, and Codex as examples of clients or runtimes that can connect to it.
Does Dograh support speech-to-speech agents?
Yes. In addition to the conventional STT-to-LLM-to-TTS cascade, Dograh supports speech-to-speech pipelines in which audio is sent in and audio is returned directly.
Is there a free way to use Dograh?
The self-hosted open-source platform is described as free forever with no platform limits. Dograh also offers managed options, including usage-based cloud service, committed volume, and custom private or on-premise plans.
Informações rápidas
- Category
- Open-source voice agent infrastructure
- Deployment
- Self-hosted, managed cloud, or managed private cloud
- Workflow modes
- STT → LLM → TTS cascade and speech-to-speech
- Automation interface
- Model Context Protocol (MCP) server
- License
- BSD 2-Clause for the self-hosted open-source platform
- Pricing model
- Free self-hosted edition; paid usage-based, volume, and enterprise options
Análise de tráfego de Dograh
Os dados de tráfego são apenas para referência.
- Classificação do domínio
- 36
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