pretty opinionated in a good way. this feels aimed at teams that care more about control, auditability, and deployment shape than getting the shiniest hosted demo on day one.
Dograh
Open-source, self-hostable voice agent platform
2 ratings5.00
Saves598
CategoryDeveloper Tools
PlatformWeb
PricingFree
Dograh is an open-source voice agent infrastructure that enables users to bring their own speech-to-text, text-to-speech, language models, and telephony integrations. It supports self-hosting or managed cloud deployment, ensuring data sovereignty and compliance for regulated industries. The platform offers a visual flow builder, real-time speech-to-speech interactions, and interoperability with multiple AI models and communication providers.
open-sourceself-hostedtext-to-speech
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CategoryDeveloper Tools
PlatformsWeb
PricingFree
AccountNot confirmed
ListedAugust 2026
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Around the Web
Product Hunt598 source points · 205 comments
Came across this while looking for some self hosted alternative to Vapi and gave it a spin over the weekend. Had a basic agent running in no time, and the fact that it's open source and runs on my own setup is the big win for me. Nice to see a tool like this out in the open.
ritesh2503 · Review on Product Hunt
I am building a voice agent for lead qualification usecase for a friend's business who is running his home interiors company. I am completely new to dev ops like self hosting as well as building voice agents. So far, the MCP tools have been really powerful. I had a voice agent ready in 2 days that we went live with. We are iterating of course as we call more leads but the I think building with MCP tools was really efficient for someone like me. Really appreciate what you guys have built. I love that Dograh is open source and rhat I can self host it. I have found the support from founder prompt and really helpful in the early days of my agent building.
elias_shaik · Review on Product Hunt
It is exciting to see voice AI move toward open source. As these models scale, how are you approaching the challenge of real-time sentiment analysis and behavioral tracking for agents during live calls, and what metrics do you prioritize to measure conversational quality without compromising user privacy?
lucianb · Imported from Product Hunt
How is the latency handled for cascaded systems- for the TTFB - end to end (user stops and then heard the first chunk audio) from lets say one of the many api calls during a 10 turn conversion- 30 api calls to each endpoint - stt, llm , tts - if one of the api calls fails lets say turn 5, sst failed ( null or later then 500 ms response), how your framework is handling 1. Fallback model 2. Retry with same model ? Including edge cases for streaming response error for all the three nodes ( stt, llm , tts )
kumar_gautam · Imported from Product Hunt
Great launch team. Kudos! In the meantime, Id love to know how to catch an agent that gives a bad response. And what does the debugging experience look like if we are tryin to figure out why. ?
mayurmaheshwari · Imported from Product Hunt
Congratulations on the launch! 🎉 If Dograh is fully open source and self-hostable, what’s the best way for an agency or developer to monetize voice agents they build for customers? Can they white-label the solution and charge their own customers?
nihalkumar_dwivedi · Imported from Product Hunt