Hey Product Hunt, I'm Pritesh, one of the makers of Dograh.
Dograh is an open source platform for building voice AI agents - calling agents that answer calls, book appointments, qualify leads, or run payment reminders over the phone. Here's the problem we kept hitting. AI is getting locked up. Closed platforms make you rent your own agents on their cloud, at their price. And right now big labs are lobbying to restrict open source AI itself. We run on one belief: no company should own voice AI. So from day 0 we open sourced every line. BSD-2 license, one command to install, nothing held back, nothing gated. Everything runs on your own server, and it's yours. You build phone agents and also own the whole stack. That is the difference. There is no platform to rent here. No per-minute fee, no gated tier. Bring your own keys, or run local models completely offline, even air-gapped. And it's MCP native - connect Claude Code and build a voice agent by chatting with it. Inside you still get everything the closed platforms sell:Visual flow builder - no glue codeReal time speech to speech - 70+ languages with mid-call switchingTelephony + warm handoff to a humanCall recordings with automatic QAFree REST APIWhy that matters:The payoff is ownership - your only cost is your model billYour data never leaves your servers - compliance gets simpleNo glue code - you ship in hours It fits developers and agencies building agents for clients or their internal use case, and compliance-heavy teams in healthcare, finance, and collections. Common uses today include appointment booking, lead qualification, support lines, payment reminders. We are a small team. A star on GitHub or honest feedback here does more for us than you would think. Install it, break it, tell me what's missing. I'm here all day. But first, try a Dograh voice agent now.
PH 用户
How does the human handoff work when an agent reaches a conversation it cannot confidently handle?
PH 用户
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?
PH 用户
This is a great direction for voice AI!
Do you have better support for multi-step conversations as well?
PH 用户
At floworks, we tried a few voice agent platforms before landing on Dograh, and the self hosted option made it a no brainer. Feels like it's built by people who actually build voice agents themselves. Excited to see where this goes.
Dograh is an open source platform for building voice AI agents - calling agents that answer calls, book appointments, qualify leads, or run payment reminders over the phone.
Here's the problem we kept hitting. AI is getting locked up. Closed platforms make you rent your own agents on their cloud, at their price. And right now big labs are lobbying to restrict open source AI itself. We run on one belief: no company should own voice AI.
So from day 0 we open sourced every line. BSD-2 license, one command to install, nothing held back, nothing gated. Everything runs on your own server, and it's yours. You build phone agents and also own the whole stack.
That is the difference. There is no platform to rent here. No per-minute fee, no gated tier. Bring your own keys, or run local models completely offline, even air-gapped. And it's MCP native - connect Claude Code and build a voice agent by chatting with it.
Inside you still get everything the closed platforms sell:Visual flow builder - no glue codeReal time speech to speech - 70+ languages with mid-call switchingTelephony + warm handoff to a humanCall recordings with automatic QAFree REST APIWhy that matters:The payoff is ownership - your only cost is your model billYour data never leaves your servers - compliance gets simpleNo glue code - you ship in hours
It fits developers and agencies building agents for clients or their internal use case, and compliance-heavy teams in healthcare, finance, and collections. Common uses today include appointment booking, lead qualification, support lines, payment reminders.
We are a small team. A star on GitHub or honest feedback here does more for us than you would think.
Install it, break it, tell me what's missing. I'm here all day.
But first, try a Dograh voice agent now.
Do you have better support for multi-step conversations as well?