Closed voice platforms make you rent your own agents. Dograh is completely open source- nothing is gated. Visual flow builder, add your model key across 30+ integrations or use local models, telephony, human transfer, and advanced QA & monitoring - all free to self-host in one command. Also connect your claude code with MCP to build voice agents for a use case or call recordings.
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 code
Real time speech to speech - 70+ languages with mid-call switching
Telephony + warm handoff to a human
Call recordings with automatic QA
Free REST API
Why that matters:
The payoff is ownership - your only cost is your model bill
Your data never leaves your servers - compliance gets simple
No 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.
Congratulations @pritesh_kumar3 on the launch. Love the flexibility on the hosting and the models across the stack.
Very interesting! Am I correct in understanding that it’s possible to build a voice AI based on your service and make calls worldwide? I need to make reservations by phone.
Love the open-source approach here. Being able to self-host the full stack and bring your own models makes voice agents much more flexible.
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. ?
Dograh looks great. Can Dograh agents call APIs and take actions during a conversation?
congratulations on the launch. Good product for enterprises who want to self hosted voicebot.
Hi Team,
Congrats on the launch!
A question here, what changes when the caller is on a browser rather than a phone?
As a CTO/Solution Architect, I checked how Dograh delivered the outcome and am very happy with them.
Best of luck.
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 )
@pritesh_kumar3@sandeep_vemu@a6kme1 love the mission behind creating wildly applicable open source offerings. Maybe its an odd question but I am curious - what is the pathway toward revenue generation - is the goal to primarily capture some big fish on the enterprise side? Anyways - killer launch - big fan of what you're doing - following the product / following along!
Congratulations on the launch @sabiha_khan4 ! Curious to know which major sectors you’re seeing initial traction in. Also, are there any limitations around regional languages or specific geographies?
We’re having an incredible launch day, and we want to give a massive shoutout to Nuseir Yassin (Nas Daily) for stopping by our thread with somesharp questions on voice orchestration!
For anyone following along or asking similar questions about building production-ready AI voice agents with Dograh: • Seamless Human Handoff: Native escalation and live-agent takeover protocols so your voice agents fall back safely whenever human intervention is needed.
• Bring any Models & Telephony: Easily swap between underlying ai models and telephony providers without changing your stack.
• Developer-First & Open Source: Built by devs, ex CTO's , YC alum - we live and breathe technology and open source
Drop any technical questions below and we’ll answer them live! ⚡
Congrats, team! Long-awaited launch! Could you add more built-in observability around latency, token usage, model performance, and call quality?
Open source voice agents with this much flexibility is 🔥 The fact that you can self-host, use local models, and connect Claude Code via MCP makes this especially interesting. Congrats on the launch! 🚀
About Dograh on Product Hunt
“The open source VAPI alternative”
Dograh launched on Product Hunt on August 12th, 2026 and earned 542 upvotes and 150 comments, earning #1 Product of the Day. Closed voice platforms make you rent your own agents. Dograh is completely open source- nothing is gated. Visual flow builder, add your model key across 30+ integrations or use local models, telephony, human transfer, and advanced QA & monitoring - all free to self-host in one command. Also connect your claude code with MCP to build voice agents for a use case or call recordings.
Dograh was featured in Open Source (68.8k followers), Developer Tools (518.4k followers), GitHub (41.4k followers) and Audio (2.1k followers) on Product Hunt. Together, these topics include over 128.6k products, making this a competitive space to launch in.
Who hunted Dograh?
Dograh was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Dograh stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
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 code
Real time speech to speech - 70+ languages with mid-call switching
Telephony + warm handoff to a human
Call recordings with automatic QA
Free REST API
Why that matters:
The payoff is ownership - your only cost is your model bill
Your data never leaves your servers - compliance gets simple
No 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.