Product Thumbnail

Dograh

The open source VAPI alternative

Open Source
Developer Tools
GitHub
Audio
Visit WebsiteSee on Product HuntGithubTwitter

Hunted byRohan ChaubeyRohan Chaubey

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.

Top comment

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.

Comment highlights

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! 🚀

Congrats on the launch. Can teams customize the QA metrics and scoring rules for different industries or call types?

How does the human handoff work when an agent reaches a conversation it cannot confidently handle?

The ability to bring your own model keys across 30+ integrations makes this feel much more developer-friendly.

@pritesh_kumar3 This looks very promising. Will users be able to build agents without writing any code

Hey guys, congratulations on the launch! Curious to know how are you guys priced compared to Vapi or Retell.

Been using Dograh for a few months now, it’s a really awesome product, and support from the team has been great!
Awesome launch! The warm handoff to a human feature looks super useful. How seamless is the transition for the caller during a live agent transfer?

The ability to run local models and avoid per-min platform fees is huuuge. But what's best is that the founders are incredibly knowledgeable and always willing to help with setup, best configs or answer any kind of questions. Excited to see where this is going!!

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?

Have heard good reviews about Dograh. Also rooting the founders personally being from IITD.

Congratulations on the launch. Operationally, what’s the difference between scaling inbound versus outbound?

@pritesh_kumar3 Congratulations. And happy product launch.

This is a great direction for voice AI!

Do you have better support for multi-step conversations as well?

About Dograh on Product Hunt

The open source VAPI alternative

Dograh launched on Product Hunt on August 12th, 2026 and earned 348 upvotes and 86 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 (68.7k followers), Developer Tools (517.4k followers), GitHub (41.4k followers) and Audio (2.1k followers) on Product Hunt. Together, these topics include over 124.5k 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.