dograh VS pronghorn

If you like Pipecat’s focus on speed, you might also try out our open source, which comes with all the batteries included (knowledge base, telephony/SIP, variables, BYOK any LLM STT TTS, Speech to Speech, etc )

And it's fully OSS- like n8n for voice AI, and you can use it with OpenClaw or Claude code - recently launched MCPs.Github- https://github.com/dograh-hq/dograh, Youtube -https://www.youtube.com/watch?v=sxiSp4JXqws&list=PLDqzGuN7B1...

I've built voice agents before, but when it came to shipping them for production, I couldn't find a platform that worked quickly in 2 minutes - until we started building Dograh. It's an open-source voice AI platform with a visual workflow builder, built-in telephony, and post-call analytics out of the box. Alternative to Vapi, Retell, and Bland, but self-hostable and BSD-2 licensed. You get a canvas where you connect nodes instead of writing Python, so prompt tweaks don't mean a redeploy. Voicemail detection, call transfer, variable extraction, knowledge base, and CRM connectors all come standard. Same feature set whether you self-host or use the managed cloud. It has native support for BYOK (bring your own key) across every layer. Deepgram or Whisper for STT, ElevenLabs or Kokoro for TTS, and any LLM for the brain. Want to run everything locally? Swap in self-hosted models through the UI, no code required. Check it. https://docs.dograh.com/getting-started Youtube link: https://www.youtube.com/watch?v=sxiSp4JXqws Star the Dograh repo ⭐ → https://github.com/dograh-hq/dograh

We built Dograh OSS, an open-source voice AI platform. When we started, we assumed most failures would come from the LLM - bad answers, missed intent, prompt edge cases. So we spent a lot of early effort there.

Looks like everyone is building one of these, I have my own little version that's using streaming STT, it can actually be too fast in some cases, and I have a little ring buffer grabbing audio from before the wake word detection fires (so it can hear "Hey Jarvis, turn on the lights" without deliberate pause) https://github.com/jaggederest/pronghorn/

I've actually been doing this for my own purposes - an adhoc buggy half-implemented low latency version of Project Wyoming from home assistant.

Repo, for those interested: https://github.com/jaggederest/pronghorn/

I find that the core issues really revolve around the audience - getting it good enough that I can use it for my own purposes, where I know the bugs and issues and understand how to use it, on the specific hardware, is fabulous. Getting it from there to "anyone with relatively low technical knowledge beyond the ability to set up home assistant", and "compatible with all the various RPi/smallboard computers" is a pretty enormous amount of work. So I suspect we'll see a lot of "homemade" software that is definitely not salable, but is definitely valuable and useful for the individual.

I hope, over the long to medium term, that these sorts of things will converge in an "rising tide lifts all boats" way so that the ecosystem is healthier and more vibrant, but I worry that what we may see is a resurgence of shovelware.