dograh VS pipecat-esp32

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.

I also have been working with Daily on https://github.com/pipecat-ai/pipecat-esp32

I see so much potential if I can make hardware hacking + WebRTC easy. Not just for AI assistants but security cameras + robotics. If anyone has questions/ideas/feedback here to help :)