Developers_Finally_Got_an_Open-Source_Voice_AI_Platform_Dograh

In this video, we look at Dograh, an open-source voice AI platform for developers that gives you a Vapi-style visual workflow builder with self-hosting, provider choice, recordings, testing, and control over your infrastructure.
We’ll look at why voice AI agents are not just “ChatGPT with a phone number,” how costs stack up across speech-to-text, LLMs, text-to-speech, telephony, and platform fees, and why developers may want an open-source alternative to hosted tools like Vapi, Bland, and Retell.
🔗 Relevant Links
Dograh Repo - https://github.com/dograh-hq/dograh
Self-host with Docker - https://docs.dograh.com/deployment/docker
Dograh - https://app.dograh.com/
❤ More about us
Radically better observability stack: https://betterstack.com/
Written tutorials: https://betterstack.com/community/
Example projects: https://github.com/BetterStackHQ
📱 Socials
Twitter: https://twitter.com/betterstackhq
Instagram: https://www.instagram.com/betterstackhq/
TikTok: https://www.tiktok.com/@betterstack
LinkedIn: https://www.linkedin.com/company/betterstack
📌 Chapters:
0:00 - Stop Renting Your Voice AI Stack
0:26 - Why AI Phone Agents Get Expensive Fast
1:00 - Voice AI Is Not Just ChatGPT With a Phone Number
1:29 - Dograh Demo: Build a Voice AI Agent Locally
1:57 - Creating a Lead Qualification AI Phone Agent
3:36 - What Is Dograh? Open-Source Voice AI Platform Explained
4:11 - Voice AI Agent Workflow
4:35 - Testing, Tracing, Recordings, Analytics, and Deployment
4:47 - Vapi, Bland, and Retell: Fast but Less Control
5:23 - Pipecat and Vocode: Flexible but More Glue
5:50 - Where Dograh Fits for Devs