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Show HN: WordPress for Voice Agents – Unpod.ai (github.com)
11 points by parvbhullar 106 days ago
We just open-sourced Unpod, a full-stack voice AI infrastructure platform.

If you've ever tried to build a production voice agent you know the pain: stitching together STT, LLM, TTS, and telephony is messy, expensive, and every vendor owns a piece of your stack.

https://github.com/parvbhullar/unpod

10 comments

An open-sourced will give teams more control over their voice stack, it is self-hostable, and developer-friendly, instead of being black-box API.

Best for experimenting with AI calling agents, for recruitment bots, Appointment booking agents, support Agent, and other inbound and outbound calling , etc.

Great step toward making voice AI orchestration platform more accessible for developers. Open source platforms like this can really help teams move ahead demo setup and experiment with production grade voice systems.
Very excited and interesting initiative. Voice AI becomes much more practical when the infrastructure layer is flexible and open. Looking forward to see what community develops on top of this.
Nice to see more open infrastructure emerging in the space of voice AI. Making the stack modular and transparent will definitely help developer to do more experiments quickly.
This is exactly what voice AI ecosystem needs. Making the stack transparent and modular will help developers to do experiments and create more reliable voice agents.
Voice AI is evolving quickly, and platforms like this can really help developers focus on the application layer instead to struggle with infra layer.
This is more valuable contribution to the voice ecosystem. Voice AI becomes much easier to develop when the infra layer is flexible and open.
Open sourcing infra tools like this can really help the ecosystem work in better and faster way. Thanks for sharing it with the community.
This is a big step towards simplifying real time voice AI development. Looking forward to see what the community develop with it.
Very interesting approach. The biggest challange in voice AI is not the models - it is getting the whole stack to work smoothly.