dograh

Live support Run fully real-time voice agents using Gemini’s streaming APIs, without stitching together separate STT + LLM + TTS components. 2. Pre-recorded audio (hybrid voice) Upload real voice clips (greetings, confirmations, etc.), and the agent plays them instantly while using TTS only for dynamic responses. This reduces latency, improves naturalness, and cuts TTS costs. It also includes: - Plug-and-play LLM / STT / TTS (including self-hosted models) - Telephony integrations (Twilio, Vonage, Telnyx) along with Call Transfer - Post-call QA, transcripts, and variable extraction - Observability via Langfuse (OpenTelemetry traces + prompt playground) Try it now: If you have Docker, you can run the below command for a 2-minute setup (no API keys needed out of the box). https://gist.github.com/a6kme/072252bf885270787bbb8376687c67... [ sorry, HN wont let me post the entire command ] Looking Ahead: We’re expanding self-hosted model support: you can already bring any LLM (e.g. Llama, Qwen) or TTS (Kokoro, Voxtral) by configuring API endpoints. We are working on updates that will enable anyone to run everything on a single server - your AI models along with Dograh Orchestration. Looking forward to hearing thoughts of the community.

You're not paying per-minute fees to a middleman wrapping the same APIs you'd call directly. You can set it up with a simple docker command. It comes pre-wired with Deepgram, Cartesia, OpenAI , Speechmatics Sarvam for STT, same for TTS, and OpenAI, Gemini, groq, Openrouter, Azure on the LLM side. Telephony works out of the box with Twilio, Vonage , CLoudonix and Asterisk for both inbound and outbound. There's a hosted version at app.dograh.com if self-hosting isn't your thing. Repo: github.com/dograh-hq/dograh Video walkthrough: https://youtu.be/sxiSp4JXqws We built this out of frustration, not a thesis. The tool is free to use and fully open source (and will always remain so), happy to answer questions about the data or how we built it.

mplate generated by an LLM Agent for a quick get start template for any use case - Drag-and-drop visual agent builder for quick iteration (the thing we wished existed earlier) - Variable extraction layer (name/order/date/etc.) baked into the LLM loop - Built in Telephony integration (Twilio/ Vonage/ Vobiz/ Cloudonix) - Multilingual support end-to-end - Select any LLM TTS STT (add their credits, if any) - AI-to-AI call testing: automatically stress-test an agent before shipping (still a work in progress- so patchy as of now) - Fully Open Source It's built and maintained by YC alumni / exit founders who got tired of rebuilding the same plumbing. Why we open-sourced it: We kept feeling that the space was drifting toward closed SaaS abstractions (VAPI, Retell). Those are good for demos, but once you need data controls, privacy or self/offline deployment, you end up stuck. We wanted a stack where you can see every part, fork it, self-host it, and patch it as needed. Try it: - Repo: https://github.com/dograh-hq/dograh This spins up a basic multilingual agent with everything pre-wired. Who this is for: - If you are looking for self hosting a Vapi like platform for Data Privacy etc. - Anyone trying to build production-grade voice agents without reinventing audio plumbing. - If you’ve tried to glue STT→LLM→TTS manually, you probably know the exact pain this is built for Happy to answer technical questions, show the architecture, or hear how we can improve the product.