Build Voice AI with nemotron-voice-agent
From the repo · “Reference implementation of an end-to-end voice agent built using the NVIDIA Nemotron models”
This tool provides a reference implementation of an end-to-end voice agent built using the NVIDIA Nemotron models, allowing founders to integrate voice AI into their startup
- •When you need to build a conversational interface for your application
- •When you want to leverage pre-trained voice AI models for faster development
- •When you're looking for a customizable voice agent solution for your specific use case
node inference.js --audio_file examples/audio_sample.wav --model_path models/nemotron.tlt
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/nemotron-voice-agent && curl -fsSL https://workflowstacks.com/api/skills/nemotron-voice-agent/claude-skill -o ~/.claude/skills/nemotron-voice-agent/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Build Voice AI with nemotron-voice-agent is a large Python project (~35k lines across 167 code files, plus 52 test files). Setup is light: runs with Docker — add your API keys to .env. Last commit this month, Other license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3src/server.pyWhere the program starts running
- 4pyproject.tomlDependencies and the commands it exposes
- 5.env.exampleThe API keys and settings you must provide
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/nemotron-voice-agent && curl -fsSL https://workflowstacks.com/api/skills/nemotron-voice-agent/claude-skill -o ~/.claude/skills/nemotron-voice-agent/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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