voice-ai

Build Voice AI with nemotron-voice-agent

Get a reference voice agent implementation for your startup, built with NVIDIA Nemotron models, for founders needing voice AI.

From the repo · “Reference implementation of an end-to-end voice agent built using the NVIDIA Nemotron models”

246 stars+5★ this week68 forksTypeScriptGuide quality 9/10 · reviewed Jul 2Updated 10/21/2026100% free · open source
What it does

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 to use it
  • •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
Ready-to-paste prompt
node inference.js --audio_file examples/audio_sample.wav --model_path models/nemotron.tlt
Heads up: Ensure you have the necessary NVIDIA dependencies installed, including the NVIDIA TensorRT and cuDNN libraries, to run the Nemotron models
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install
Claude Code
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.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Build Voice AI with nemotron-voice-agent works
Codeflow
Free to inspect

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.

Size
Large codebase
~35k lines · 167 code files · ~5 h to skim
Setup
Light setup
Runs with Docker — add your API keys to .env.
Runs on
Python · Docker
Needs API keys (.env)
Python 83%TypeScript 11%SCSS 2%Shell 1%Jupyter Notebook 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    src/server.py
    Where the program starts running
  4. 4
    pyproject.toml
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
src/Core code — the actual logic119 files
skills/Prompts, skills & agent definitions29 files
client/Frontend / UI54 files
docs/Documentation22 files
benchmarking_tools/Folder22 files
docker/Deployment / infrastructure14 files
scripts/Helper scripts2 files
models/Data models & types1 files
READMEHas testsDocumentedCI checksDocker readyOther licenseUpdated this month
Quick Actions
Details
Creator
NVIDIA-AI-Blueprints
Language
TypeScript
Category
voice-ai
Published
1/15/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/nemotron-voice-agent.svg)](https://workflowstacks.com/skills/nemotron-voice-agent?utm_source=github&utm_medium=badge)
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