voice-ai

local-voice-ai: Voice AI for Startups

Get local voice AI with llama-cpp and more.
701 stars208 forksTypeScriptGuide quality 8/10Updated 8/28/2026100% free · open source
What it does

Local voice AI powered by llama-cpp, Kokoro, Nemotron STT, and LiveKit allows founders to integrate voice AI into their applications without relying on cloud services.

When to use it
  • When developing voice-controlled applications for areas with poor internet connectivity
  • When integrating voice AI into an existing application with strict data privacy requirements
  • When prototyping a voice-controlled product that requires low-latency responses
Ready-to-paste prompt
Use the `local-voice-ai --recognize 'Hello, how are you?'` command to test speech recognition capabilities
Heads up: Make sure to install the required dependencies, including `libllvm-dev` and `libopus-dev`, to successfully compile the llama-cpp library and avoid compilation errors
Saves to your device
Use with Claude
New

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

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/local-voice-ai && curl -fsSL https://workflowstacks.com/api/skills/local-voice-ai/claude-skill -o ~/.claude/skills/local-voice-ai/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 local-voice-ai: Voice AI for Startups works
Codeflow
Free to inspect

Local-voice-ai: Voice AI for Startups is a medium Python project (~6.8k lines across 62 code files, plus 18 test files). Setup is light: runs with Docker. Last commit this month, MIT license, has a test suite.

Size
Medium codebase
~6.8k lines · 62 code files · 57 min skim
Setup
Light setup
Runs with Docker.
Runs on
Python · Docker
No API keys detected
Python 77%TypeScript 20%Dockerfile 1%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    run.py
    Where the program starts running
  3. 3
    pyproject.toml
    Dependencies and the commands it exposes
  4. 4
    local_voice_ai/__init__.py
    Inside local_voice_ai/ — the main logic begins here
What's in each folder
local_voice_ai/Core code — the actual logic25 files
frontend/Frontend / UI68 files
tests/Tests — proof it works18 files
.github/CI / automation (GitHub Actions)1 files
READMEHas testsThin docsCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
ShayneP
Language
TypeScript
Category
voice-ai
Published
4/29/2025

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