Install a local voice interface for Claude Code on macOS Apple Silicon.
npx skills add https://github.com/MDGrey33/memnyx --skill setup-voice
Please help me install this Agent Skill. Skill: setup-voice Source: https://github.com/MDGrey33/memnyx/tree/main/.claude/skills/setup-voice Command: npx skills add https://github.com/MDGrey33/memnyx --skill setup-voice
This Skill removes the friction of typing by letting you interact with Claude Code through a fully local voice pipeline, making hands-free prompting and spoken replies practical for coding sessions.
Ask me to install and configure the setup-voice skill on my macOS Apple Silicon machine so I can talk to Claude Code aloud.
High-intent search queries and answers about installing and using this skill.
You can achieve hands-free coding by setting up a local voice interface that records microphone input and transcribes it with mlx-whisper for offline dictation. The pipeline also uses Kokoro neural voices to speak responses back during your coding sessions.
Yes, mlx-whisper provides fast offline speech-to-text transcription, and Kokoro TTS models generate spoken replies using neural voices. This combination allows you to dictate prompts and hear spoken responses locally without relying on cloud services.
Required dependencies include Claude Code CLI, Homebrew, uv, Python 3.12, sox, and ffmpeg. These tools facilitate microphone capture, audio processing, and the execution of shell scripts needed for transcription and offline synthesis on macOS Apple Silicon.
The voice interface supports continuous voice assistant loops and mid-session context switching for dynamic coding workflows. It also includes serialized multi-session audio playback to ensure multiple concurrent sessions do not overlap or talk over each other.
Multiple concurrent sessions are managed through serialized multi-session audio playback, which prevents sessions from talking over each other. This ensures clear audio output when running several Claude Code voice interactions simultaneously.
Using a local voice AI pipeline with mlx-whisper and Kokoro TTS keeps all speech-to-text and text-to-speech processing offline, ensuring data privacy and low latency. It also offers separate personal and technical voice contexts tailored for development work.
guoqiaoServe OpenAI-compatible audio APIs for speech-to-text and text-to-speech on Apple Silicon.
Blake-JohnAutomate long-running coding across multi-session contexts with structured workflows.
devkeniSynthesize spoken audio from text using the OpenAI Audio API.
elevenlabsTranscribe audio from files, URLs, or microphones using ElevenLabs Scribe.
