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openclaw

mlx-audio-server

@openclaw/mlx-audio-server
openclaw
3,632
1015 forks
Updated 3/31/2026
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Local 24x7 OpenAI-compatible API server for STT/TTS, powered by MLX on your Mac.

Installation

$npx agent-skills-cli install @openclaw/mlx-audio-server
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Details

Repositoryopenclaw/skills
Pathskills/guoqiao/mlx-audio-server/SKILL.md
Branchmain
Scoped Name@openclaw/mlx-audio-server

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

npx agent-skills-cli list

Skill Instructions


name: mlx-audio-server description: Local 24x7 OpenAI-compatible API server for STT/TTS, powered by MLX on your Mac. metadata: {"openclaw":{"always":true,"emoji":"🦞","homepage":"https://github.com/guoqiao/skills/blob/main/mlx-audio-server/mlx-audio-server/SKILL.md","os":["darwin"],"requires":{"bins":["brew"]}}}

MLX Audio Server

Local 24x7 OpenAI-compatible API server for STT/TTS, powered by MLX on your Mac.

mlx-audio: The best audio processing library built on Apple's MLX framework, providing fast and efficient text-to-speech (TTS), speech-to-text (STT), and speech-to-speech (STS) on Apple Silicon.

guoqiao/tap/mlx-audio-server: Homebrew Formula to install mlx-audio with brew, and run mlx_audio.server as a LaunchAgent service on macOS.

Requirements

  • mlx: macOS with Apple Silicon
  • brew: used to install deps if not available

Installation

bash ${baseDir}/install.sh

This script will:

  • install ffmpeg/jq with brew if missing.
  • install homebrew formula mlx-audio-server from guoqiao/tap
  • start brew service for mlx-audio-server

Usage

STT/Speech-To-Text(default model: mlx-community/glm-asr-nano-2512-8bit):

# input will be converted to wav with ffmpeg, if not yet.
# output will be transcript text only.
bash ${baseDir}/run_stt.sh <audio_or_video_path>

TTS/Text-To-Speech(default model: mlx-community/Qwen3-TTS-12Hz-1.7B-VoiceDesign-bf16):

# audio will be saved into a tmp dir, with default name `speech.wav`, and print to stdout.
bash ${baseDir}/run_tts.sh "Hello, Human!"
# or you can specify a output dir
bash ${baseDir}/run_tts.sh "Hello, Human!" ./output
# output will be audio path only.

You can use both scripts directly, or as example/reference.