--- name: mlx-whisper description: Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key). homepage: https://github.com/ml-explore/mlx-examples/tree/main/whisper --- # MLX Whispe
--- 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.
--- name: mlx-tts description: Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally. author: guoqiao metadata: {"openclaw":{"always":true,"emoji":"🦞","homepage"
--- name: mlx-stt description: Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally. version: 1.0.7 author: guoqiao metadata: {"openclaw":{"always":true,"e
Set up mlx-whisper as the local audio transcription engine for OpenClaw on Apple Silicon Macs (M1/M2/M3/M4). Automatically transcribes voice notes sent via T...
Full local AI inference stack on Apple Silicon Macs via MLX. Includes: LLM chat (Qwen3-14B, Gemma3-12B), speech-to-text ASR (Qwen3-ASR, Whisper), text embedd...
Local Qwen3-TTS speech synthesis on Apple Silicon via MLX. Use for offline narration, audiobooks, video voiceovers, and multilingual TTS.
MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, tool calling, LoRA fine-tuning, and embeddings.
Local speech-to-text with Parakeet MLX (ASR) for Apple Silicon (no API key).
Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).
一键部署支持Apple Silicon的本地LLM与中文向量Embedding服务，含统一API网关及便捷启动管理脚本。
Local text-to-speech using Qwen3-TTS with mlx_audio (macOS Apple Silicon) or qwen-tts (Linux/Windows). Privacy-first offline TTS with natural, realistic voic...
Download audio from a GETTR post or streaming page and transcribe it locally with MLX Whisper on Apple Silicon (with timestamps via VTT). Use when given a GE...
Generate high-quality music on Apple Silicon Macs using ACE-Step 1.5 with MLX backend, supporting custom prompts, durations, and output formats.
Parse PDF documents with MinerU MCP to extract text, tables, and formulas. Supports multiple backends including MLX-accelerated inference on Apple Silicon.
Token-based context compaction for local models (MLX, llama.cpp, Ollama) that don't report context limits.
Local image generation using Apple MLX via mflux — FLUX.2 Klein 4B (fast, Apache 2.0) and Z-Image Turbo (quality) models
YouTube video summarizer with speaker detection, formatted documents, and audio output. Works out of the box with macOS built-in TTS. Optional recommended tools (pandoc, ffmpeg, mlx-audio) enhance qua