Show HN: Local TTS for OpenClaw on Apple Silicon (MLX-Powered, Zero Setup) (github.com)

A new local Text-to-Speech (TTS) plugin for OpenClaw, designed specifically for Apple Silicon Macs (M1 and later), has been released, leveraging Apple's MLX machine learning framework. This plugin is notable for enabling users to set up TTS capabilities with zero configuration hassle, as it utilizes a managed Python environment and automatically handles installation and server management tasks. The plugin provides access to multiple TTS models, including Kokoro-82M for multilingual support and Qwen3-TTS for high-quality Chinese output. The significance of this development lies in its optimization for Apple’s unified memory architecture, allowing seamless performance for TTS without needing external dependencies such as NVIDIA GPUs. The MLX-powered plugin offers important functionalities, including real-time configuration and the ability to auto-start, along with detailed memory and status management. This makes TTS more accessible on Apple devices, while users on other platforms may need to resort to different solutions. With its streamlined process and effective models, this plugin stands to enhance the TTS experience for developers and consumers within the AI/ML community.