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openwakeword

Detect wake words offline using custom ONNX models.

1|Updated Feb 8, 2026
Search Tags:#privacy#open-source#onnx#wake-word#voice activation
One-click install
npx skills add https://github.com/framerslab/agentos-skills --skill openwakeword
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openwakeword
Source: https://github.com/framerslab/agentos-skills/tree/main/registry/curated/openwakeword
Command: npx skills add https://github.com/framerslab/agentos-skills --skill openwakeword

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for hands-free voice activation, allowing users to trigger commands without touching their devices, by utilizing open-source ONNX models for wake-word detection.

Core Features & Use Cases

  • Offline Wake-word Detection: Runs completely offline, ensuring privacy and eliminating the need for cloud connectivity.
  • Custom ONNX Models: Supports any ONNX-compatible wake-word model, providing flexibility for specific use cases.
  • Use Case: A home automation system that listens for a custom wake-word to control smart home devices without the need for continuous voice recognition.

Quick Start

Enable OpenWakeWord with a custom model and threshold to detect 'hey assistant' with high accuracy.

Frequently Asked Questions about openwakeword

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run offline wake-word detection for voice activation without cloud APIs?▼

Offline wake-word detection can be executed using open-source ONNX models to trigger hands-free voice activation. This approach ensures complete privacy by processing audio locally without relying on cloud connectivity or external APIs.

Can I use custom ONNX models for wake-word detection in home automation?▼

Yes, custom ONNX-compatible models are fully supported for wake-word detection. This allows you to integrate specific voice activation triggers into home automation systems, enabling smart device control without continuous voice recognition.

What is the best way to ensure privacy during hands-free voice activation?▼

Using open-source ONNX models for offline wake-word detection ensures privacy by eliminating cloud connectivity. Processing voice activation locally prevents audio data from leaving your device, making it ideal for privacy-critical scenarios.

How do I configure a custom wake-word threshold with ONNX models?▼

You can enable wake-word detection by loading a custom ONNX model and configuring a specific threshold. This setup allows you to accurately detect specific phrases like 'hey assistant' tailored to your application's sensitivity requirements.

Does open-source wake-word detection work without internet connectivity?▼

Open-source wake-word detection runs completely offline using ONNX models. It does not require internet connectivity or cloud services, ensuring reliable voice activation in isolated or local-only network environments.

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