Overview
Hush is an open-source, real-time noise suppression model designed to clean up noisy call audio for voice AI agents. Developed by weya AI, it removes background noise, competing voices, and audio interference, ensuring ASR systems hear the primary speaker clearly. It's lightweight (8 MB), runs on CPU with sub-millisecond latency, and is trained on 10,000+ hours of real-world noisy audio.
Skybridge is a full-stack TypeScript framework for building MCP (Model Context Protocol) apps—interactive applications that run inside AI assistants like ChatGPT, Claude, and VSCode. It provides a dev server with Hot Module Reload, a local emulator, a public tunnel for testing, and type-safe React hooks. Skybridge abstracts client differences so apps work seamlessly across platforms.
Feature Comparison
| Feature | Hush | Skybridge |
|---|---|---|
| Primary Function | Real-time audio noise suppression | React framework for MCP apps |
| Target Users | Voice AI developers, contact centers | React developers building conversational UIs |
| Deployment | Lightweight model on CPU in cloud/data center | Full-stack framework with dev server, tunnel, emulator |
| Real-time Performance | <1 ms per 10 ms audio frame on CPU | HMR for instant UI updates |
| Open Source | Yes (Hugging Face) | Yes (MIT license) |
| Integration | Slots into Voice AI stack (ASR, bots) | Works with Claude, ChatGPT, VSCode, etc. |
| Training Data | 10,000+ hours of noisy audio | Not applicable |
| Community/Adoption | Top-5 on Hugging Face leaderboard | 500K+ downloads, OpenAI recommended |
Pricing
Hush: The model is free and open-source. weya AI offers a 2-week pilot program where they implement the model into one workflow, measure results, and demonstrate lift before full rollout. Enterprise pricing for support or custom deployment is not publicly listed.
Skybridge: The framework is completely free and open-source under the MIT license. There are no paid tiers or subscription fees. Developers can use it immediately for building and deploying MCP apps.
Pros and Cons
Hush
Pros:
- Real-time noise suppression on CPU with minimal latency
- Open-source and lightweight (8 MB model)
- Trained on diverse real-world noisy environments (cafes, streets, construction)
- Improves ASR accuracy and reduces repetition
Cons:
- Limited to audio enhancement; no UI or app-building capabilities
- Requires integration into existing voice AI pipeline
Skybridge
Pros:
- Full-stack framework with HMR, tunnel, and emulator for rapid development
- Works across multiple MCP clients (Claude, ChatGPT, VSCode)
- Type-safe with tRPC-style inference and React hooks
- Strong community and official OpenAI recommendation
Cons:
- Niche to MCP app development; not for general web apps
- Learning curve for developers new to MCP ecosystem
Verdict
Choose Hush if you need to clean noisy call audio in real time for voice AI agents—it's a focused, high-performance noise suppression model. Choose Skybridge if you're building interactive MCP apps for AI assistants like ChatGPT or Claude—it provides a complete framework with great developer experience. They solve different problems and can even complement each other in a voice-enabled MCP app.
Hush
Skybridge