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ngrok routes and secures traffic to applications, APIs, and AI models running locally or in production.
About ngrok
ngrok is developer infrastructure that routes and secures traffic to applications, APIs, and AI models. It works with services running locally or in production, and is described as a way to connect services from anywhere.
With ngrok, you can share a localhost app for testing, use the Gateway to secure, transform, and route traffic to services running in different locations, and use the AI Gateway to route between hosted or self-hosted models with failover and observability. Setup documentation covers download and agent setup for getting an app online.
It suits developers who build and test web apps, APIs, and AI models and need to expose local work or manage traffic across environments. It can be installed with Homebrew, Scoop, or Docker.
Key features
- Share localhost apps for testing
- Route and secure traffic to apps and APIs
- Gateway secures and routes service traffic
- AI Gateway routes between hosted and self-hosted models
- Install via Homebrew, Scoop, or Docker
Best for: Developers who need to expose local apps and route traffic to APIs and AI models.
Good for
- Supports apps, APIs, and AI models
- Works from localhost to production
- Multiple install options including Docker
- Includes failover and observability for model routing
ngrok at a glance
- Website
- ngrok.com
- Category
- Development › Network Tools
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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ngrok FAQ
What is ngrok used for?
It routes and secures traffic to apps, APIs, and AI models running locally or in production.
Can ngrok share a localhost app?
Yes, it provides Share localhost to put a local app online for testing.
How do you install ngrok?
You can install it with Homebrew, Scoop, or Docker using the listed commands.
What is ngrok AI Gateway?
It routes between hosted or self-hosted models with failover and observability built in.
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