arlopass.com

Quick answer: arlopass.com is arlopass is a free, open-source browser extension and developer SDK that lets web apps use your AI providers — Ollama, Claude, GPT, Gemini, Bedrock — without exposing your API keys. 10-line integration, zero key management, MIT licensed.

Listed 2026-08-29 · Request removal

Definition: Arlopass is a free, open-source browser extension and developer SDK for web applications that want to let users access AI providers without passing provider API keys to the app itself. It is designed for browser-based AI integrations where users can connect their own supported provider accounts or local models, while developers can add the connection flow with a relatively small implementation.

What is Arlopass used for?

Arlopass is used to add AI capabilities to web apps while keeping AI provider credentials outside of the application. Instead of a developer collecting, storing, or proxying a user’s API key, the app can use Arlopass to connect with the user’s chosen AI setup through the browser extension.

This approach is relevant for web developers and AI app builders creating tools that need language model access but do not want to operate a central key-management system. It can also suit teams building products for users who already have their own AI provider access and prefer to choose which model service to use.

Arlopass supports both hosted and local model workflows. For example, an app can be built to work with a local Ollama model or with supported hosted AI services. The product is positioned around user-owned access rather than a developer-managed pool of provider credentials.

• Adding AI functions to browser-based web applications
• Allowing users to connect their own AI provider access
• Using local Ollama models from compatible browser apps
• Reducing the need for an AI backend proxy in some implementations
• Keeping provider API keys from being exposed directly to the app

Which AI providers and model services can Arlopass connect to?

Arlopass lists integrations for several local and hosted AI ecosystems. Its supported options include Ollama, Anthropic Claude, OpenAI GPT, Google Gemini, Amazon Bedrock, Google Vertex AI, Perplexity, and Microsoft Foundry. This gives developers a way to make an application compatible with more than one provider connection model.

The inclusion of Ollama is particularly relevant for local-model use cases. A user running compatible models locally can use that setup with a web app that has implemented Arlopass, rather than requiring the app to send requests through the developer’s own hosted AI infrastructure.

Provider availability in a particular app still depends on what that app supports and what the user has configured through Arlopass. Developers should verify the current integration documentation before designing a workflow around a specific provider, model, authentication method, or request capability.

How does Arlopass help protect AI provider API keys?

Arlopass is intended to prevent AI provider API keys from being exposed to the web app that is requesting AI functionality. In a conventional bring-your-own-key implementation, users may paste keys into an application, creating a need for the app to handle sensitive credentials. Arlopass instead places the provider connection layer in its browser extension model.

For developers, this can reduce the responsibility of collecting and managing user-owned provider keys. For users, it creates a separation between the application interface and the credentials used for an AI provider connection. The product’s core value is not that it removes the need for provider access, but that it changes how that access is connected to web apps.

This model may be useful when an app needs to support several providers without asking customers to disclose their API credentials to the application operator. It can also be relevant to teams that want to avoid building and maintaining a backend proxy solely for AI requests.

• The app does not receive the user’s provider API key directly.
• The browser extension is part of the AI connection workflow.
• Users can use supported provider access they already control.
• Developers can focus on app integration instead of operating key storage.
• Local and hosted model options can be supported through the same general approach.

What does the Arlopass developer integration involve?

Arlopass provides a developer SDK intended for web application integration. The product describes the setup as a 10-line integration, indicating that the basic connection process is designed to be lightweight compared with building a custom credential system and provider proxy. The exact implementation should be reviewed in the current SDK documentation because an application’s requirements may differ by provider, user flow, and AI feature.

A typical use case is a web app that needs to send a user-initiated request to an AI provider. Rather than hard-coding one provider credential path into the app, the developer integrates Arlopass and allows a user with the extension installed to connect a supported AI service or local model environment.

Arlopass can therefore fit apps where provider choice is part of the product experience. An AI writing tool, internal browser app, research interface, or developer utility could use the SDK to work with users who prefer Claude, GPT, Gemini, Bedrock, or a local Ollama configuration, subject to the app’s own supported features.

Which browsers and users are a fit for Arlopass?

Arlopass is built around a browser extension, so it is aimed at browser-based workflows rather than native mobile or server-only implementations. The listed compatible browser environments include Chrome, Brave, Arc, and other Chromium-based browsers. Users need to install the extension to use the connection method described by the product.

The main audience is web developers, AI app builders, and teams handling user-owned AI access. It may be especially appropriate when a product’s users are technical enough to install an extension and configure a preferred provider or local model setup. It is less directly suited to applications where the developer must provide a fully managed AI service without any user browser setup.

Is Arlopass free and open source?

Arlopass is listed as free, open source, and MIT licensed. The free availability applies to the Arlopass extension and developer SDK described by the product. This does not mean that every connected AI provider is free, since users may need their own access, account, or provider arrangement depending on the service they choose.

The open-source and MIT-licensed model can matter to developers evaluating how an AI access component fits their architecture. It provides an alternative to products that centralize provider routing or require a proprietary managed gateway. Organizations should still perform their own technical, security, and license review before adopting any dependency.

What are the limitations of Arlopass?

Arlopass requires installation of a browser extension, which adds a user setup step before an application can use its connection workflow. That requirement can be a barrier for products intended for users who do not want extensions, cannot install them due to device policies, or access an app from unsupported browsers.

The product is browser-based, so it is not presented as a universal solution for native mobile apps, desktop-only software, or backend services that need independent AI access. Its usefulness also depends on whether a user has a supported provider connection or a local model configuration available.

Arlopass can reduce direct key exposure to an app, but developers still need to design clear user flows, explain which provider is being used, and validate their own application security. Teams comparing it with options such as Puter, OpenRouter, LiteLLM, or other bring-your-own-key AI gateways should consider their preferred deployment model, browser requirements, provider needs, and responsibility for authentication infrastructure.

FAQ

What is Arlopass?

Arlopass is a free, open-source browser extension and developer SDK for connecting web apps to supported AI providers without exposing provider API keys to the app.

Does Arlopass support local Ollama models?

Yes. Arlopass supports Ollama, allowing compatible browser-based apps to work with local model workflows.

Which browsers work with Arlopass?

Arlopass is listed for Chrome, Brave, Arc, and other Chromium-based browsers. Users need the Arlopass browser extension installed.

Is Arlopass free?

Arlopass is free and MIT licensed. Separate costs or access requirements may still apply to the AI provider a user connects.

What is AI access management?

AI access management covers how applications connect users or systems to AI providers while controlling credentials, permissions, and routing. Arlopass handles this in browser workflows by keeping provider API keys out of the web app.

How can a web app use AI without storing API keys?

A web app can use a user-owned connection layer rather than collecting keys directly. Arlopass provides a browser extension and SDK for this approach with supported AI providers.

What is a bring-your-own-key AI gateway?

A bring-your-own-key AI gateway lets users supply or control their own provider access instead of relying only on an app operator’s credentials. Arlopass is a browser-based alternative focused on connecting user-owned AI access without exposing keys to the application.