Everywhere

About Everywhere

Everywhere is an AI assistant that integrates directly with your operating system to bring AI help to any app or window. It reads what's on your screen in real time and responds via a hotkey, removing the need to copy-paste or switch applications.

Review

Everywhere aims to make AI accessibility pervasive by running natively on the OS and interacting with visible content on-screen. The project is open-source and emphasizes configurable models and local processing options, which can appeal to users who prioritize privacy and customization.

Key Features

• System-wide screen reading that can interpret visible content without screenshots or manual copying.
• Hotkey-triggered assistant for quick, in-context prompts and responses.
• Support for configurable LLMs and local model providers (examples include local runtimes), allowing offline or self-hosted usage.
• Open-source development with a GitHub presence and community-driven updates and contributions.
• Privacy-focused options and an upcoming memory feature that aims to keep data local via embedded models and local databases.

Pricing and Value

There is no detailed public pricing on the project page; the core project is open-source, which suggests a free base product. Costs can arise from choosing cloud-hosted model providers or from infrastructure needed to run larger local models. The main value proposition is reduced context switching and faster access to assistance directly in your workflow, which can save time for frequent, small tasks.

Pros

• Makes AI accessible everywhere in the OS, reducing the need to switch apps.
• Reads and acts on on-screen content in real time, simplifying tasks like summarization or quick edits.
• Open-source with community input and options to use local models for privacy control.
• Lightweight interface invoked by a hotkey for minimal disruption to workflows.

Cons

• Early-stage integrations are limited; deeper hooks into some apps (like internal linking) are not yet available.
• Effective use may require technical setup for local models or additional configuration, which can be a barrier for non-technical users.
• Feature set is still maturing compared with established, full-featured assistant platforms.

Everywhere is best suited for users who want quick, in-context AI help across multiple apps-power users, developers, and privacy-conscious individuals who prefer local models. It's promising for anyone who frequently performs small, repetitive tasks and wants to cut down on app switching, though those seeking a polished, turnkey experience may need to wait for further development.

Open 'Everywhere' Website