
Claude Cowork
Desktop AI coworker that operates on your files to handle multi-step tasks.

Context-aware AI assistant that works wherever you are
Everywhere delivers instant, context-aware AI assistance on Windows via a sleek frosted-glass UI, supporting multiple large language models and tools like browser, file system, and terminal.

Everywhere is designed for professionals, developers, and power users who need immediate AI assistance without leaving their current workflow. By pressing a configurable shortcut, the assistant captures the on-screen context—whether it's an error dialog, a block of text, or a code snippet—and provides relevant responses directly where you are.
The tool integrates with a wide range of large language models, including OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Moonshot, OpenRouter, SiliconCloud, and Ollama, plus custom endpoints. It also connects to essential utilities such as web browsers, the file system, terminals, and Windows’ Everything search. The modern frosted-glass UI renders markdown, supports multiple languages, and offers keyboard-driven interactions.
Available as a Windows installer or a portable zip package, Everywhere runs on Windows 10 (build 19041) and later. The project is open source under Apache 2.0, with documentation in progress and an active community for contributions and feedback.
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Error Troubleshooting
Capture an on-screen error message and receive step-by-step resolution guidance.
Web Article Summarization
Select a lengthy article and get a concise three-point summary instantly.
Instant Translation
Highlight foreign-language text and obtain an immediate English translation.
Email Draft Polishing
Invoke Everywhere over a draft email to improve tone and professionalism.
Full support is available on Windows 10 (build 19041) and later. macOS and Linux versions are planned.
Press the configured keyboard shortcut while hovering over any screen element to capture its context.
Yes, custom endpoints can be added alongside the built-in providers.
The core application is open source and free; usage costs depend on the selected LLM provider.
Contributions are welcome via pull requests; see the CONTRIBUTING.md file for guidelines.
Project at a glance
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