Everywhere is a desktop AI assistant that maintains awareness of your current application and uses multiple language models with Model Context Protocol tools to help you work across different apps.
The tool solves the problem of AI assistants lacking context about what you are actually doing on your screen. It captures information about your active application and uses that context to provide more relevant assistance. The approach integrates multiple large language models—including Claude, OpenAI, Gemini, and Deepseek—alongside MCP tools that extend the assistant's capabilities to interact with and control your applications. This on-screen awareness means the assistant can understand your current task and suggest actions tailored to the specific app you are using.
Everywhere suits developers and power users who work across multiple applications and want an AI assistant that understands their workflow without requiring manual context switching. It is particularly valuable for those who want to maintain flow state by having assistance available without leaving their current application. The tool is built as a desktop application using Avalonia, making it a native experience rather than a browser-based solution. If you need an AI assistant that goes beyond generic chat and can actually see and reason about what is on your screen, this approach of combining on-screen awareness with multiple LLM options and MCP tool integration distinguishes it from standard chatbot interfaces.
The project shows active development with regular commits addressing features and improvements. Work spans multiple areas including core assistant functionality, integration with different language models, and expansion of MCP tool support. The codebase demonstrates ongoing refinement of the on-screen awareness system and the mechanisms for cross-application interaction.
