Everywhere
Everywhere is a context-aware, interactive AI/LLM assistant built with .NET and Avalonia.
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Every moment, Every place. Your AI - Everywhere
🚧 NOTICE: This project is under active development and is not yet ready for use 🚧
(WIP) Explore the docs »
View Demo · Report Bug · Request Feature
About Everywhere
Everywhere is a context-aware, interactive AI assistant built with .NET and Avalonia. Unlike traditional chat interfaces, Everywhere integrates directly with your desktop environment, perceiving your screen, understanding application context, and taking actions on your behalf.
🌟 Experience Examples
💬 Contextual Reminders
While chatting in Discord, you notice an important message about a project meeting
📌 Invoke Everywhere with a keyboard shortcut
🗣️ Command: "Remind me about this at 8pm tonight"
✨ Result: Everywhere captures the message context and automatically sets up a calendar reminder with relevant details
📰 Quick Web Summarization
You're browsing a lengthy technical article but need just the key points
📌 Invoke Everywhere over the webpage
🗣️ Command: "Give me a 3-point summary of this"
✨ Result: Instantly receive the main arguments without reading the entire content
🌐 Instant Translation
You encounter text in a foreign language while researching
📌 Invoke Everywhere over the text
🗣️ Command: "Translate this to English"
✨ Result: See an immediate translation without switching to another app
✉️ Email Draft Assistance
You're writing an important business email but unsure about the tone
📌 Invoke Everywhere over your draft
🗣️ Command: "Make this sound more professional"
✨ Result: Your casual text is transformed into polished business communication
🛠️ Technical Features
Category | ✅ Currently Supported | 🚧 Planned |
---|---|---|
LLM Support |
• OpenAI (ChatGPT) • Azure OpenAI |
• Claude • Gemini • Ollama • Grok |
Tool Integration | • Web search |
• Model Context Protocol (MCP) tools • System APIs |
Interface |
• Keyboard shortcuts • Markdown rendering • Code syntax highlighting |
• LaTeX support • Voice input • Advanced formatting options |
Platform Support | • Windows |
• macOS • Linux |
Language Support |
• 简体中文 • English |
• Additional languages (contributions welcome) |
🛠 Built With
📋 System Requirements
Platform | Minimum Version |
---|---|
Windows | 10.0.19041.0 |
macOS | Planned |
Linux | Planned |
🚀 Getting Started
Installation
Note: Pre‑built installers are not yet available; build from source for now.
🤝 Contributing
We welcome issues, feature ideas, and PRs! See CONTRIBUTING.md for guidelines.
Top contributors:
📄 License
Distributed under the Apache 2.0 License. See LICENSE for more information.
Third-Party Licenses
- shad-ui - MIT License
- UI Styles and Components
- Source repo: https://github.com/accntech/shad-ui
- Lucide.Avalonia - MIT License
- Icons
- Source repo: https://github.com/dme-compunet/Lucide.Avalonia
- HotAvalonia - MIT License
- Avalonia hot reload
- Source repo: https://github.com/Kira-NT/HotAvalonia
- CommunityToolkit.Mvvm - MIT License
- MVVM framework
- Source repo: https://github.com/CommunityToolkit/dotnet
- ObservableCollections - MIT License
- Observable collections for MVVM
- Source repo: https://github.com/Cysharp/ObservableCollections
- Zlinq - MIT License
- Zero allocation LINQ
- Source repo: https://github.com/Cysharp/ZLinq
- FlaUI - MIT License
- Screen Aware & UI Automation
- Source repo: https://github.com/FlaUI/FlaUI
- CsWin32 - MIT License
- Win32 API Autogen
- Source repo: https://github.com/microsoft/CsWin32
- WritableJsonConfiguration - MIT License
- Settings storage
- Source repo: https://github.com/Kibnet/WritableJsonConfiguration
- semantic-kernel - MIT License
- LLMs, RAG, Tool call, etc.
- Source repo: https://github.com/microsoft/semantic-kernel
- Sep - MIT License
- TSV Reader for i18n
- Source repo: https://github.com/nietras/Sep
- markdig - BSD-2-Clause License
- Markdown parser for Everywhere.Markdown rendering
- Source repo: https://github.com/xoofx/markdig
- AsyncImageLoader.Avalonia - MIT License
- Asynchronous image loading for Avalonia
- Source repo: https://github.com/AvaloniaUtils/AsyncImageLoader.Avalonia