1. Project Overview

 Cherry Studio

Cherry Studio is a desktop client that supports multiple large language model (LLM) providers, compatible with Windows, Mac, and Linux.

2. Open Source License

Licensed under Apache-2.0

3. Screenshots

 Interface

4. Feature Overview

 Key Features

• ☁️ Supports mainstream LLM cloud services: OpenAI, Gemini, Anthropic, SiliconFlow, and more
• Integrates popular AI web services: Claude, Peplexity, Poe, Tencent Yuanbao, Zhihu Zhida, and more
• Supports local model deployment with Ollama and LM Studio

• Built-in library of 300+ preconfigured AI assistants
• Create your own custom assistants
• Chat with multiple models at once for diverse perspectives

• Supports text, images, Office files, PDF, and other formats
• ☁️ WebDAV file management and data backup
• Mermaid diagram visualization
• Syntax highlighting for code

• Global search
• Topic management
• AI-powered translation
• Drag-and-drop reordering
• Mini-app support
• ⚙️ MCP (Model Context Protocol) services

• ️ Cross-platform support for Windows, Mac, and Linux
• Ready to use out of the box, no environment setup required
• Light and dark themes with transparent window support
• Full Markdown rendering
• Convenient content sharing

 To-Do List

• Quick popup (clipboard read, quick ask, explain, translate, summarize)
• Side-by-side comparison of answers from multiple models
• Sign in via SSO provided by service providers
• Internet access for all models (in development...)
• Release the first stable version
• Bug fixes and improvements (in development...)
• Plugin support (JavaScript)
• Browser extension (text selection translation, summarization, add to knowledge base)
• iOS & Android clients
• AI notes
• Voice input and output (AI calls)
• Customizable backup content for data backup

5. Tech Stack

️ Development

IDE Setup

Cursor + ESLint + Prettier

Project Setup

Installation

yarn

Development

Install Node.js

Download and install Node.js v20.x.x

Install Yarn

corepack enable
corepack prepare yarn@4.6.0 --activate

Install Dependencies

yarn install

Start

yarn dev

Installation

# For windows
$ yarn build:win

# For macOS
$ yarn build:mac

# For Linux
$ yarn build:linux