Cherry Studio is a cross-platform desktop client designed to unify access to various Large Language Models (LLMs) and AI services. It targets users who interact with multiple AI providers and local models, offering a consolidated interface for conversations, document processing, and practical AI-powered tools, thereby streamlining AI workflows.

How It Works

Cherry Studio acts as a unified client, abstracting away the complexities of interacting with diverse LLM APIs and local model runners like Ollama and LM Studio. It supports a wide range of cloud services (OpenAI, Gemini, Anthropic) and web integrations (Claude, Perplexity, Poe), alongside local model execution. This approach allows users to manage conversations, process various document types, and utilize integrated tools like global search and AI translation from a single application.

Quick Start & Requirements

• Install: Downloadable releases for Windows, macOS, and Linux are available.
• Prerequisites: No environment setup is required for basic use.
• Documentation: Guide

Highlighted Details

• Supports over 300 pre-configured AI assistants and custom assistant creation.
• Enables multi-model simultaneous conversations and comparison of answers.
• Integrates document processing for text, images, Office, PDF, and includes Mermaid chart visualization.
• Features a "quick popup" for clipboard reading, quick questions, explanation, translation, and summarization.

Maintenance & Community

• Active development with a public TODO list indicating ongoing improvements and planned features like plugin functionality and browser extensions.
• Community channels include Telegram, Discord, and QQ Group.
• The project welcomes contributions via code, bug fixes, documentation, and design.

Licensing & Compatibility

• The project is licensed under the MIT License.
• This license permits commercial use and integration with closed-source applications.

Limitations & Caveats

• Mobile clients (iOS/Android) and AI voice input/output are listed as future features.
• Plugin functionality is planned but not yet implemented.