Cherry Studio is a desktop application that supports multiple large language model (LLM) providers. It runs on Windows, macOS and Linux and integrates with both cloud services and local models.
- Multiple LLM provider support. Connect to cloud services such as OpenAI, Gemini and Anthropic. Platforms such as Perplexity and Poe are supported through API integration.
- Local models. Run models through Ollama and LM Studio. Use LLMs without depending on cloud services.
- Preconfigured assistants. A library of over 300 specialized AI assistants. Each assistant contains prompts optimized for specific tasks.
- Custom assistant creation. An interface for designing and saving your own assistant configurations. Adjust parameters such as temperature and context.
- Multi-model conversations. Chat with several LLMs at the same time. Compare responses from different providers in real time.
- Document processing. Supports text files, images, Office documents and PDFs. Content is extracted and analyzed using AI models.
- WebDAV management. Built-in system for file storage and backup. Compatible with WebDAV servers for project synchronization.
- Diagram visualization. Renders Mermaid charts inside documents. Supports flowchart and sequence diagram syntax.
- Syntax highlighting. Automatically detects programming languages. Code is color-coded for better readability in conversations.
- Global search. A unified system for finding content across conversations and documents. Filter by date, content type and tags.
- AI-assisted translation. Built-in translation between languages. Formatting and context are preserved during the process.
- Visual themes. Light, dark and transparent interface modes. Customize the appearance of the workspace.
- Markdown rendering. Full display of Markdown elements in conversations. Supports tables, lists and advanced formatting.
Cherry Studio was developed as a unified solution for interacting with language models. The first stable version was released in 2023 and is built with Electron for cross-platform compatibility. It uses TypeScript for the main interface and integrates with Python backends for advanced processing.
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