Cherry Studio is a desktop client that supports multiple LLM providers, offering 300+ AI assistants, cross-provider workflows, and document processing features. It emphasizes multi-model conversations, integration with various services, and a cross-platform desktop experience.
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What it is
Cherry Studio is a desktop client that supports multiple LLM providers, available on Windows, Mac and Linux. The project presents itself as an AI productivity studio with smart chat, autonomous agents, and 300+ assistants, aiming to provide unified access to frontier LLMs.
How it works
The repository highlights support for diverse LLM providers (OpenAI, Gemini, Anthropic, and more), integration with AI web services (Claude, Perplexity, Poe, etc.), and local model support via Ollama and LM Studio. It also features AI assistants and conversations, document and data processing capabilities, and various tools integrations (global search, translation, markdown rendering, etc.). The project includes a Model Context Protocol server (MCP) and supports cross-model, multi-conversation workflows. The README enumerates capabilities across several areas, including data formats (text, images, PDF, office), WebDAV for file management, Mermaid chart visualization, and code syntax highlighting.
Getting started
From the README, the Getting Started section outlines typical open-source contribution steps: fork, create a branch, submit changes, and open a PR, with a reference to a Contributing Guide. Specific commands for setup or local development are not provided in the excerpt.
Recent releases
Latest releases shown:
- v2.0.0 (2026-08-05): Cherry Studio 2.0.0 - A New AI Workspace, from Chat to Getting Work Done
- v2.0.0-rc.5 (2026-08-04): Fixes and updates including provider-registry change and daily I18N sync
- v1.9.13 (2026-08-03): Various fixes and feature updates related to models and thinking capabilities
- v2.0.0-rc.3 (2026-07-31): Appearance and resource group updates
- v2.0.0-rc.2 (2026-07-29): Data/model migration fixes
Quotes and exact changelog entries are included in the Releases section of the README.
Traction
The repository shows 49,400 stars, 4,694 forks, and 1,205 open issues. It is primarily written in TypeScript and licensed under AGPL-3.0. These numbers are provided in the repository metadata and are not elaborated beyond the counts here.
Behind the repo
No explicit startup or company linkage is detailed in the excerpt beyond project-wide enterprise edition notes describing centralized model management, knowledge bases, and private deployment capabilities for teams.
Caveats
License: AGPL-3.0. Age: Created 2024-05-24. Open issues count is 1205. These data points are stated in the repository metadata. No further licensing or issue-level caveats are described in the provided material.






