cherry-studio vs Jan
Desktop AI model clients compared
cherry-studio and jan are desktop apps for chatting with AI models, including cloud options and local models. cherry-studio emphasizes a broad workspace for multi-model conversations and document tasks, while jan focuses on running local models and providing an OpenAI-compatible local API.
cherry-studio: Chat with Multiple AI Models on Desktop
Cherry Studio is a TypeScript desktop client for Windows, macOS, and Linux that brings multiple LLM providers, AI assistants, and conversations into one app. It also supports local models, document handling, and MCP servers.
Jan: Run Local AI on Your Desktop with llama.cpp
Jan is a Tauri desktop app built on llama.cpp that brings open-source AI into an offline ChatGPT-style interface. It runs on Windows, macOS, and Linux, with options to use local models or connect to cloud AI services.
| cherry-studio | Jan | |
|---|---|---|
| Language | TypeScript | Rust |
| License | AGPL-3.0 | — |
| Stars | 52.7k | 45k |
| Forks | 5.1k | 3.1k |
| Last analyzed | Oct 19, 2026 | Oct 18, 2026 |
Key differences
- cherry-studio connects to cloud providers and AI web services, while jan lists cloud provider integrations alongside local model downloads.
- cherry-studio supports local models through Ollama and LM Studio; jan can download and run models, including from Hugging Face.
- cherry-studio includes 300+ pre-configured assistants, simultaneous multi-model conversations, and support for documents and images; jan focuses on custom assistants and local inference.
- jan provides an OpenAI-compatible local API at localhost:1337; cherry-studio lists MCP server support and WebDAV file management.
- cherry-studio is written in TypeScript and uses AGPL-3.0; jan is written in Rust and lists its license as NOASSERTION.
- Both run on Windows, macOS, and Linux, but jan's local inference depends on the selected model and the computer's hardware and memory.
Choose cherry-studio if you…
- compare multiple models in one conversation.
- want ready-made assistants and document or image workflows in a desktop chat app.
- use Ollama or LM Studio models alongside supported cloud services.
Choose Jan if you…
- want to download and run models locally through a desktop interface.
- need an OpenAI-compatible local API for applications.
- want to combine local inference with supported cloud providers and custom assistants.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.