cherry-studio vs ClickUi

Desktop AI assistants compared

cherry-studio and ClickUi are desktop applications for chatting with cloud or local AI models. cherry-studio focuses on a broad workspace for multiple models, assistants, and documents, while ClickUi emphasizes quick hotkey access, voice interaction, and desktop tools.

cherry-studioClickUi
LanguageTypeScriptPython
LicenseAGPL-3.0AGPL-3.0
Stars52.7k427
Forks5.1k41
Last analyzedOct 19, 2026Oct 9, 2026

Key differences

  • cherry-studio is written in TypeScript, while ClickUi is written in Python.
  • cherry-studio supports multi-model conversations, 300+ pre-configured assistants, custom assistants, and work with images and Office documents; ClickUi centers on text and voice chat, file attachments, and browser-based tools.
  • ClickUi opens and closes with a configurable keyboard shortcut; cherry-studio is described as a unified chat workspace without a comparable hotkey feature in the provided details.
  • Both connect to Ollama, but cherry-studio also supports LM Studio, while ClickUi documents Whisper and Kokoro for voice input and output.
  • Both use the AGPL-3.0 license. The listed repository counts are 52.3k stars and 5k forks for cherry-studio, compared with 427 stars and 41 forks for ClickUi.

Choose cherry-studio if you…

  • want to compare multiple models in one conversation and use ready-made or custom assistants.
  • need a document-oriented chat workspace that handles images, Office documents, and PDFs.
  • want a desktop app for Windows, macOS, or Linux with support for Ollama and LM Studio.
Read the cherry-studio analysis →

Choose ClickUi if you…

  • want to open an AI chat interface with a configurable keyboard shortcut while using other apps.
  • need voice input and spoken responses, and can install and configure Whisper and Kokoro.
  • want a Python-based assistant with Google search, page text extraction, and optional local conversation history.
Read the ClickUi analysis →

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.