cherry-studio vs Orkas

Desktop AI chat and agent orchestration compared

cherry-studio brings cloud and local models into a desktop chat workspace for conversations, assistants, and document work. Orkas uses a Commander and specialist agents to coordinate multi-step tasks; its data and keys are stored locally, though hosted model calls send prompts to the selected provider.

cherry-studioOrkas
LanguageTypeScriptJavaScript
LicenseAGPL-3.0MIT
Stars52.7k2.1k
Forks5.1k88
Last analyzedOct 19, 2026Oct 4, 2026

Key differences

  • cherry-studio focuses on chatting with multiple models, using assistants, and working with documents; Orkas focuses on delegating tasks among coordinated agents.
  • cherry-studio supports Windows, macOS, and Linux; Orkas offers packaged builds for macOS and Windows, with Linux use from source.
  • cherry-studio is written in TypeScript and licensed under AGPL-3.0; Orkas is written in JavaScript and licensed under MIT.
  • cherry-studio connects to named cloud services and local models through Ollama and LM Studio; Orkas connects to model providers, OpenAI-compatible local endpoints, and supported external CLI agents.
  • The supplied repository figures list 52.3k stars and 5k forks for cherry-studio, compared with 2.1k stars and 88 forks for Orkas.

Choose cherry-studio if you…

  • want a desktop workspace for chatting with cloud and local models in one place.
  • need multi-model conversations, ready-made assistants, or document and image handling in chat.
  • use Windows, macOS, or Linux and want to connect local models through Ollama or LM Studio.
Read the cherry-studio analysis →

Choose Orkas if you…

  • want a Commander to delegate multi-step work to specialist agents.
  • need local storage for conversations, files, API keys, and knowledge bases, with local document retrieval.
  • want to connect different providers or local endpoints per agent, or run supported coding and personal-agent CLIs.
Read the Orkas 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.