head to head · open source

Cherry Studio vs llm-workflow-engine

Cherry Studio has 53,202 GitHub stars, 5,164 forks, 1,514 open issues and last shipped yesterday. llm-workflow-engine has 3,717 stars, 461 forks, 3 open issues and last shipped yesterday. Cherry Studio leads on adoption by 1,331% (53,202 vs 3,717 stars). Cherry Studio is written in TypeScript under AGPL-3.0; llm-workflow-engine is written in Python under MIT. Cherry Studio has attracted 10% as many forks as stars, llm-workflow-engine 12%. Cherry Studio was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Cherry Studio ★ 53K llm-workflow-engine ★ 3.7K category AI & Machine Learning

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Side by side

Cherry Studio llm-workflow-engine
GitHub stars ★ 53K ★ 3.7K
License AGPL-3.0 MIT
Written in TypeScript Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 5.2K ⑂ 461
Self-hosting Yes Yes
Data ownership Your server Your server

pick Cherry Studio if

  • You weight community size — 53K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Cherry Studio profile →

pick llm-workflow-engine if

  • You want the llm-workflow-engine feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and llm-workflow-engine fits your workflow better

full llm-workflow-engine profile →

About Cherry Studio

English Official Site Documents Development Feedback [![][deepwiki shield]][deepwiki link] [![][twitter shield]][twitter link] [![][discord shield]][discord link] [![][telegram shield]][telegram link] [![][github release shield]][github release link] [![][github nightly shield]][github nightly link] [![][github contributors shield]][github contributors link] [![][license shield]][license link] [![][commercial shield]][commercial link] [![][sponsor shield]][sponsor link] 🍒 Cherry Studio Cherry Studio is a desktop client that supports multiple LLM providers, available on Windows, Mac and Linux. 👏 Join Telegram…

read the full Cherry Studio overview →

About llm-workflow-engine

LLM Workflow Engine LLM Workflow Engine (LWE) is a Power CLI and Workflow manager for LLMs. Read the documentation WATCH INTRO VIDEO Welcome! What would you like to do? Learn about the project Install LWE Learn how to use it Read the documentation Learn more about configuration/features Troubleshoot common issues Upgrade LWE Using GPT4 Report a bug Get support What happend to the original ChatGPT Wrapper project? See CHATGPT WRAPPER.md ChatGPT Wrapper was an amazing tool for its time, thank you to its original creator mmabrouk for all your hard work, it lives on in a new form :) Highlights 🤖 LWE lets you use…

read the full llm-workflow-engine overview →

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Frequently asked questions

Is Cherry Studio or llm-workflow-engine more popular?

Cherry Studio has 53,202 GitHub stars and llm-workflow-engine has 3,717. Cherry Studio has the larger community by that measure.

Are Cherry Studio and llm-workflow-engine free?

Both are open source. Cherry Studio is licensed under AGPL-3.0 and llm-workflow-engine under MIT. Neither carries a licence fee.

What is the difference between Cherry Studio and llm-workflow-engine?

Cherry Studio is written in TypeScript and llm-workflow-engine in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Cherry Studio or llm-workflow-engine?

Choose Cherry Studio if you want the larger community (53,202 stars) or its AGPL-3.0 licence terms. Choose llm-workflow-engine if its feature set, stack or MIT licence fits better. Both are self-hostable.