head to head · open source

Cherry Studio vs RasaGPT

Cherry Studio has 53,202 GitHub stars, 5,164 forks, 1,514 open issues and last shipped yesterday. RasaGPT has 2,458 stars, 247 forks, 57 open issues and last shipped 12 months ago. Cherry Studio leads on adoption by 2,064% (53,202 vs 2,458 stars). Cherry Studio is written in TypeScript under AGPL-3.0; RasaGPT is written in Python under MIT. Cherry Studio has attracted 10% as many forks as stars, RasaGPT 10%. 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 RasaGPT ★ 2.5K category AI & Machine Learning

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Side by side

Cherry Studio RasaGPT
GitHub stars ★ 53K ★ 2.5K
License AGPL-3.0 MIT
Written in TypeScript Python
Last push 2026-11-02 2025-11-12
Forks ⑂ 5.2K ⑂ 247
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 RasaGPT if

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

full RasaGPT 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 RasaGPT

🏠 Overview 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. It is boilerplate and a reference implementation of Rasa and Telegram utilizing an LLM library like Langchain for indexing, retrieval and context injection. 📚 Resources: 🧑‍💻 Github: 🧙 Author: @paulpierre 💬 What is Rasa? In their own words: 💬 Rasa is an open source (Python) machine learning framework to automate text and voice based conversations: NLU, dialogue management, connect to Slack, Facebook, and more Create chatbots and voice assistants In my words: Rasa is a very popular (dare I say de facto?) and…

read the full RasaGPT overview →

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Frequently asked questions

Is Cherry Studio or RasaGPT more popular?

Cherry Studio has 53,202 GitHub stars and RasaGPT has 2,458. Cherry Studio has the larger community by that measure.

Are Cherry Studio and RasaGPT free?

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

What is the difference between Cherry Studio and RasaGPT?

Cherry Studio is written in TypeScript and RasaGPT 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 RasaGPT?

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