head to head · open source

AnythingLLM vs Cherry Studio

AnythingLLM has 67,862 GitHub stars, 7,658 forks, 311 open issues and last shipped 4 days ago. Cherry Studio has 53,202 stars, 5,164 forks, 1,514 open issues and last shipped yesterday. AnythingLLM leads on adoption by 28% (67,862 vs 53,202 stars). AnythingLLM is written in JavaScript under MIT; Cherry Studio is written in TypeScript under AGPL-3.0. AnythingLLM has attracted 11% as many forks as stars, Cherry Studio 10%. Cherry Studio was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agents, 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.

AnythingLLM ★ 68K Cherry Studio ★ 53K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

AnythingLLM Cherry Studio
GitHub stars ★ 68K ★ 53K
License MIT AGPL-3.0
Written in JavaScript TypeScript
Last push 2026-10-30 2026-11-02
Forks ⑂ 7.7K ⑂ 5.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick AnythingLLM if

  • You weight community size — 68K stars and counting
  • You want the MIT license terms
  • Your stack matches JavaScript
  • You value the larger contributor base for long-term maintenance

full AnythingLLM profile →

pick Cherry Studio if

  • You want the Cherry Studio feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and Cherry Studio fits your workflow better

full Cherry Studio profile →

About AnythingLLM

[!NOTE] We are also working on Open Computer which gives an entire computer environment for AI Agents to use. This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use. ⭐ Star the repo to stay updated! AnythingLLM: The all in one AI app you were looking for. Chat with your docs, use AI Agents, hyper configurable, multi user, & no frustrating setup required. Docs Hosted Instance English · 简体中文 · 日本語 👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now Chat with your docs. Automate complex workflows with AI Agents. Hyper configurable, multi user ready…

read the full AnythingLLM overview →

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 →

More in AI & Machine Learning

Related comparisons

More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

Frequently asked questions

Is AnythingLLM or Cherry Studio more popular?

AnythingLLM has 67,862 GitHub stars and Cherry Studio has 53,202. AnythingLLM has the larger community by that measure.

Are AnythingLLM and Cherry Studio free?

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

What is the difference between AnythingLLM and Cherry Studio?

AnythingLLM is written in JavaScript and Cherry Studio in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, AnythingLLM or Cherry Studio?

Choose AnythingLLM if you want the larger community (67,862 stars) or its MIT licence terms. Choose Cherry Studio if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.