head to head · open source

Cherry Studio vs pentestagent

Cherry Studio has 53,242 GitHub stars, 5,172 forks, 1,514 open issues and last shipped yesterday. pentestagent has 3,237 stars, 645 forks, 30 open issues and last shipped 3 days ago. Cherry Studio leads on adoption by 1,545% (53,242 vs 3,237 stars). Cherry Studio is written in TypeScript under AGPL-3.0; pentestagent is written in Python under MIT. Cherry Studio has attracted 10% as many forks as stars, pentestagent 20%. 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.

Cherry Studio ★ 53K pentestagent ★ 3.2K category AI & Machine Learning

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Side by side

Cherry Studio pentestagent
GitHub stars ★ 53K ★ 3.2K
License AGPL-3.0 MIT
Written in TypeScript Python
Last push 2026-11-04 2026-11-02
Forks ⑂ 5.2K ⑂ 645
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 pentestagent if

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

full pentestagent 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 pentestagent

PentestAgent AI Penetration Testing Requirements Python 3.10+ API key for OpenAI, Anthropic, or other LiteLLM supported provider Install Configure Create .env in the project root: Or for OpenAI: Any LiteLLM supported model works. Using a relay / custom API base Point PentestAgent at any OpenAI compatible endpoint via OPENAI API BASE : For Anthropic compatible endpoints use ANTHROPIC API BASE instead. See .env.example for full provider notes and embedding options. Run Docker Run tools inside a Docker container for isolation and pre installed pentesting tools. Option 1: Pull pre built image (fastest) Option 2…

read the full pentestagent overview →

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Frequently asked questions

Is Cherry Studio or pentestagent more popular?

Cherry Studio has 53,242 GitHub stars and pentestagent has 3,237. Cherry Studio has the larger community by that measure.

Are Cherry Studio and pentestagent free?

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

What is the difference between Cherry Studio and pentestagent?

Cherry Studio is written in TypeScript and pentestagent 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 pentestagent?

Choose Cherry Studio if you want the larger community (53,242 stars) or its AGPL-3.0 licence terms. Choose pentestagent if its feature set, stack or MIT licence fits better. Both are self-hostable.