head to head · open source

Cherry Studio vs agentscope

Cherry Studio has 53,202 GitHub stars, 5,164 forks, 1,514 open issues and last shipped yesterday. agentscope has 35,223 stars, 3,774 forks, 369 open issues and last shipped yesterday. Cherry Studio leads on adoption by 51% (53,202 vs 35,223 stars). Cherry Studio is written in TypeScript under AGPL-3.0; agentscope is written in Python under Apache-2.0. Cherry Studio has attracted 10% as many forks as stars, agentscope 11%. 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 agentscope ★ 35K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Cherry Studio agentscope
GitHub stars ★ 53K ★ 35K
License AGPL-3.0 Apache-2.0
Written in TypeScript Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 5.2K ⑂ 3.8K
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 agentscope if

  • You want the agentscope feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and agentscope fits your workflow better

full agentscope 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 agentscope

中文主页 Documentation Roadmap What is AgentScope 2.0? AgentScope 2.0 is a production ready, easy to use agent framework with essential abstractions that keep up with rising model capability. We design for increasingly agentic LLMs. Our approach leverages the models' reasoning and tool use abilities rather than constraining them with strict prompts and opinionated orchestrations. News [2026 09] FEAT : agentscope skill now supports AgentScope v2. [2026 09] INTE : Support DashScope, OpenAI, Gemini and xAI realtime APIs in RealtimeAgent . Example Docs [2026 09] FEAT Experimental : Realtime voice agent supported…

read the full agentscope 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 Cherry Studio or agentscope more popular?

Cherry Studio has 53,202 GitHub stars and agentscope has 35,223. Cherry Studio has the larger community by that measure.

Are Cherry Studio and agentscope free?

Both are open source. Cherry Studio is licensed under AGPL-3.0 and agentscope under Apache-2.0. Neither carries a licence fee.

What is the difference between Cherry Studio and agentscope?

Cherry Studio is written in TypeScript and agentscope 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 agentscope?

Choose Cherry Studio if you want the larger community (53,202 stars) or its AGPL-3.0 licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.