head to head · open source

Cherry Studio vs waku-agent

Cherry Studio has 53,242 GitHub stars, 5,172 forks, 1,514 open issues and last shipped yesterday. waku-agent has 2,131 stars, 419 forks, 24 open issues and last shipped 13 days ago. Cherry Studio leads on adoption by 2,398% (53,242 vs 2,131 stars). Cherry Studio is written in TypeScript under AGPL-3.0; waku-agent is written in Python under MIT. Cherry Studio has attracted 10% as many forks as stars, waku-agent 20%. 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 waku-agent ★ 2.1K category AI & Machine Learning

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Side by side

Cherry Studio waku-agent
GitHub stars ★ 53K ★ 2.1K
License AGPL-3.0 MIT
Written in TypeScript Python
Last push 2026-11-04 2026-10-23
Forks ⑂ 5.2K ⑂ 419
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 waku-agent if

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

full waku-agent 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 waku-agent

waku agent Your own AI assistant. On your laptop. In code you can read in an afternoon. Meet Waku — a local first personal assistant that shows the four pillars behind every serious agent: Harness · Loop · Memory · Eval/LLM Ops . No frameworks hiding the good parts. Built by seanchen.io. Local first. Your memory is one SQLite file. Open it. Read it. It's yours. Memory is the hero. Semantic + episodic + procedural — with a gate that decides whether to remember, and a pass that decides what to keep. The loop is 95 lines of plain Python. Step through it. Watch it think. A local dashboard lights up every message as…

read the full waku-agent overview →

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Frequently asked questions

Is Cherry Studio or waku-agent more popular?

Cherry Studio has 53,242 GitHub stars and waku-agent has 2,131. Cherry Studio has the larger community by that measure.

Are Cherry Studio and waku-agent free?

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

What is the difference between Cherry Studio and waku-agent?

Cherry Studio is written in TypeScript and waku-agent 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 waku-agent?

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