head to head · open source

LobeChat vs waku-agent

LobeChat has 83,716 GitHub stars, 16,033 forks, 922 open issues and last shipped yesterday. waku-agent has 2,126 stars, 418 forks, 24 open issues and last shipped 11 days ago. LobeChat leads on adoption by 3,838% (83,716 vs 2,126 stars). LobeChat is written in TypeScript under a custom or non-standard licence; waku-agent is written in Python under MIT. LobeChat has attracted 19% as many forks as stars, waku-agent 20%. LobeChat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (claude), 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.

LobeChat ★ 84K waku-agent ★ 2.1K category AI & Machine Learning

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Side by side

LobeChat waku-agent
GitHub stars ★ 84K ★ 2.1K
License Custom / other MIT
Written in TypeScript Python
Last push 2026-11-02 2026-10-23
Forks ⑂ 16K ⑂ 418
Self-hosting Yes Yes
Data ownership Your server Your server

pick LobeChat if

  • You weight community size — 84K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full LobeChat 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 LobeChat

[![][image banner]][vercel link] LobeHub LobeHub organizes your agents into 7×24 operation. It hires, schedules, reports on your entire AI team. You stay in charge — without staying online. English · 简体中文 · [Official Site][official site] · [Changelog][changelog] · [Documents][docs] · [Blog][blog] · [Feedback][github issues link] [![][github release shield]][github release link] [![][docker release shield]][docker release link] [![][vercel shield]][vercel link] [![][discord shield]][discord link] [![][codecov shield]][codecov link] [![][github action test shield]][github action test link] [![][github action…

read the full LobeChat 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 LobeChat or waku-agent more popular?

LobeChat has 83,716 GitHub stars and waku-agent has 2,126. LobeChat has the larger community by that measure.

Are LobeChat and waku-agent free?

Both are open source. LobeChat has no licence declared in this registry, and waku-agent is licensed under MIT. Both are free to self-host.

What is the difference between LobeChat and waku-agent?

LobeChat 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, LobeChat or waku-agent?

Choose LobeChat if you want the larger community (83,716 stars) or its Custom / other licence terms. Choose waku-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.