head to head · open source

AnythingLLM vs waku-agent

AnythingLLM has 67,862 GitHub stars, 7,658 forks, 311 open issues and last shipped 4 days ago. waku-agent has 2,126 stars, 418 forks, 24 open issues and last shipped 11 days ago. AnythingLLM leads on adoption by 3,092% (67,862 vs 2,126 stars). AnythingLLM is written in JavaScript under MIT; waku-agent is written in Python under MIT. AnythingLLM has attracted 11% as many forks as stars, waku-agent 20%. AnythingLLM 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.

AnythingLLM ★ 68K waku-agent ★ 2.1K category AI & Machine Learning

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Side by side

AnythingLLM waku-agent
GitHub stars ★ 68K ★ 2.1K
License MIT MIT
Written in JavaScript Python
Last push 2026-10-30 2026-10-23
Forks ⑂ 7.7K ⑂ 418
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 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 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 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 AnythingLLM or waku-agent more popular?

AnythingLLM has 67,862 GitHub stars and waku-agent has 2,126. AnythingLLM has the larger community by that measure.

Are AnythingLLM and waku-agent free?

Both are open source. AnythingLLM is licensed under MIT and waku-agent under MIT. Neither carries a licence fee.

What is the difference between AnythingLLM and waku-agent?

AnythingLLM is written in JavaScript 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, AnythingLLM or waku-agent?

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