head to head · open source

nanobot vs QwenPaw

nanobot has 49,806 GitHub stars, 8,711 forks, 775 open issues and last shipped today. QwenPaw has 37,316 stars, 3,258 forks, 990 open issues and last shipped today. nanobot leads on adoption by 33% (49,806 vs 37,316 stars). nanobot is written in Python under MIT; QwenPaw is written in TypeScript under Apache-2.0. nanobot has attracted 17% as many forks as stars, QwenPaw 9%. QwenPaw was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 5 topic tags (ai-agent, ai-agents, chatbot, llms), 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.

nanobot ★ 50K QwenPaw ★ 37K category AI & Machine Learning

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Side by side

nanobot QwenPaw
GitHub stars ★ 50K ★ 37K
License MIT Apache-2.0
Written in Python TypeScript
Last push 2026-11-04 2026-11-04
Forks ⑂ 8.7K ⑂ 3.3K
Self-hosting Yes Yes
Data ownership Your server Your server

pick nanobot if

  • You weight community size — 50K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full nanobot profile →

pick QwenPaw if

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

full QwenPaw profile →

About nanobot

English 简体中文 繁體中文 Español Français Bahasa Indonesia 日本語 한국어 Русский Tiếng Việt Discord · X · WeChat / Feishu nanobot 🐈 nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long term memory, MCP integrations, model routing, multi agent delegation, scheduled automation, and an OpenAI compatible API in a small, readable core. Start Here What can nanobot do? nanobot is a self hosted personal AI agent runtime. It can: run in a browser WebUI or terminal connect to Telegram, Discord, Slack, WeChat, Email…

read the full nanobot overview →

About QwenPaw

QwenPaw [Documentation] [中文] [日本語] [Русский] Works for you, grows with you. Your personal AI assistant — deploy locally or in the cloud, extend with Skills & Plugins, connect across every channel. What you can do with QwenPaw Automation & scheduling : Set up recurring tasks — news digests, report generation, multi channel broadcasting — all on your schedule. Code & development : Read, edit, review, and test code in your projects with the unified file workspace. Document processing : Read, write, and convert PDF, Word, Excel, and PowerPoint files. Information gathering : Search the web, follow subscriptions…

read the full QwenPaw overview →

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Frequently asked questions

Is nanobot or QwenPaw more popular?

nanobot has 49,806 GitHub stars and QwenPaw has 37,316. nanobot has the larger community by that measure.

Are nanobot and QwenPaw free?

Both are open source. nanobot is licensed under MIT and QwenPaw under Apache-2.0. Neither carries a licence fee.

What is the difference between nanobot and QwenPaw?

nanobot is written in Python and QwenPaw in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, nanobot or QwenPaw?

Choose nanobot if you want the larger community (49,806 stars) or its MIT licence terms. Choose QwenPaw if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.