head to head · open source

nanobot vs magentic

nanobot has 48,372 GitHub stars, 8,548 forks, 775 open issues and last shipped today. magentic has 2,425 stars, 127 forks, 50 open issues and last shipped 6 months ago. nanobot leads on adoption by 1,895% (48,372 vs 2,425 stars). nanobot is written in Python under MIT; magentic is written in Python under MIT. nanobot has attracted 18% as many forks as stars, magentic 5%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatbot), 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 ★ 48K magentic ★ 2.4K category AI & Machine Learning

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Side by side

nanobot magentic
GitHub stars ★ 48K ★ 2.4K
License MIT MIT
Written in Python Python
Last push 2026-09-20 2026-03-11
Forks ⑂ 8.5K ⑂ 127
Self-hosting Yes Yes
Data ownership Your server Your server

pick nanobot if

  • You weight community size — 48K 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 magentic if

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

full magentic profile →

About nanobot

nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python, aimed at individual developers and small teams who want to run their own agent through a browser WebUI, a terminal, or chat apps instead of renting a hosted assistant.

read the full nanobot overview →

About magentic

magentic is an MIT licensed Python library that turns Large Language Model prompts into typed Python functions through the @prompt and @chatprompt decorators, aimed at Python developers who need structured, agentic LLM behavior inside ordinary application code.

read the full magentic overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

nanobot vs OpenClaw nanobot vs Hermes Agent nanobot vs Open WebUI nanobot vs ComfyUI nanobot vs odysseus nanobot vs LobeChat nanobot vs AnythingLLM nanobot vs Cherry Studio nanobot vs Jan nanobot vs LibreChat nanobot vs chatbox nanobot vs AstrBot

Frequently asked questions

Is nanobot or magentic more popular?

nanobot has 48,372 GitHub stars and magentic has 2,425. nanobot has the larger community by that measure.

Are nanobot and magentic free?

Both are open source. nanobot is licensed under MIT and magentic under MIT. Neither carries a licence fee.

What is the difference between nanobot and magentic?

nanobot is written in Python and magentic 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, nanobot or magentic?

Choose nanobot if you want the larger community (48,372 stars) or its MIT licence terms. Choose magentic if its feature set, stack or MIT licence fits better. Both are self-hostable.