head to head · open source
nanobot vs magentic
nanobot has 49,806 GitHub stars, 8,711 forks, 775 open issues and last shipped yesterday. magentic has 2,428 stars, 133 forks, 50 open issues and last shipped 5 days ago. nanobot leads on adoption by 1,951% (49,806 vs 2,428 stars). nanobot is written in Python under MIT; magentic is written in Python under MIT. nanobot has attracted 17% 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.
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Side by side
| nanobot | magentic | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 2.4K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-10-31 |
| Forks | ⑂ 8.7K | ⑂ 133 |
| 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
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
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 magentic
magentic Seamlessly integrate Large Language Models into Python code. Use the @prompt and @chatprompt decorators to create functions that return structured output from an LLM. Combine LLM queries and tool use with traditional Python code to build complex agentic systems. Features [Structured Outputs] using pydantic models and built in python types. [Streaming] of structured outputs and function calls, to use them while being generated. [LLM Assisted Retries] to improve LLM adherence to complex output schemas. [Observability] using OpenTelemetry, with native [Pydantic Logfire integration]. [Type Annotations] to…
read the full magentic overview →
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Frequently asked questions
Is nanobot or magentic more popular?
nanobot has 49,806 GitHub stars and magentic has 2,428. 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 (49,806 stars) or its MIT licence terms. Choose magentic if its feature set, stack or MIT licence fits better. Both are self-hostable.