head to head · open source
nanobot vs FastGPT
nanobot has 48,372 GitHub stars, 8,548 forks, 775 open issues and last shipped today. FastGPT has 29,694 stars, 7,319 forks, 172 open issues and last shipped today. nanobot leads on adoption by 63% (48,372 vs 29,694 stars). nanobot is written in Python under MIT; FastGPT is written in TypeScript under a custom or non-standard licence. nanobot has attracted 18% as many forks as stars, FastGPT 25%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (mcp), 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 | FastGPT | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 30K |
| License | MIT | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-09-20 | 2026-09-20 |
| Forks | ⑂ 8.5K | ⑂ 7.3K |
| 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
pick FastGPT if
- You want the FastGPT feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches TypeScript
- You evaluated both and FastGPT fits your workflow better
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 FastGPT
FastGPT is an open source AI knowledge base platform built on large language models (LLMs). It provides integrated tools for data ingestion, vector retrieval (RAG), and visual workflow orchestration, enabling users to construct and deploy question answering applications without writing extensive backend code. The platform runs on Next.js and supports integration with multiple LLM providers including OpenAI, Claude, DeepSeek, Qwen, and others.
read the full FastGPT overview →
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Frequently asked questions
Is nanobot or FastGPT more popular?
nanobot has 48,372 GitHub stars and FastGPT has 29,694. nanobot has the larger community by that measure.
Are nanobot and FastGPT free?
Both are open source. nanobot is licensed under MIT, and FastGPT has no licence declared in this registry. Both are free to self-host.
What is the difference between nanobot and FastGPT?
nanobot is written in Python and FastGPT 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 FastGPT?
Choose nanobot if you want the larger community (48,372 stars) or its MIT licence terms. Choose FastGPT if its feature set, stack or Custom / other licence fits better. Both are self-hostable.