head to head · open source
nanobot vs wisp-science
nanobot has 48,372 GitHub stars, 8,548 forks, 775 open issues and last shipped today. wisp-science has 1,155 stars, 118 forks, 10 open issues and last shipped today. nanobot leads on adoption by 4,088% (48,372 vs 1,155 stars). nanobot is written in Python under MIT; wisp-science is written in Rust under AGPL-3.0. nanobot has attracted 18% as many forks as stars, wisp-science 10%. wisp-science was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-agent, mcp, model-context-protocol), 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 | wisp-science | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 1.2K |
| License | MIT | AGPL-3.0 |
| Written in | Python | Rust |
| Last push | 2026-09-20 | 2026-09-20 |
| Forks | ⑂ 8.5K | ⑂ 118 |
| 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 wisp-science if
- You want the wisp-science feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Rust
- You evaluated both and wisp-science 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 wisp-science
Wisp Science is an open source, local first desktop AI research workbench that gives scientists and research teams an agentic workspace for literature search, Python and R execution, scientific database queries, and manuscript preparation, all running against their own machines.
read the full wisp-science overview →
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Frequently asked questions
Is nanobot or wisp-science more popular?
nanobot has 48,372 GitHub stars and wisp-science has 1,155. nanobot has the larger community by that measure.
Are nanobot and wisp-science free?
Both are open source. nanobot is licensed under MIT and wisp-science under AGPL-3.0. Neither carries a licence fee.
What is the difference between nanobot and wisp-science?
nanobot is written in Python and wisp-science in Rust. 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 wisp-science?
Choose nanobot if you want the larger community (48,372 stars) or its MIT licence terms. Choose wisp-science if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.