head to head · open source
nanobot vs wisp-science
nanobot has 49,806 GitHub stars, 8,711 forks, 775 open issues and last shipped yesterday. wisp-science has 1,064 stars, 108 forks, 10 open issues and last shipped 2 days ago. nanobot leads on adoption by 4,581% (49,806 vs 1,064 stars). nanobot is written in Python under MIT; wisp-science is written in Rust under AGPL-3.0. nanobot has attracted 17% as many forks as stars, wisp-science 10%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agent), 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 | ★ 50K | ★ 1.1K |
| License | MIT | AGPL-3.0 |
| Written in | Python | Rust |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 8.7K | ⑂ 108 |
| 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 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
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 wisp-science
Wisp Science The open source, local first AI research workbench. WISP — Workspace for Intelligent Scientific Practice English · 简体中文 · Website · Releases Search the literature, run Python and R, query 80 scientific databases, and keep the trail — figures, runs, decisions, and drafts — in one project. Your data, conversations, and credentials stay on your machines. Bring your own model. Keep your science. What you can do An agent that does the work Bring OpenAI compatible or Anthropic models, or drive Codex / Claude Code over ACP. The agent reads and writes project files, runs shell, and loads reusable Skills (…
read the full wisp-science overview →
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Frequently asked questions
Is nanobot or wisp-science more popular?
nanobot has 49,806 GitHub stars and wisp-science has 1,064. 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 (49,806 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.