head to head · open source
nanobot vs pentestagent
nanobot has 48,372 GitHub stars, 8,548 forks, 775 open issues and last shipped today. pentestagent has 3,090 stars, 613 forks, 30 open issues and last shipped 13 days ago. nanobot leads on adoption by 1,465% (48,372 vs 3,090 stars). nanobot is written in Python under MIT; pentestagent is written in Python under MIT. nanobot has attracted 18% as many forks as stars, pentestagent 20%. 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-agents), 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 | pentestagent | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 3.1K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-20 | 2026-09-07 |
| Forks | ⑂ 8.5K | ⑂ 613 |
| 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 pentestagent if
- You want the pentestagent feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and pentestagent 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 pentestagent
PentestAgent is Python based AI agent framework for black box security testing. Project lives in AI & Machine Learning / AI Interaction & Interfaces ecosystem. It supports bug bounty, red team, and penetration testing workflows. It provides terminal user interface, Docker tool execution, multi agent orchestration, and model access through OpenAI, Anthropic, or other LiteLLM supported providers.
read the full pentestagent overview →
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Frequently asked questions
Is nanobot or pentestagent more popular?
nanobot has 48,372 GitHub stars and pentestagent has 3,090. nanobot has the larger community by that measure.
Are nanobot and pentestagent free?
Both are open source. nanobot is licensed under MIT and pentestagent under MIT. Neither carries a licence fee.
What is the difference between nanobot and pentestagent?
nanobot is written in Python and pentestagent 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 pentestagent?
Choose nanobot if you want the larger community (48,372 stars) or its MIT licence terms. Choose pentestagent if its feature set, stack or MIT licence fits better. Both are self-hostable.