PentAGI — fully autonomous AI agents for penetration testing
PentAGI is a self-hosted, open-source system where a team of AI agents plans and executes authorized penetration tests end to end, wielding 20+ security tools inside an isolated Docker sandbox.
Why it matters
Orchestrator plus researcher, developer and executor agents with a supervision layer, knowledge-graph memory, and 10+ LLM providers including fully local inference; it runs the whole pentest and hands back a report with exploitation guides.
What you could build with it
A security team could point PentAGI at a staging environment it owns, letting the agent team map the attack surface and produce a prioritized remediation report ahead of an external audit.
Does it hold up?
Usable today as a supervised assistant for authorized tests, but uneven fully autonomous: an independent benchmark confirmed only 1 of 20 exploits. Treat its reports as leads to verify, not findings to trust blind.
Built with PentAGI
- Benchmarking AI Pentesting Tools: A Practical Comparisonsecurityboulevard · Independent grey-box benchmark of five pentesting tools on a vulnerable app with 20 flaws: PentAGI confirmed 1 of 20 exploits, trailing peers on the same model, suggesting orchestration matters more than the model.
- PentAGI: a self-hosted AI team that runs a full pentestyoutube · Video walkthrough of PentAGI as a self-hosted agent team running an authorized pentest end to end, with supervision caps, memory between runs, and a report with exploitation guides.
- Your New Lead Security Engineer is an AI: Why PentAGI is Changing Cybersecurity Forevermedium · Community writeup describing PentAGI as a multi-agent orchestration system that researches, plans and executes attacks with Metasploit, Nmap and sqlmap in a Kali sandbox.
Learn more
First spotted on github: source.
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