Penetration testers have long relied on collections of specialized tools, manual coordination, and documented runbooks to work through a target assessment. PentAGI, an open-source project from VXControl, attempts to automate that entire workflow using a multi-agent AI system that plans, researches, and executes penetration tests with minimal human direction. PentAGI organizes work into a hierarchy of flows, tasks, subtasks, and actions. An orchestrator agent receives a goal and coordinates three specialist agents: a researcher that gathers information and queries known vulnerability sources, a developer that plans attack strategies, and an executor that runs commands in isolated containers.

Full report : PentAGI: Open-source autonomous AI penetration testing system.