🛡️ Xalgorix: Autonomous AI Pentesting Agents

In short, Xalgorix attempts to bring AI agents into the cybersecurity domain, specifically for automated penetration testing. Built with Go and TypeScript, it aims to orchestrate real-time reconnaissance, vulnerability detection, and exploitation. As LLMs improve in code comprehension and logical reasoning, using AI to assist or even lead security testing is becoming a clear trend. It is more like an exploration of an automated red-team toolchain. The hard part is not getting an AI to trigger existing scanning tools, but enabling the agent to perform multi-step reasoning in complex network environments—much like a human security expert—while accurately verifying vulnerabilities to reduce false positives. For those tracking AI security applications, bug bounty hunters, or penetration testers, this project offers an early reference on how to combine LLM capabilities with traditional security workflows.