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Introduction
The Ultimate Open-Source Security Arsenal for Hackers, Enterprises, and AI Agents——面向极客、企业与 AI 智能体的全域开源网络安全工具矩阵
[!TIP]
📅 Tired of hunting all over the place for AI agent tools? → Scanners-Box Daily AI Tool Picks
Contents
[!IMPORTANT]
🤖 AI & Autonomous Agents
The focus zone of Scanners Box — AI-driven autonomous security tooling.
AI Autonomous Cybersecurity Agents
- https://github.com/vxcontrol/pentagi - Fully autonomous multi-agent pentesting system in Go — runs whole engagements inside an isolated Docker sandbox with 20+ built-in tools (nmap, metasploit, sqlmap), long-term memory, optional Neo4j knowledge graph, and a web console for human-in-the-loop monitoring

- https://github.com/oritera/Cairn - A general-purpose state-space search engine validated on autonomous penetration testing — no predefined roles or workflows, purely goal-driven pathfinding

- https://github.com/KeygraphHQ/shannon - Autonomous white-box AI pentester for web apps & APIs — analyzes source code, identifies attack vectors, and executes real exploits pre-production


- https://github.com/SanMuzZzZz/LuaN1aoAgent - LuaN1ao (鸾鸟) - A next-generation Autonomous Penetration Testing Agent powered by LLMs, integrating P-E-R Agent Collaboration with Causal Graph Reasoning to simulate security expert thinking patterns

- https://github.com/Ed1s0nZ/CyberStrikeAI - An AI-native security testing platform in Go, integrating 100+ tools, intelligent orchestration, role-based testing, skills system, full lifecycle management, and a built-in lightweight C2 framework for authorized engagements

- https://github.com/ASCIT31/Dark-Moon - Autonomous AI pentesting engine performing continuous offensive security across web, cloud, AD and Kubernetes. Uses agentic reasoning, real exploit execution and attack path analysis to deliver proof-based vulnerabilities.