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SanMuzZzZz/LuaN1aoAgent

Python Tracked since 2025-12-04 Updated 2026-07-16 View source ↗

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LuaN1aoAgent is a cognitive-driven, fully autonomous AI penetration testing agent powered by dual-graph reasoning. It is developed by the Intelligent Offensive and Defensive Security Team led by Professor Lu Hui, Dean of the Institute of Cyberspace Security at Guangzhou University.

About

LuaN1ao (鸾鸟) is a next-generation Autonomous Penetration Testing Agent powered by Large Language Models (LLMs).

Traditional automated scanning tools rely on predefined rules and struggle with complex real-world scenarios. LuaN1ao breaks through these limitations by innovatively integrating the P-E-R (Planner-Executor-Reflector) Agent Collaboration Framework with Causal Graph Reasoning technology.

LuaN1ao simulates the thinking patterns of human security experts:

From information gathering to vulnerability exploitation, LuaN1ao elevates penetration testing from "automated tools" to an "autonomous agent".

LuaN1aoAgent achieves a 90.4% success rate on benchmark tasks fully autonomously,…

Excerpted from github.com/SanMuzZzZz/LuaN1aoAgent

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Stars 1.1k 2026-07-16
Forks 169 2026-07-16
Commits 104 2026-07-16
Releases 0 2026-07-16
Watchers 7 2026-07-16
Open issues 4 2026-07-16
Open PRs 1 2026-07-16