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LuaN1aoAgent

Observation pool · not formally ranked

This project does not currently meet the main index requirement of two current dimensions across two source types.

Not ranked
Observed adoptionMissing
MomentumCurrent · 2026-09-12
14
AttentionCurrent · 2026-09-12
4
Signal confidence Based on how many independent score dimensions currently have data.
Medium2/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

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,…

Across sources

1.3k Stars
  • Stars 1.3k
  • Forks 185
  • Commits 144
  • Releases 2