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LuaN1aoAgent

LuaN1aoAgent is a cognition-driven autonomous penetration testing agent utilizing dual-graph reasoning technology.

🇨🇳 DomesticFreeOpen sourceDev开源Python网络安全
Platforms: WebAPI
Region
Domestic
Pricing
Free
Open source
Yes
GitHub Stars
★ 1.0k
Source
GitHub
Added
2026-06-14
Last verified
2026-06-14
LuaN1aoAgent

Overview

LuaN1aoAgent is a next-generation autonomous penetration testing agent powered by large language models (LLM). By innovatively integrating the P-E-R (Planner-Executor-Reflector) agent collaboration framework and causal graph reasoning technology, it overcomes the limitations of traditional automated scanning tools. LuaN1ao simulates the thought process of human security experts, transforming penetration testing into an 'autonomous agent' that spans from information gathering to vulnerability exploitation. It dynamically plans attack paths, constructs rigorous evidence-hypothesis-verification logic chains, and learns from failures to automatically adjust strategies.

Key features

  • Dynamic attack path planning
  • Evidence-driven decision making
  • Learning from failure
  • Complete cognitive loop

Use cases

Network security testingVulnerability discoveryPenetration testingSecurity assessment

Pros

  • High success rate
  • Low cost
  • Adaptive strategy
  • Avoids hallucinated attacks

Limitations / notes

  • Requires internet connection
  • Higher learning curve

Who it's for

DevelopersSecurity expertsEnterprise teams

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

Is it free?

Yes, LuaN1aoAgent is an open-source project and available for free use.

Does it support Chinese?

Yes, the project provides documentation in Chinese.

Do I need to use scientific internet access?

Not required, but access to certain external resources may be needed.

Can it be used commercially?

Yes, it can be used commercially under the Apache-2.0 license.

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