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LuaN1aoAgent

LuaN1aoAgent is a fully autonomous AI-driven penetration testing agent powered by graph-based cognitive reasoning.

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agent-appTypeScriptgraphgraph-agentplan-execute-reflectsecurity-toolstypescriptpentestcausal-graphslarge-language-modelsagentsaicybersecuritypi-sdkai-agentspenetration-testingai-security-toolnodeautonomous-agentsdeepseekmulti-agent-systemsllmsecurity-automationpenetration-testing-tools

LuaN1aoAgent is a fully autonomous AI-driven penetration testing agent built in TypeScript, using graph-based cognitive reasoning with a plan-execute-reflect loop and causal graphs. It is a multi-agent system that uses DeepSeek models via pi-sdk.

Reach for it when you want an LLM-driven agent to automate penetration testing workflows with graph-based reasoning.

Use it to

  • Automate penetration testing tasks
  • Run autonomous security assessments
  • Experiment with plan-execute-reflect agent loops
  • Explore graph-based cognitive reasoning for security
  • Build multi-agent security automation

For Security researchers and penetration testers exploring AI agents

Role
agent-app
Language
TypeScript
Licence
AGPL-3.0
Forks
185
Open issues
4
Last push
2026-09-15
Latest release
v1.0.0 · 2026-07-20
topicspenetration-testingautonomous-agentscybersecurityllmgraph-agentsecurity-automation