SanMuzZzZz/LuaN1aoAgent

Health v2 · maintenance only

Adoption not part of the score

1276 stars · 183 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LuaN1aoAgent is an autonomous AI-driven penetration testing agent built in TypeScript on the Pi SDK, using graph-based cognitive reasoning with a Planner-Executor-Observer architecture. It targets authorized security research, keeping every conclusion traceable to persisted events, artifacts, and graph evidence.

Use cases

• automate penetration testing with an AI agent
• run autonomous security assessments on authorized targets
• build multi-agent pentest workflows with graph reasoning
• trace security findings back to evidence and artifacts
• orchestrate LLM-driven offensive security tooling
• plan and execute scoped pentest tasks automatically

When to choose

• you need an autonomous, evidence-traceable pentest agent rather than a manual scanner
• you want graph-based cognitive planning for security tasks
• you're doing authorized security research with LLM-driven tooling
• you prefer a TypeScript/Node.js agent runtime

When to avoid

• you need a stable, benchmark-validated tool - v2 is a rewrite with unverified benchmarks
• you need a passive vulnerability scanner or compliance checker
• unauthorized testing - the tool is designed for authorized research only
• you need a Python-based v1-compatible workflow

Facets

application · maturity active

agent-framework penetration-testing llm-inference security workflow-automation penetration-testing security large-language-models cli cross-platform autonomous-agents multi-agent-systems graph-based-reasoning plan-execute-reflect pentest-automation typescript pi-sdk evidence-tracing ai-agents automation nodejs

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