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PentestPi

Autonomous Penetration Testing Agent Framework with External State Memory & Anti-False-Falsification Guardrails.

Details

External ID
1362314598
Source
GITHUB
Company
—
Product
PentestPi
Website domain
github.com
Launched
Sept. 9, 2026
Cohort
—
Upvotes
15
Upvotes percentile
0.4914168588265437
Tags
ai-agent, autonomous-agents, ctf, cybersecurity, llm-agent, offensive-security, penetration-testing, pentest, red-teaming, security-tools, tsecbench, vulnerability-assessment
Fetched at
Sept. 13, 2026, 5:57 p.m.
Updated at
Sept. 13, 2026, 5:57 p.m.

Enrichment

Theme
ai cybersecurity and penetration testing
Vertical
Security
Function
Agent / copilot
Audience
B2B
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
autonomous penetration testing agent for cybersecurity
Manually corrected
False

Could you build this?

Partial While LLM orchestration can be vibe-coded, an autonomous pentesting agent requires complex security tool integration, real-world exploit verification harnesses, and defensive sandbox infrastructure.

What it would actually take: Requires an orchestration layer (Python, LangChain/LangGraph) driving containerized Kali Linux tools (Nmap, Metasploit, Nuclei) via controlled execution environments. The hard part is building deterministic verification harnesses and anti-hallucination verification logic that confirm vulnerabilities through actual side effects in target environments without crashing systems, demanding deep penetration testing and systems security knowledge.

Competitors

Other products that read as similar to this one — 1613 launches clear the similarity bar, closest 8 shown.

Attention rank: #702 of 1614 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.