autonomous-pentest

A self-hosted autonomous vuln-discovery framework combining 15 specialist AI agents with real tooling in a six-phase pipeline (discovery→analysis→consolidation→exploitation→validation→reporting), with payload mutation, consensus voting, vision-based finding validation and a swarm dashboard. Python/FastAPI/React/Go, AGPL-3.0.

An open-weight 7B model built to support autonomous penetration testing: it interprets output from 25+ security tools (nmap, sqlmap, nuclei, Burp, etc.), plans multi-step attack strategies, classifies vulnerabilities, and generates remediation guidance. Apache-2.0, trained on data from authorized engagements against intentionally-vulnerable apps and bug-bounty targets, with documented run/target counts and responsible-use guidelines.