
Open-source autonomous penetration testing agents that run 20+ security tools in an isolated Docker sandbox with memory and web intelligence.
PentAGI (vxcontrol/pentagi) is an open-source autonomous AI agent system for penetration testing. It plans and executes complex offensive security workflows end-to-end, running professional pentesting tools (e.g., nmap, Metasploit, sqlmap and others) inside a sandboxed Docker environment for isolation. PentAGI includes multi-step task orchestration, a browser-based intelligence component for gathering current info, and a smart memory system to store findings and successful approaches for future assessments. It is intended for authorized security testing environments where you have explicit permission to run assessments.
AI Agent Store research
PentAGI is an open-source, self-hosted multi-agent system for authorized penetration testing. It plans and executes security-testing flows inside Docker-isolated environments, uses specialist agents and more than 20 security tools, and supports both autonomous and interactive modes.
Last reviewed August 12, 2026
Automation mode plans and executes an assessment end to end, while Assistant mode supports interactive steering and optional delegation to specialized sub-agents.[1], [2]
PentAGI runs operations in Docker sandboxes and integrates more than 20 security tools including nmap, Metasploit, and sqlmap.[1]
The stack stores research and successful approaches and supports multiple hosted LLM providers plus local Ollama-based inference.[1]
PentAGI's core source code is MIT-licensed and free to self-host; model APIs, infrastructure, search services, and optional VXControl cloud services may add separate costs.[1]
Platforms: Linux, Windows, macOS, Web interface[1]
Deployment: Self-hosted with Docker Compose or Podman, Two-node isolated deployment for security-sensitive environments[1]
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
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