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PentAGI

PentAGI AI Agent
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Overview

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.

Product overview

Capabilities, pricing and fit

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.

Information as of August 12, 2026

What it can do

  • Autonomous penetration-testing flows

    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]

  • Isolated security-tool execution

    PentAGI runs operations in Docker sandboxes and integrates more than 20 security tools including nmap, Metasploit, and sqlmap.[1]

  • Memory and provider flexibility

    The stack stores research and successful approaches and supports multiple hosted LLM providers plus local Ollama-based inference.[1]

Where it fits best

  • Security professionals and researchers automating assessments of systems they own or are explicitly authorized to test.[1], [2]

Pricing and availability

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]

Access: Self-hosted with Docker Compose or Podman, Two-node isolated deployment for security-sensitive environments[1]

Important considerations
  • PentAGI must only be used against systems the operator owns or is explicitly authorized to assess.[2]
  • The recommended deployment requires Docker or Podman, at least 2 vCPU, 4 GB RAM, 20 GB of storage, and an LLM provider; its Docker stack can require privileged access to the Docker socket.[1]
Sources (2)
  1. vxcontrol/pentagiGitHub · checked 2026-08-12
  2. How to Use PentAGI After LoginDocumentation · checked 2026-08-12

Autonomy level

91/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: PentAGI demonstrates exceptionally high autonomy as a fully autonomous AI agent system. The platform operates 'with no human in the loop' once tasks are defined, automatically determining and executing penetration testing steps without manual intervention. It employs a multi-agent orchestration architecture where specialized AI agents (research, co...

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Some of the use cases of PentAGI:

  • Automating reconnaissance, enumeration, and exploitation planning steps during authorized penetration tests.
  • Running pentesting tools safely in an isolated Docker sandbox to reduce host risk.
  • Generating repeatable testing workflows with stored findings and reusable approaches via long-term memory.
  • Augmenting security assessments with built-in web intelligence for up-to-date techniques and references.

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Popularity level: 68%

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Plans start at $29/month. Cancel anytime.

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OpenClaw or Hermes

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