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PentAGI

Fully autonomous AI agent system for complex penetration testing and security assessment

★ 20,873 GitHub MIT ai-agentspenetration-testingsecurityautonomous-agentsgolangmulti-agent AI Agents

Overview

PentAGI is a powerful open-source framework that leverages autonomous AI agents to perform complex penetration testing tasks. Built with Go and React, it creates a multi-agent system where specialized AI agents collaborate to identify vulnerabilities, test security controls, and generate comprehensive security reports. Key features include autonomous multi-agent coordination for penetration testing, support for OpenAI and Anthropic models, real-time collaboration through GraphQL subscriptions, and a modern React-based dashboard for monitoring agent activities. The system can be deployed via Docker and is self-hosted, giving you full control over your security testing infrastructure. With over 20,000 GitHub stars and 180,000 Docker pulls, PentAGI has established itself as a leading open-source solution for AI-powered security testing. Perfect for security researchers, penetration testers, and organizations looking to automate their security assessment workflows.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  pentagi:
    image: vxcontrol/pentagi:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/pentagi:/data

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