{"repo":"vxcontrol/pentagi","free":true,"listed":false,"github":"https://github.com/vxcontrol/pentagi","clone":"git clone https://github.com/vxcontrol/pentagi.git","description":"Fully autonomous AI Agents system capable of performing complex penetration testing tasks","language":"Go","stars":21877,"topics":["ai-agents","ai-security-tool","autonomous-agents","golang","graphql","multi-agent-system","penetration-testing-tools","react","security-automation","security-testing"],"license":"MIT","category":"ai-agents","readme_excerpt":"PentAGI P enetration testing A rtificial G eneral I ntelligence Join the Community! Connect with security researchers, AI enthusiasts, and fellow ethical hackers. Get support, share insights, and stay updated with the latest PentAGI developments. ⠀ Table of Contents - Overview - Features - Architecture - Agent Supervision - Quick Start - Agent Docker Access - Running Several Instances - How to Use PentAGI After Login - API Access - LLM Provider Configuration - Ollama - OpenAI - Anthropic - Google AI (Gemini) - AWS Bedrock - DeepSeek - GLM - Kimi - Qwen - MiniMax - Advanced Setup - Langfuse Integration - Monitoring and Observability - Knowledge Graph (Graphiti) - OAuth Integration - Docker Image Configuration - Development - Testing LLM Agents - Embedding Configuration and Testing - Function Testing with ftester - Building - Credits - License Overview PentAGI is an innovative tool for automated security testing that leverages cutting-edge artificial intelligence technologies. The project is designed for information security professionals, researchers, and enthusiasts who need a powerful and flexible solution for conducting penetration tests. You can watch the video PentAGI overview : Features - Secure & Isolated. All operations are performed in a sandboxed Docker environment with complete isolation. - Fully Autonomous. AI-powered agent that automatically determines and executes penetration testing steps with optional execution monitoring and intelligent task planning for enhan","default_branch":null,"files":null,"tree":[],"storefront":"/r/vxcontrol","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/vxcontrol/pentagi/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}