Honest pros, cons, and verdict on this security tool
✅ Fully autonomous AI pentesting in sandboxed, isolated Docker containers. This directly supports the primary workflow.
Starting Price
Free
Free Tier
Yes
Category
security
Skill Level
Developer
Open-source, fully self-hosted autonomous AI penetration-testing platform that runs a team of specialized AI agents with 20+ professional security tools in isolated Docker sandboxes for authorized security testing.
PentAGI (Penetration testing Artificial General Intelligence) is an open-source, self-hosted platform for automated security testing aimed at information security professionals, researchers, and ethical hackers doing authorized penetration testing. It runs fully autonomous AI agents that determine and execute pentesting steps inside a sandboxed, isolated Docker environment, with a built-in suite of 20+ professional tools such as nmap, metasploit, and sqlmap. Its architecture is a microservices system with a React/TypeScript web UI, a Go backend exposing REST and GraphQL APIs with Bearer-token auth, a PostgreSQL + pgvector vector store, and a multi-agent 'team of specialists' (orchestrator, researcher, developer, executor, plus adviser/planner/reflector supervision agents) that delegate tasks and collaborate. A smart memory system provides long-term, working, and episodic memory, augmented by a Graphiti-powered Neo4j knowledge graph for semantic context. Web intelligence comes from an isolated browser scraper plus integrations with search APIs including Tavily, Traversaal, Perplexity, DuckDuckGo, Google Custom Search, Sploitus, and Searxng. It supports 10+ LLM providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Ollama, DeepSeek, GLM, Kimi, Qwen, plus OpenRouter/DeepInfra aggregators and custom OpenAI-compatible endpoints) and includes production-grade observability via Langfuse, Grafana/Prometheus, VictoriaMetrics, Jaeger, and Loki. Advanced agent supervision (execution monitoring and intelligent task planning) markedly improves results with smaller local models, enabling air-gapped autonomous pentesting. Deployment is via an interactive installer or Docker Compose (min 2 vCPU, 4GB RAM, 20GB disk). It generates detailed vulnerability reports with exploitation guides and web/Markdown/PDF export. Free and open source, fully self-hosted. Only test systems you are authorized to test.
What PentAGI does in practice
PentAGI delivers on its promises as a security tool. While it has some limitations, the benefits outweigh the drawbacks for most users in its target market.
Open-source, fully self-hosted autonomous AI penetration-testing platform that runs a team of specialized AI agents with 20+ professional security tools in isolated Docker sandboxes for authorized security testing.
Yes, PentAGI is good for security work. Users particularly appreciate fully autonomous ai pentesting in sandboxed, isolated docker containers. this directly supports the primary workflow.. However, keep in mind plan prices can omit usage overages, model-provider charges, implementation work, taxes, or required seats..
Yes, PentAGI offers a free tier. However, premium features unlock additional functionality for professional users.
PentAGI is best for Authorized autonomous penetration testing in self-hosted environments and Air-gapped or closed-network security testing with local LLMs. It's particularly useful for security professionals who need autonomous exploitation with monitoring.
There are several security tools available. Compare features, pricing, and user reviews to find the best option for your needs.
Last verified March 2026