PentAGI

PentAGI is an autonomous AI agent platform that performs penetration testing tasks using terminal, browser, editor, and internet search tools.

PentAGI is an autonomous AI agent designed to execute complex penetration testing tasks. It operates by analyzing defined security tasks, determining necessary steps, and executing them through integrated terminal, browser, and editor environments. The system utilizes a knowledge graph RAG powered by Graphiti and Neo4j for context tracking, while storing command history in PostgreSQL. It supports over 200 penetration testing tools via optimized Docker images and integrates with various observability stacks like Grafana, Loki, and Jaeger. PentAGI is built for security professionals and ethical hackers who require automated testing infrastructure that runs on their own hardware.

PentAGI at a glance

Best for: Software engineer
Runs on: self-hosted, open source
Pricing: Free
Released: January 2025
Category: AI coding tool
Website: pentagi.com

Key features

Autonomous penetration testing execution
Sandboxed Docker environment for security
Knowledge graph RAG for context tracking
Integration with over 200 Kali Linux tools
Support for 12+ LLM providers via LiteLLM
Real-time monitoring through a browser UI
Customizable via REST API and GraphQL
Observability support with Grafana and OpenTelemetry

Use it for

Automated vulnerability scanning
Security analysis of target environments
Real-time penetration testing monitoring
Autonomous security task execution

Alternatives to PentAGI

ARTEX — Runs autonomous multi-agent penetration testing with a dual-graph architecture.
PentestGPT — Runs autonomous multi-stage pipelines or interactive multi-LLM workflows for security tests.
Autonomous Pentest Agent — Dual-graph architecture for asset synchronization and multi-step attack planning.
Pentest AI — Eliminates false positives by reproducing every exploit three times.
PentestAgent — It provides autonomous multi-agent penetration testing and Docker tool isolation.
CyberStrike — Autonomous AI agents execute recon, web, network, and cloud penetration testing.
CodeGraph — It eliminates file crawling, reducing AI agent tool calls by 88% and cutting costs.
ARTEX — Manages autonomous penetration testing tasks and tracks vulnerability progress.
Artex Global — Autonomous multi-agent penetration testing with multilingual output support.
Daytona — It provisions sandboxes in under 90 milliseconds with full security isolation.
Agentic Bug Hunter — It drives the reconnaissance, triage and reporting loop an agent would run.
VulnClaw — It uses LLM agents to autonomously execute end-to-end security testing loops.

All PentAGI alternatives