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Artificial intelligence for autonomous penetration testing

Developed with the Go language, Pentagi offers a system of fully autonomous artificial intelligence agents (AI agents) that can perform complex penetration testing. The system aims to standardize autonomous workflows to detect and exploit vulnerabilities.

Updates

  • September 14, 2026: Stars 22,593 → 24,299, latest release v2.1.0 (May 29, 2026).
  • September 9, 2026: Stars 21,475 → 22,593, latest release v2.1.0 (May 29, 2026).
  • August 2, 2026: Stars 19,634 → 21,475, latest release v2.1.0 (May 29, 2026).

What you get

  • Fully autonomous security tests in Sandboxed Docker environment
  • Support for more than 20 professional tools such as Nmap and SQLmap
  • Detailed system monitoring with Grafana and Prometheus

Running it

Start the service
curl -O https://raw.githubusercontent.com/vxcontrol/pentagi/master/docker-compose.yml
docker compose up -d

If you don't write code

🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)

I want to initiate an autonomous penetration test on the target system using the PentAGI system. How can I configure the necessary workflow for this artificial intelligence agent running in the Docker environment to detect security vulnerabilities, scan using tools such as nmap and sqlmap, and present the findings in a detailed report?

Related dictionary terms

Penetration TestingArtificial Intelligence
Who it is forIt is designed for security researchers and professionals who want to automate their penetration tests.
LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-10: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.