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pentagi

vxcontrol/pentagi

Fully autonomous AI Agents system for complex penetration testing tasks

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

55views this month

25k stars3.2k forksLast push Sep 10, 2026 Go MIT

Decision brief

PentAGI is a fully autonomous AI agent system specifically designed for complex penetration testing tasks, offering a comprehensive framework that operates in an automated fashion to enhance security evaluations.

Good fit when

  • Use PentAGI when you need a fully autonomous solution for handling intricate penetration tests with minimal human intervention.
  • Choose PentAGI if your environment requires significant scalability and flexibility through the use of AI-driven agents, especially those capable of adapting strategies based on real-time data and API

Avoid when

  • Avoid using PentAGI in scenarios where legacy systems cannot support Docker or require manual oversight for each penetration test step.
  • Do not utilize PentAGI if you prefer a proprietary model over open-source solutions, as it operates under the MIT license.
Requirements:
Min 4 GB RAM; Requires Docker; Docker and Docker Compose (or Podman) is required; System must have a minimum of 2 vCPUs.; At least 20GB free disk space needed.

Observed Jul 11, 2026 · Source: enrich:decision_facts

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (24,769) are secondary evidence.

Docker Hub pulls (30d)
321,504·Docker Hub API·Sep 20, 2026

Maintenance and security

Full trust report
Maintenance
Active (10d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

go get github.com/vxcontrol/pentagi
pkg.go.dev

How it fits your stack(5)

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Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides an autonomous AI agents framework for performing complex security-related penetration testing tasks in a fully automated manner.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 20, 2026

Languages
go

Source: github.language · Sep 20, 2026

Categories

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Tags

README

Quick Start For a step by step walkthrough that connects installation, configuration, LLM and embedding provider testing, and your first login, see the Installing and Configuring PentAGI guide. The sections below remain the detailed reference for each step. System Requirements Do...

For agents

This page has a .md twin and JSON over the API.

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