vxcontrol/pentagi

Health v2 · maintenance only

Adoption not part of the score

22033 stars · 2924 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PentAGI is a self-hosted, fully autonomous multi-agent AI system for performing complex penetration testing tasks, built in Go with a React frontend. It orchestrates LLM-powered agents (OpenAI, Anthropic, Ollama, and others) with Docker-isolated tool access to automate offensive security workflows.

Use cases

• automate penetration testing with ai agents
• run autonomous security assessments of my infrastructure
• self-hosted ai pentesting platform
• multi-agent system for offensive security tasks
• llm-powered vulnerability discovery and exploitation
• automate red team reconnaissance and testing

When to choose

• you want autonomous, end-to-end automated penetration testing rather than single-purpose scanners
• you need self-hosted control with Docker-isolated agent execution
• you want to plug in your own LLM provider including local models via Ollama
• you are a security team or researcher exploring agentic offensive security

When to avoid

• you need a traditional rule-based vulnerability scanner with deterministic results
• you cannot provide LLM API access or run local models
• you lack authorization to test the target systems - unauthorized use is illegal
• you need a lightweight CLI-only tool without a web interface

Facets

application · maturity active

agent-framework security penetration-testing llm-inference chat-interface self-hosted security penetration-testing large-language-models developer-tools self-hosted go cross-platform autonomous-agents multi-agent-system offensive-security security-automation pentesting llm-agents red-team ai-agents docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="vxcontrol/pentagi")