vxcontrol/pentagi

Health v2 · maintenance only

Adoption not part of the score

25181 stars · 3241 forks observed · 2026-10-02

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.97

PentAGI is a Go-based autonomous AI agent system for automated penetration testing. It provides a web UI, GraphQL API, and integrates with multiple LLM providers to orchestrate security testing tasks.

Use cases

• automate penetration testing workflows with AI agents
• run security scans across multiple targets using autonomous agents
• integrate custom LLM providers for security testing intelligence
• manage and monitor multi-agent security testing from a web dashboard
• execute security testing commands via CLI or API
• orchestrate complex attack simulations in a controlled environment
• embed AI-driven security checks into CI/CD pipelines

When to choose

• You need an AI‑driven, fully automated penetration testing platform.
• You want to customize LLM providers (OpenAI, Anthropic, Azure, etc.) for security tasks.
• You require a multi‑agent system that can run in Docker containers with isolated environments.
• You prefer a web UI plus GraphQL API for managing and scripting security tests.

When to avoid

• You need a lightweight, single‑target scanner without AI orchestration.
• Your environment does not support Docker or Go runtime.
• You require a pure command‑line tool with no web interface or agent supervision.
• Regulatory constraints forbid the use of autonomous AI agents for security testing.

Facets

application · maturity active

api-framework graphql llm-inference agent-framework security web-framework cli artificial-intelligence security penetration-testing browser cli autonomous-agents security-automation multi-agent-system react-frontend go-backend ai-agents linux docker web-server

Member repositories

For agents

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