GH05TCREW/pentestagent

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3010 stars · 605 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PentestAgent is a Python-based AI agent framework for black-box penetration testing that orchestrates LLM-driven security testing workflows with a terminal UI and optional Docker-isolated tooling. It supports multiple LLM providers via LiteLLM, MCP tool integration, and ships pre-built Docker images including a Kali-based image with common pentesting tools.

Use cases

• automate penetration testing with an AI agent
• run red team engagements assisted by LLMs
• solve CTF challenges with AI tooling
• manage bug bounty recon and testing workflows
• run pentesting tools in an isolated Docker container
• build custom AI security testing agents with MCP tools

When to choose

• you want LLM-assisted black-box security testing with a TUI
• you need Docker-isolated execution of pentest tools
• you want to use any LiteLLM-supported model or a custom API relay
• you need MCP-compatible tooling for security automation

When to avoid

• you need a compliant, audited commercial pentesting platform
• you want fully automated testing without human oversight or LLM API costs
• you need a lightweight scanner rather than an agent framework

Facets

framework · maturity active

agent-framework penetration-testing mcp llm-inference security cli terminal-ui security penetration-testing large-language-models developer-tools python windows cli pentesting red-team bug-bounty blackbox-testing ctf-tools knowledge-graph litellm tui ai-security ai-agents command-line linux macos docker

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markdown · JSON · MCP: product_card(name="GH05TCREW/pentestagent")