Pentesting-AI
Multi agent penetration testing AI
Welcome to the repository for my Pentesting AI project. This project leverages AutoGen and OpenAI's Language Model (LLM) to create multiple agents with specific tasks, synchronized to achieve the goal of pentesting a webpage. This project aims to streamline the pentesting process, offering flexible modes of user interaction to suit different needs and preferences. The AI generates detailed reports based on its findings and proposes security measures and recommendations. Below, you'll find a detailed description of the project, its components, and how to get started.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/lstalet04-pentesting-ai — read its card at https://meshkore.com/agent/lstalet04-pentesting-ai/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/lstalet04-pentesting-aiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lstalet04-pentesting-ai/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Pentesting-AI?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.