ИИ-агенты
pentagi
Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI
★ 25,3 тыс. звёздMIT
Смотреть руководство →PentestGPT — проект с открытым исходным кодом из категории «ИИ-агенты» от GreyDGL (GreyDGL/PentestGPT на GitHub). У него 15 834 звезды на GitHub и 2 761 форк, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 14 июля 2026.
Automated penetration-testing agent framework powered by LLMs, published at USENIX Security 2024.
Only test systems you own or are explicitly authorized to assess; note the target address and any instructions for the engagement.
Clone the repo and run make install, which uses uv to sync dependencies; a self-contained Docker image is also provided.
Install and authenticate the Claude Code or Codex CLI for autonomous runs, or configure a provider for the interactive multi-LLM mode.
Point pentestgpt at a target in CTF or pentest mode, watch the staged pipeline work, and resume later from a saved session if needed.
The agent works through staged phases and feeds each stage's findings into the next, for both CTF and penetration-test workflows.
Drives Claude Code or Codex to run tools and reason through a target without human intervention at each step.
Covers Web, Crypto, Reversing, Forensics, PWN and Privilege Escalation challenge categories.
Save and resume penetration testing sessions instead of restarting long engagements from scratch.
Tracks steps in real time with live activity updates as the agent works through a challenge.
The modernized legacy mode supports OpenAI, Anthropic, Gemini, DeepSeek, xAI, Qwen, Moonshot and local Ollama providers.
Clone PentestGPT and enter the project directory.
git clone https://github.com/GreyDGL/PentestGPT.git
cd PentestGPTInstall the project with the Makefile target, which runs uv sync (Python 3.12+ and uv required).
make installStart the agent against a target you are authorized to test; CTF mode is the default.
pentestgpt --target 10.10.11.234It is maintained by GreyDGL and contributors, and the underlying research was published at USENIX Security 2024.
The code is MIT-licensed and free. Only use it against systems you own or are authorized to test.
Usually: autonomous mode needs an authenticated Claude Code or Codex CLI, and interactive mode uses your own provider keys, though local Ollama is supported there at no API cost.
PentestGPT adds a staged pipeline, tool execution, live walkthrough tracking and session persistence around the model, instead of one-off chat answers you must act on manually.
Clone the repo, run make install, authenticate a backend CLI, then run pentestgpt --target <ip> against an authorized lab target.
Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.