GreyDGL/PentestGPT
PentestGPT
Automated Penetration Testing Agentic Framework Powered by Large Language Models
36/100Agents
Stars13,218
Forks2,266
LanguagePython
LicenseMIT
Overview
Automated Penetration Testing Agentic Framework Powered by Large Language Models
Best for
- Evaluating PentestGPT for Python AI workflows.
- Comparing a GitHub project with 13,218 stars and current repository activity.
Pros
- PentestGPT has visible GitHub traction with 13,218 stars. Topics: large-language-models, llm, penetration-testing.
- The GitHub repository is the primary evaluation surface.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the MIT terms fit your use case.
Production readiness
PentestGPT should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
MIT is reported by GitHub; review the repository license before redistribution or commercial use.
Install
git clone --recurse-submodules https://github.com/GreyDGL/PentestGPT.gitmake installmake configmake connectpython3 run_benchmarks.py --range 1-1 --pattern-flag