vxcontrol/pentagi
pentagi
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
Stars17,047
Forks2,335
LanguageGo
LicenseMIT
Overview
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
Best for
- Evaluating pentagi for Go AI workflows.
- Comparing a GitHub project with 17,047 stars and current repository activity.
Pros
- pentagi has visible GitHub traction with 17,047 stars. Topics: ai-agents, ai-security-tool, anthropic.
- The project provides an external homepage for deeper evaluation.
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
pentagi 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
wget -O installer.zip https://pentagi.com/downloads/linux/amd64/installer-latest.zipdocker pscurl -o .env https://raw.githubusercontent.com/vxcontrol/pentagi/master/.env.examplecurl -o example.custom.provider.yml https://raw.githubusercontent.com/vxcontrol/pentagi/master/examples/configs/custom-openai.provider.ymlcurl -o example.ollama.provider.yml https://raw.githubusercontent.com/vxcontrol/pentagi/master/examples/configs/ollama-llama318b.provider.yml