Tools/sooryathejas/METATRON

METATRON

AI-powered penetration testing assistant using local LLM on linux (Parrot OS)

3.4k+2/wkemergingPythonMIT Licensetrending

The Lens

By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.

Updated Jun 2026

METATRON runs penetration tests with a local LLM doing the analysis. Point it at a target and it executes nmap, nikto, whois, and other standard security scans, then feeds the results to an LLM running on your machine for vulnerability assessment and exploit suggestions. Everything stays local, nothing hits the cloud.

Built specifically for Parrot OS (a Linux pen-testing distro), it stores findings in MariaDB and exports reports as PDF or HTML. The LLM integration means you get natural language explanations of scan results instead of parsing raw nmap output yourself. It's essentially a security analyst copilot that runs offline.

Security professionals and pen-testers who want AI assistance without sending scan data to external APIs get the most out of this. Students learning security will appreciate the explanations. Experienced red teamers might find the tool suggestions basic compared to their existing workflow.

The catch: Parrot OS only, which limits the audience significantly. The local LLM quality depends entirely on your hardware, and smaller models give vague or wrong security advice.

Free vs Self-Hosted vs Paid

fully free

Free Tier

Everything. MIT-licensed, fully open source.

Self-Hosted

This IS self-hosted. Requires Parrot OS, MariaDB, Python, and a local LLM. Hardware requirements depend on the LLM you run. Needs a GPU for decent inference speed.

Paid

Doesn't exist.

Completely free and open source. Bring your own hardware for the LLM.

What to do by team size

Solo
free if you already own the GPU
Small team
free software; the hardware for local inference is the cost
Medium team
free, but budget GPU capacity for the whole team
Large team
free, though at this size paid hosted inference usually beats buying GPUs
Self-hosting ops:moderate

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Score
61/100 · B
Adoption17/30
Maintenance10/25
Community9/20
License15/15
Analysis10/10

A low score is not a verdict on quality. Young and niche tools start low by design. How we calculate scores

Trust Signals

Growing adoption: 2,375 starsPermissive license (MIT)

License: MIT License

Use freely, including commercial. Just keep the license.

Commercial use: ✓ Yes

About

Owner
Soorya Thejas (User)
Stars
3,441
Forks
688

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