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What is secorizonai?

secorizon/secorizonai — explained in plain English

Analysis updated 2026-05-18

21GoAudience · ops devopsComplexity · 4/5LicenseSetup · hard

In one sentence

A local, terminal based AI shell for security professionals that can plan and execute shell commands during authorized pentest engagements.

Mindmap

mindmap
  root((SecorizonAI))
    What it does
      Terminal AI shell
      Executes shell commands
      Built in web search
    Tech stack
      Go binary
      Ollama local model
      JSON tool use loop
    Use cases
      Authorized pentest recon
      CVE lookups
      Automate repetitive commands
    Audience
      Security professionals
    Setup
      Install Ollama
      Build single Go binary
      Docker recommended

Code map

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What do people build with it?

USE CASE 1

Run an AI assisted terminal shell locally during an authorized penetration test.

USE CASE 2

Automate repetitive recon and enumeration commands during a security assessment.

USE CASE 3

Look up current CVEs or advisories through built in web search while working in the terminal.

What is it built with?

GoOllama

How does it compare?

secorizon/secorizonaiabolix/xplexdondai1234/agent-browser
Stars212020
LanguageGoGoGo
Setup difficultyhardhardeasy
Complexity4/53/52/5
Audienceops devopsops devopsdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1h+

Requires installing Ollama, pulling a local model, and building the Go binary before first use.

You can use, modify, and redistribute it freely, but you cannot sell it or resell it as a paid product or service without a commercial license.

So what is it?

SecorizonAI is a command line AI assistant built specifically for penetration testers, security professionals who are hired to find vulnerabilities in systems they are authorized to test. Instead of an AI that suggests commands for you to type, this one actually executes shell commands: you describe a task, the AI plans and runs the steps, reads the output, and continues until the job is done. The core loop is simple: your message goes to a local AI model, the model replies with text for you plus an optional shell command to run or a web search to perform, the tool executes those actions and feeds the results back, and the cycle repeats until the model says it is finished. A key design decision is that all AI inference, the process of running the model, happens locally on your own hardware via Ollama, a tool for running AI language models offline. No data is sent to a cloud provider, and no API key is required for the main AI functionality. Built in web search is included for fetching current vulnerability advisories or recent write ups, and it also requires no API key. The entire tool compiles to a single Go binary with one dependency, making it easy to install. The system prompt, the set of instructions that shape how the AI behaves, is a plain Markdown file you can edit and replace. The repository ships a skeleton example. Detailed pentesting playbooks covering reconnaissance, web testing, exploit development, and Active Directory assessment are part of a paid Pro offering rather than the open source package. You would use this if you want an AI assistant that runs on your own machine and can execute authorized security testing tasks directly rather than only advising. Running it inside Docker is recommended so the agent's commands stay sandboxed from your main filesystem, and the project notes it has no built in authentication of its own.

Copy-paste prompts

Prompt 1
Explain the JSON tool use loop SecorizonAI runs between the local model and the shell.
Prompt 2
Walk me through setting up Ollama and running SecorizonAI with a local model.
Prompt 3
How does SecorizonAI's Docker deployment sandbox agent commands from my filesystem?
Prompt 4
What is included in the open source skeleton system prompt versus the paid Pro playbooks?

Frequently asked questions

What is secorizonai?

A local, terminal based AI shell for security professionals that can plan and execute shell commands during authorized pentest engagements.

What language is secorizonai written in?

Mainly Go. The stack also includes Go, Ollama.

What license does secorizonai use?

You can use, modify, and redistribute it freely, but you cannot sell it or resell it as a paid product or service without a commercial license.

How hard is secorizonai to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is secorizonai for?

Mainly ops devops.

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