Run controlled cybersecurity agent workflows with CAI

Run controlled cybersecurity agent workflows with CAI

Use CAI to run research and bug-bounty-oriented security agents with model routing, tool integrations, tracing, MCP support, and human oversight.

Prerequisites

Python, cai-framework, model provider credentials, optional Docker and MCP servers

Installation

Use the upstream install or setup path that matches your environment:

• pip install cai-framework
• brew update && \
• brew install git python@3.12
• #build and run docker compose Build takes around 20 min.

Requirements and caveats from upstream:

• Explord the Cybersecurity of Humanoid Robots with CAI and identified new attack vectors showing how it (a) operates simultaneously as a covert surveillance node and (b) can be purposed as an active cyber operations pl...

• Fetch Python 3.12

• So as an alternative you can use the docker compose file in the dockerized folder instead. This also works from within wsl if docker is installed.

Basic usage or getting-started notes:

• :information_source: Usage Data Collection

• | Episode 3: Vibe-Hacking Tutorial | "My first Hack" - A Vibe-Hacking guide for newbies. We demonstrate a simple web security hack using a default agent and show how to leverage tools and interpret CAI output with...

• source cai_env/bin/activate && pip install cai-framework

• Source: https://github.com/aliasrobotics/cai

• Extracted from upstream docs: https://raw.githubusercontent.com/aliasrobotics/cai/HEAD/README.md

Documentation

• https://aliasrobotics.github.io/cai/

Source

• Agent Skill Exchange