nyuctf_agents

The NYU CTF Automation Framework comprises advanced LLM agents designed to automate the solving of Capture the Flag (CTF) challenges within a Docker environment. Key components include the D-CIPHER multi-agent framework, which features a planner, executor, and auto-prompter for enhanced problem-solving interactions, as well as a baseline agent for comparison purposes. This framework is intended for researchers and developers aiming to leverage AI in cybersecurity competitions and is built to facilitate easy setup and experimentation with CTF datasets.