The Cognitive Foundry is a unified collection of tools for Cognitive Science and Technology applications, supporting the development of intelligent agent models. The Foundry has two primary components designed to facilitate agent construction: the Cognitive Framework and Machine Learning packages. The Cognitive Framework provides design patterns and default implementations of an architecture for evaluating theories of cognition, as well as a suite of tools to assist in the building and analysis of theories of cognition. The Machine Learning package provides tools for populating components of the Cognitive Framework from domain-relevant data using automated knowledge-capture techniques. This paper describes the Cognitive Foundry with a focus on its application within the context of agent behavior modeling.