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This course examines how autonomous and semi-autonomous software agents can be designed and deployed to support modern intelligence workflows. Taught by Gabriel Bernadett-Shapiro, a Distinguished AI Research Scientist at SentinelOne and adjunct lecturer at SAIS, the course introduces students to the conceptual foundations and practical implementation of agent systems for intelligence collection, monitoring, and analysis. The course explores how agents can automate open-source intelligence gathering, coordinate multi-agent analytical workflows, detect patterns across large datasets, and augment human analysts in strategic assessment. Through applied exercises and case studies from cyber threat intelligence and national security contexts, students learn how to configure agent architectures, build operational pipelines, and evaluate the methodological, operational, and ethical implications of agent-enabled intelligence systems.