A revolutionary software infrastructure designed to manage and coordinate multiple AI agents working together to complete complex tasks without constant human intervention. Unlike traditional operating systems that manage hardware and software resources, agentic operating systems provide a framework for task decomposition, agent assignment, communication protocols, and result validation. These systems enable agents to access tools, share information, and adjust strategies dynamically based on changing conditions. Key components include a goal-oriented planner, a memory management system for storing agent interactions, a tool integration layer, and a security framework to prevent unauthorized actions. In 2026, agentic operating systems have become the backbone of enterprise automation, powering applications like customer service, supply chain management, and financial analysis. Leading examples include Step Agent OS, which enables multi-agent collaboration for industrial optimization, and Autonomous Workspace, which automates knowledge work by coordinating research, writing, and presentation agents. A 2026 McKinsey report found that companies using agentic operating systems achieved 45% higher productivity in knowledge-intensive tasks compared to those using traditional RPA tools.