Short-Term Agent Memory refers to the temporary information storage mechanism used by agentic AI systems to retain, access, and reason over recent interactions, observations, intermediate decisions, and contextual signals while performing a task.
A single-agent system is an AI setup in which a single autonomous agent is responsible for interpreting inputs, deciding what to do next, and executing actions to achieve a goal.
State Tracking is the mechanism by which an agentic AI system continuously represents, updates, and maintains an internal model of its current situation.
