An execution graph is a structured representation of every task, agent action, decision, and dependency in a system — connected as nodes and edges so relationships between actions are explicit, traceable, and reversible.
An execution graph is a structured map of every agent action, task, and decision in a system — with explicit dependencies between nodes so that the relationship between actions is traceable and reversible.
AEROSS uses the execution graph as its core coordination primitive. Every agent action is a node, every dependency is an edge, and every change is logged — giving enterprises full observability and reversibility across their AI operations.