What is an artificial intelligence agent lifecycle?
Definition
Lifecycle management gives an agent task explicit states such as starting, working, blocked, waiting for approval, idle and finished. Direct runtime events make those transitions more reliable than inferring them only from terminal text.
Clear lifecycle states support orchestration because another agent or a person can wait for a defined condition before acting. Transitions should be durable, observable and able to represent failure or restart without pretending unfinished work completed.
Acronyms and aliases
AI agent lifecycle acronymagent lifecycle variant
Related terms
Frequently asked questions
What states can an artificial intelligence agent lifecycle include?
It can include starting, working, blocked, waiting for approval, idle, completed, failed and recovering.
Why are lifecycle hooks useful?
Hooks provide authoritative events for state transitions, allowing monitoring and orchestration to react without guessing from screen output.
