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What Is Agent Lifecycle?

7.1BRAINROT SCORE

Agent Lifecycle The full sequence of states an AI agent moves through, from creation and setup to execution, monitoring, updating, and retirement.

Origin:Borrowed from software and product lifecycle framing once agents started being managed as long-lived operational entities.
First Seen:2025
Peak Era:2025-2026 (Agent Operations Era)
Aura Impact:+15 Aura (Managing Agents Like Real Systems) / -12 Aura (Building Them Fast And Forgetting Everything After Launch)

EXAMPLE USAGE

"Most teams had no agent lifecycle plan beyond 'ship it and hope the prompt survives.'"

Want the full breakdown — categories, trend velocity, platform distribution, and community voting on Agent Lifecycle? Visit the full dictionary entry for Agent Lifecycle.