Why AI Agents Get Stuck in Retry and Oscillation Loops

AI agents often fail to complete tasks because they lack built-in termination conditions, leading to retry loops where they repeat failed actions or oscillation where they undo progress. These issues stem from misread failures, no failure memory, or conflicting objectives. Solutions include explicit progress tracking and state hashing to detect cycling.