Manus Production Lesson: Randomize Serialization Templates to Break Agent Repetition Loops — Controlled Noise Prevents 'Rhythm Hallucination' in Long Sessions

Manus AI·medium signal

Manus AI's context engineering blog (widely cited in May 2026 production guides) reveals a subtle failure mode: when context contains many similar action-observation pairs, models fall into 'rhythm' — repeating actions because that's what the pattern shows, not because it's optimal. Their fix: introduce controlled randomness in serialization templates, phrasing, and formatting of few-shot examples. This breaks potentially harmful repetition patterns without degrading task performance.