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AI systems need to forget information to maintain efficiency and relevance. Remembering everything can lead to bloated storage, slower performance, and poor decision-making. Common forgetting techniques include timestamp-based decay, least recently used (LRU), relevance scoring, sliding windows, and summarization. These strategies help AI agents manage memory by keeping important information while discarding less...

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