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AI agents repeatedly make same decision due to lack of memory

A developer observed their AI routing agent repeatedly making the same decision 47 times, each instance consuming tokens and deliberation without retaining memory of previous outcomes. This led to a "planner tax" where the agent essentially restarted its decision-making process from scratch each time. The developer noted that older cognitive architectures, like SOAR from 1987, offered a solution through recall, suggesting that memory integration could replace redundant reasoning in modern AI agents. AI

IMPACT Highlights a potential inefficiency in current AI agent design, suggesting memory integration could improve performance and reduce computational costs.

RANK_REASON Developer's observation and opinion on AI agent behavior.

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AI agents repeatedly make same decision due to lack of memory

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Watched my routing agent settle the same decision 47 times. Each time, it stopped, deliberated, burned tokens, and arrived at exactly the same answer. No memory

    Watched my routing agent settle the same decision 47 times. Each time, it stopped, deliberated, burned tokens, and arrived at exactly the same answer. No memory of being right. Every dispatch was the first dispatch. I was paying the planner tax on repeat. SOAR, a 1987 cognitive a…