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AI agents repeatedly make same decision due to lack of memory

An AI routing agent repeatedly made the same decision 47 times, each instance requiring deliberation and token consumption without retaining memory of previous outcomes. This led to inefficient "planner tax" as the agent treated each decision as novel. The author suggests that older cognitive architectures like SOAR (1987) could offer a solution by prioritizing recall over repeated reasoning. AI

IMPACT Repeated decision-making without memory in AI agents highlights a need for improved state management and recall mechanisms in agent development.

RANK_REASON The cluster discusses a personal observation about AI agent behavior and suggests a solution based on older architectures, fitting commentary.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI agents repeatedly make same decision due to lack of memory

COVERAGE [2]

  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…

  2. Mastodon — mastodon.social TIER_1 English(EN) · praveenLavu ·

    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…