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LLM agents can dramatically improve their long-horizon decision-making by strategically managing memory, with performance varying significantly based on memory structure.
Today's best AI agents fail at realistic software engineering tasks, stalling before even reaching 30% completion, revealing the urgent need for better long-horizon planning and human-AI collaboration.
