MemAdapter to Mitigate Memory-Induced Sycophancy in LLM Agents
October 3, 2026
MemAdapter addresses how long-term memory causes agents to over-align with inaccurate user beliefs. Unlike simple filtering, it adapts the influence of memories based on context to prevent sycophancy while maintaining useful personalization.
HOW THIS AFFECTS YOU
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builderYou can build more objective agents that use long-term memory without inheriting user biases or outdated information.
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researcherThis framework explores the complex relationship between memory influence and contextual relevance.