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COUNTERMEM: World-Model Verified Counter-Factual Memory for Language Agents
Existing agent memory frameworks mainly create memory through an agent's interaction with the factual world, e.g., remembering feedback from actions taken to improve performance on future tasks. However, these frameworks seldom ask the "what if" question during memory construction: what if a differe
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