AI RESEARCH
MemGym: a Long-Horizon Memory Environment for LLM Agents
arXiv CS.CL
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ArXi:2605.20833v1 Announce Type: new Memory is a central capability for LLM agents operating across long-horizon tasks. Existing memory benchmarks predominantly evaluate retention of personalized information in multi-turn chat scenarios, overlooking the dynamic memory formation that occurs during extended agent execution. Consequently, the memory systems they produce transfer poorly to realistic agentic environments, such as coding and web navigation.