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cs.AI2026
Is Complex Agentic Memory Always Needed? Naive RAG Is Stronger Than We Thought
Zhengye Bao, Shengtao Zhang, Haokai Zhang +3
LLM memory is widely used in long-term conversation understanding. Agentic memory systems often use mutation, structural organization, learned retrieval strategies, or other comple…
cs.AI2026
Spatial Memory Agent: Experience-Grounded Procedural Memory for Spatial Intelligence
Haokai Zhang, Yuhang Ding, Yunshu Zhou +5
Spatial intelligence is becoming a foundation for embodied agents, robotic planning, and multimodal assistants. To improve the spatial reasoning ability of VLMs, existing work has…
cs.AI2026
MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs
Junwei Liao, Haoting Shi, Ruiwen Zhou +9
Episodic memory allows LLM agents to accumulate and retrieve experience, but current methods treat each memory independently, i.e., evaluating retrieval quality in isolation withou…