MemFit: Efficient Long-Term Agentic Memory
Long-term memory systems for large language models (LLMs) have gained popularity for extending reasoning capabilities across applications. Current memory systems rely on LLM agents to organize and consolidate memory, resulting in costly, inefficient write operations. To address this limitation, we propose MemFit, a lon...
Mitchell Piehl, Mu-Chao Ye
· 0 citations