[Paper Review] SimpleMem: Efficient Lifelong Memory for LLM Agents
This post is a review of SimpleMem: Efficient Lifelong Memory for LLM Agents. Some parts of the paper have been updated after this post was written (2026-01-24), so there may be differences from the version discussed here. Background LLMs are fundamentally stateless. As a result, previous inference outputs do not directly affect later outputs. Because of this property, a plain LLM can fail to maintain continuity in long conversations. In other words, it may look like short-term memory loss, where it cannot remember what was just discussed. ...