Find XO: AI Agents Need Document Records More Than Memory (liao.gg)

- Existing memory plugins divide conversation logs into thousands of pieces, store them in a vector database, and retrieve a few most similar ones to attach upon user commands. - This method only assesses similarity of information and cannot ensure that the data is always accurate or up-to-date; it also fails to reflect the project's overall context or changes. - The author argues that these memory plugins solve the wrong fundamental problem; what agents really need is not 'memory' but well-organized and continually updated 'documents'. - The author developed an open-source plugin called Operator Memory that allows agents to read collections of documents in Markdown format, update them when necessary, and work accordingly.