Four shell scripts beat a graph database

Everyone's building complex memory infrastructure for AI agents - vector databases, graph s, retrieval pipelines. We built ours with shell scripts and markdown files. It's been running for weeks. Here's why simple won. The problem everyone's solving wrong The standard approach to AI memory goes something like this: record everything the agent does. it in a searchable format. When the agent wakes up, query the for relevant context. Feed the results into the prompt. This is retrieval. It assumes the hard part is finding the right memory at the right time.