GoKawiilStartup argues AI memory plugins are flawed RAG, pushes documentation instead
A technical essay critiques the common architecture behind AI agent 'memory' plugins, describing them as systems that chop conversation transcripts into snippets, store them in vector databases, and retrieve the most similar ones per prompt. The author argues this retrieval-by-similarity approach fails to give agents real understanding of a project, and proposes that agents instead need structured documentation rather than memory snippets.