Markdown vs Vectors for Agent Memory

What does "memory" even mean for a coding agent? This episode unpacks the two competing patterns for giving AI agents persistent project memory: lightweight markdown files in the repo vs. vector databases with semantic retrieval. We explore why both approaches are still alive, what each one genuinely can't do, and where hybrid solutions break down into conflicting sources of truth. For solo developers managing dozens of repos, we break down the real tradeoffs — including a clever third option that keeps markdown as the single source of truth while adding a vector cache on top. Episode #441471 — open it directly at myweirdprompts.com/441471