Author proposes nightly verification for agent memory

The author argues that AI agent memory fails when relying solely on static storage because entries quickly become stale and confidently incorrect. To solve this, the piece outlines a practical system using Git files, a daily automated verification pass with a deletion cap, and a learning mechanism derived from human code review merges rather than feedback loops. Open article →