Overloading a primary AI agent with the task of managing its own memory is inefficient and unscalable. The industry is moving towards a new architectural pattern: a dedicated 'memory agent' whose sole function is to curate and verify knowledge for a fleet of 'worker' agents.
The AI industry is heavily investing in memory storage infrastructure (the warehouse). However, academic research reveals the critical, unsolved challenges are in curation, consolidation, and verification—tasks requiring a dedicated 'librarian' agent, not just a bigger box to store information.
The widespread adoption of plain text files for AI agent memory was an easy default, not a strategic design. This convenience has created significant technical debt, now requiring complex, manual 'hygiene rules' and proving that simple starting points often fail to scale.