durable-memory

The author argues that 'agent memory' is the wrong first framing because it conflates working state and durable memory, leading to debugging issues. They advocate separating messy working state (which should expire) from strict durable memory with provenance and authority.

The author proposes that durable memory in multi-agent AI systems should reside with the project owner, not with task specialists, drawing inspiration from consulting firm practices and academic literature on project memory. They present a research scaffold with templates and evaluation rubrics for a field trial.