Agent Memory Is Not Merely a Storage & Retrieval Problem, It Is an Architecture Problem.

Short summary

Agent memory is an architecture problem, not a storage problem that bigger models will solve. The author proposes a lifecycle approach—ingestion, scoping, decay, and retrieval—each requiring deliberate design decisions. Most token waste in agent systems comes from carrying forward context that no longer earns its place, and treating cost as a lifecycle property rather than a post-hoc optimization.

• •Agent memory requires architectural decisions across ingestion, scoping, decay, and retrieval stages
• •Most token spend is wasted on stale context carried forward in shared-buffer designs
• •Author published a 23-page paper with evaluation harness and study data on agentic context management

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