Summary
The article discusses the evolution of AI agent development, moving beyond 'token-maxxing' to emphasize agentic memory as the next crucial step. It highlights that the context window is a scarce resource and proposes a persistent, queryable memory system backed by semantic search to optimize AI agent performance and economics.
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