Llm

Why the durable, self-updating memory layer, not context-window size, is becoming the differentiator for long-running agents, and how open-source frameworks are converging on vector-store and knowledge-graph architectures borrowed from human cognition.

Andrew Ng's 2024 numbers made the empirical case that workflows beat models. By 2026 the missing layer is no longer the framework but the runtime: durable execution and durable memory. A single prompt has no state to lose; an agent does.