Independent teams developing agent infrastructures are converging on a three-component architecture: persistent context, capability configuration, and execution environment. This structural similarity is driven by the distinct lifecycle requirements of each component, ensuring separation for security, flexibility, and performance. Developers should watch how governance models evolve around these standardized components to determine future innovation speeds in AI capabilities.
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