Modular components allow agentic AI systems to be built with interchangeable and independently upgradable parts. This flexibility enables developers to scale the system efficiently by adding, removing, or modifying modules without redesigning the entire architecture. As a result, the system can adapt to new tasks or environments with minimal overhead.
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