Modular Agent Design: Building AI Systems Like Lego Blocks
Rather than one giant monolithic model, modern agent systems often use a modular architecture—with separate components for planning, memory, retrieval, and execution.
Benefits:
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Easier debugging
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Component reuse
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Improved interpretability
Modularity also allows you to plug in or swap out different models. See how AI agents use this strategy for scalable systems.
Use clear I/O contracts between modules—JSON schemas or function signatures—to reduce integration errors.
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