Agents 2.0: From Shallow Loops to Deep Agents
Read OriginalThis article details the shift from 'Shallow Agents' (Agent 1.0), which rely on simple loops and LLM context, to 'Deep Agents' (Agent 2.0). It explains the limitations of shallow architectures for complex tasks and introduces the core pillars of deep agents: explicit planning, hierarchical delegation, persistent memory, and robust execution loops for solving multi-step problems.
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