Emerging AI Agent Architectures
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A short survey mapping the current landscape of LLM-based agent architectures, focused on reasoning, planning, and tool calling as the three capability pillars for complex agentic workflows.
Capability pillars: Reasoning, planning, and tool/API execution are treated as the core primitives; most modern agent frameworks are characterized as different combinations and orchestrations of these three.
Single- vs multi-agent patterns: The survey separates single-agent architectures (ReAct-style loops, tool-augmented chains) from multi-agent patterns (leader/follower, debate, specialized role teams) and contrasts their trade-offs.
Phases and meta-design: Describes how planning, execution, and reflection phases combine inside agents, and how choices like leadership structure and communication style materially affect reliability.
Honest assessment: The survey explicitly calls out present-day limitations - brittleness, evaluation difficulty, and the gap between demos and deployable systems - grounding future-direction discussions.
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