This paper provides a textured overview of AI agent architectures with a glance at their reasoning, planning, and tool-calling abilities. Here, nuanced survey findings are discussed in order to foster better design and implementation of AI agent systems.

• Design diversifications between single-agent and multi-agent systems
• Examination of agent’s ability to influence systemic operations
• Insightful observations on real-world applicable AI agents
• Forward-looking considerations for AI architecture

In bringing deep insights from varied AI systems, this paper acts as a pivotal resource for researchers and practitioners focusing on the evolution and application of AI agent strategies.