The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey provides an in-depth review of the state-of-the-art in AI agent systems. Explore the details in the full text: Emphasizing the needs for versatile agents, this survey points towards:

• Complex Goal Achievement: What it takes for agents to handle enhanced reasoning and detailed planning.
• Architectural Advances: Analysis of single and multi-agent systems and their capabilities in practical applications.
• Future Outlook: Suggesting paths for future developments based on current limitations and achievements.

Understanding these architectures allows for better design and implementation of AI systems capable of complex interactions and decision-making, crucial for fields such as autonomous vehicles and strategic game development. The paper encourages looking at different hardware constraints and user scenarios to push the boundary of what AI agents can achieve.