The Rise and Potential of LLM-Based Agents

Agent architecture: Organizes the space by core agent components - perception, brain (planning, memory, reflection), and action - giving a clean compositional view.

Single-agent vs. multi-agent: Reviews both single-agent systems and multi-agent societies, covering coordination patterns and emergent behaviors.

Application landscape: Catalogs the applications where LLM agents were showing promise at the time, from software engineering to scientific research to social simulation.

Societal implications: Dedicated discussion of "harnessing agents for good" - safety, alignment, and governance considerations specific to agent deployment.