Large Language Agents: Architectures

The paper introduces Cognitive Architectures for Language Agents (CoALA), a framework that organizes and guides the development of language agents by integrating principles from cognitive science and symbolic AI. CoALA proposes modular memory, structured action spaces, and a generalized decision-making process. The framework aims to contextualize current advancements and direct future progress toward language-based general