LLM Powered Autonomous Agents

ABSTRACT

This long-form technical article explores the design of autonomous agents built on top of large language models. It explains key architectural components such as planning modules, memory systems, tool usage, and execution loops. The article synthesizes research ideas and engineering practices to explain how complex agent systems are constructed. It also highlights limitations such as hallucination, reliability challenges, and evaluation difficulties.