• Kamal Nayanam
• Vatsala Sharma

Independents agents have long been a analysis centre in academic and industry production group. Early analysis frequently focuses on instruction agents with little knowledge within isolated environments, which diverges notably from being learning processes, and makes the agents hard to achieve human-like conclusion. Recently, through the property of vast amounts of web knowledge, large language models (LLMs) have shown potential in human-level intelligence, leading to a surge in research on LLM-based independent agents. In this paper, we present a overview survey of these studies, carry a systematic review of LLM based autonomous agents from a integral perspective. We first discuss the establishment of LLM-based independent agents, proposing a unified framework that surround much of previous work. Then, we present an overview of the diverse applications of LLM-based autonomous agents in social science, natural science, and engineering. Finally, we explore into the evaluation plan of action commonly used for LLM-based autonomous agents. Based on the previous studies, we also present several challenges and future regulation in this field.

AgentAI , Artificial Intelligence, LLM Based Agents, Autonomous agent.

" A survey on Framework, Architecture & Evolution Large Language Models AIAgents.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.c392-c403, September-2025, Available :http://www.jetir.org/papers/JETIR2509247.pdf

" A survey on Framework, Architecture & Evolution Large Language Models AIAgents.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppc392-c403, September-2025, Available at : http://www.jetir.org/papers/JETIR2509247.pdf