sindresorhus/awesome
A curated collection of awesome lists covering a wide range of technology topics and development resources.
Awesome AI Agents › Multi-Agent Surveys
Paitesanshi/LLM-Agent-Survey
This project is a comprehensive survey on LLM-based autonomous agents, which are AI systems designed to achieve specific goals through self-guided instructions using large language models (LLMs) as core controllers. The survey addresses the rapid growth and emerging trends in this field by systematically analyzing the construction, application, and evaluation of these autonomous agents. It identifies and explores the essential components of an AI agent, including profile, memory, planning, and action modules, providing a structured framework for understanding how these agents operate. The survey also investigates the diverse applications of LLM-based autonomous agents across various domains such as natural sciences, social sciences, and engineering, highlighting their versatility and impact. Furthermore, it discusses evaluation strategies for these agents, covering both subjective and objective methods to assess their performance and effectiveness. The project includes detailed figures and tables that illustrate key concepts like planning approaches and the evolutionary path of model capability acquisition from traditional machine learning to the agent era. It also provides an optimized classification system for better organization and understanding of the field. The survey is notable for being the first published and accepted paper in this domain, serving as a valuable resource for researchers and practitioners by offering insights, references, and continuous updates. The repository contains links to the survey paper, related research works, and codebases of various LLM-based autonomous agents, facilitating further exploration and development. Overall, this project contributes significantly to the academic and practical understanding of autonomous agents powered by large language models, fostering advancements in AI agent design and application.
https://github.com/Paitesanshi/LLM-Agent-Survey
Also in Multi-Agent Surveys
AGI-Edgerunners/LLM-Agents-Papers
A comprehensive repository listing academic papers related to large language model (LLM) based agents, covering surveys, enhancement techniques, interactions, applications, automation, training, scaling, stability, and infrastructure.
taichengguo/LLM_MultiAgents_Survey_Papers
A comprehensive repository and survey of research papers on Large Language Model based Multi-Agent systems, covering frameworks, orchestration, problem solving, world simulation, and datasets.
LightChen233/Awesome-Long-Chain-of-Thought-Reasoning
A comprehensive repository and survey paper focused on the latest advances and research in long chain-of-thought reasoning for large language models, providing resources, taxonomy, and future directions to enhance AI reasoning capabilities.
yinizhilian/ICLR2025-Papers-with-Code
A comprehensive and regularly updated collection of ICLR papers and open-source projects focusing on large language models and NLP research from 2021 to 2025.
FudanSELab/Agent4SE-Paper-List
A comprehensive and regularly updated repository surveying research papers on Large Language Model-based agents applied to various software engineering tasks and agent architectures.
OS-Agent-Survey/OS-Agent-Survey
This repository hosts a comprehensive survey paper on OS Agents, which are MLLM-based agents that operate within operating system environments to automate tasks on computers, phones, and browsers, providing insights into foundational models, frameworks, evaluation, and safety aspects.
shure-dev/Awesome-LLM-Papers-Comprehensive-Topics
A comprehensive curated repository of over 500 research papers and repositories covering a wide range of topics related to Large Language Models and their applications.