sindresorhus/awesome
A curated collection of awesome lists covering a wide range of technology topics and development resources.
Awesome AI Agents › Multi-Agent Surveys
taichengguo/LLM_MultiAgents_Survey_Papers
This project is a comprehensive repository and survey paper collection focused on Large Language Model (LLM) based Multi-Agent systems. It provides an extensive overview of the progress and challenges in the field of multi-agent systems that leverage LLMs for various applications. The repository categorizes and maintains a curated list of research papers, organized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. Each category includes recent and relevant papers that explore different aspects of multi-agent systems, such as frameworks for building multi-agent architectures, methods for orchestrating and improving the efficiency of agent interactions, applications of multi-agent systems in problem-solving tasks like software development and embodied agents, simulations of complex worlds including societies and economies, and datasets and benchmarks for evaluating multi-agent systems. The repository also features visual summaries and architecture diagrams to help users understand the structure and trends in LLM-based multi-agent research. It is regularly updated with new papers every two weeks, ensuring that it remains a current and valuable resource for researchers and practitioners interested in this rapidly evolving area. The project encourages community contributions and feedback to maintain the comprehensiveness and accuracy of the paper list. Overall, this repository serves as a centralized knowledge base and reference point for anyone studying or working with LLM-based multi-agent systems, providing easy access to a wide range of scholarly articles and insights into the state-of-the-art developments and future directions in this field.
https://github.com/taichengguo/LLM_MultiAgents_Survey_Papers
Also in Multi-Agent Surveys
Paitesanshi/LLM-Agent-Survey
A comprehensive survey on the construction, application, and evaluation of autonomous agents powered by large language models, providing a foundational resource for researchers and practitioners in the field.
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.
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.