sindresorhus/awesome
A curated collection of awesome lists covering a wide range of technology topics and development resources.
Awesome AI Agents › Multi-Agent Surveys
A curated collection of awesome lists covering a wide range of technology topics and development resources.
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.
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.
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.
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.
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.
A comprehensive and regularly updated repository surveying research papers on Large Language Model-based agents applied to various software engineering tasks and agent architectures.
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.
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.
LLM-Agent-Benchmark-List is a curated and continuously updated collection of benchmarks for evaluating the performance and capabilities of large language models and agent-powered AI systems across various domains.
A knowledge base application designed to centralize and accelerate research on computer control agents by aggregating projects and benchmarks information.