LLMAgentPapers and Awesome-Agent-Papers
These are competitors—both are curated paper collections surveying LLM agent research with similar scope and audience, so users would typically choose one as their primary reference rather than using both.
About LLMAgentPapers
zjunlp/LLMAgentPapers
Must-read Papers on LLM Agents.
This resource provides a curated collection of must-read academic papers focused on Large Language Model (LLM) agents, covering various aspects like agent personality, memory, planning, tool use, and multi-agent systems. It helps AI researchers and practitioners stay updated with the latest advancements in designing and implementing intelligent agents powered by LLMs. The input is a topic within LLM agents, and the output is a list of relevant research papers.
About Awesome-Agent-Papers
luo-junyu/Awesome-Agent-Papers
[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges
This collection helps AI researchers and practitioners stay current with the rapidly evolving field of Large Language Model (LLM) agents. It provides a structured list of research papers, categorized by aspects like agent construction, collaboration, tools, and applications. If you're building or studying LLM agents, this resource offers a comprehensive overview of the latest methodologies and implementations.
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