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zjunlp/LLMAgentPapers

A comprehensive and curated collection of must-read research papers on Large Language Model (LLM) agents, categorized for easy navigation.

Core Features

Categorized papers on single LLM agent components (e.g., Personality, Memory, Planning, Tool Use).

Dedicated sections for multi-agent systems, including collaborative and adversarial interactions.

Includes papers on LLM agent applications and frameworks.

Provides supplementary resources such as benchmarks and tool lists.

Regularly updated with new research papers in the field.

Detailed Introduction

LLMAgentPapers is an invaluable GitHub repository serving as a meticulously curated collection of essential research papers focused on Large Language Model (LLM) agents. It aims to provide researchers, developers, and enthusiasts with a structured overview of the rapidly evolving field. The collection is thoughtfully organized into various categories, covering fundamental aspects of single-agent design like memory and planning, as well as complex multi-agent interactions. By centralizing key academic contributions, this project significantly streamlines the process of staying informed about the latest advancements, applications, and frameworks in LLM agent technology, making it a go-to resource for in-depth study and exploration.