This repository is a curated collection of research papers on Large Language Model (LLM) agents, designed for researchers and practitioners seeking a structured overview of the field. It categorizes papers by agent construction, collaboration, evolution, tools, security, benchmarks, and applications, providing a comprehensive resource to navigate the rapidly evolving landscape of LLM agent research.

How It Works

The repository functions as a living bibliography, systematically organizing and presenting academic literature on LLM agents. It aims to bridge fragmented research by highlighting connections between different methodologies, applications, and challenges, offering a structured taxonomy for understanding agent architectures, interaction frameworks, and emergent behaviors.

Quick Start & Requirements

This repository is a collection of research papers and does not require installation or execution. All resources are accessible via provided links.

Highlighted Details

• Comprehensive categorization of LLM agent research across key areas.
• Includes a survey paper detailing methodology, applications, and challenges.
• Regularly updated with recent publications, with a significant increase noted since 2023.
• Provides a structured taxonomy for understanding agent design principles and emergent behaviors.

Maintenance & Community

The repository is actively maintained, with contributions welcomed via pull requests or issue submissions. Contact information for maintainers is provided for questions and suggestions.

Licensing & Compatibility

The repository itself is not software and does not have a software license. The content consists of links to research papers, whose licenses are independent.

Limitations & Caveats

This repository is a curated list of papers and does not provide code, implementations, or direct access to LLM agent systems. The "links" provided are placeholders and may not always lead to accessible resources.