A curated repository collecting papers on Large Language Model (LLM) based agents, primarily based on the 86-page systematic survey paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
One-Minute Overview#
This is a resource repository collecting papers on Large Language Model (LLM) based agents, covering comprehensive research from agent construction to practical applications and social behavior. If you're a researcher, developer, or student interested in the field of AI agents, this repository will help you systematically understand important research findings and development trends in this cutting-edge area.
Core Value: Provides systematic and comprehensive LLM agent research papers, helping users quickly master core knowledge in this frontier field.
Quick Start#
Installation Difficulty: Low - This is a paper repository, no installation required, can be accessed and used directly
Core Capabilities#
1. Systematic Paper Classification#
- Organizes papers into three dimensions: agent structure (brain, perception, action), application scenarios (single-agent, multi-agent, human-agent cooperation), and social behavior
2. Continuous Update Mechanism#
- Regularly adds the latest research results on LLM-based agents, including papers accepted by top conferences
3. Multi-dimensional Paper Evaluation#
- Includes analysis of paper content across multiple dimensions such as high-quality generation, deep understanding, knowledge representation, memory mechanisms, and reasoning planning
4. Visual Aids for Understanding#
- Provides charts and diagrams to assist in understanding the conceptual framework of LLM agents