LLM Agent Papers is an open-source repository that curates research papers related to large language model agents and autonomous AI systems. The project organizes academic literature that explores how language models can act as agents capable of reasoning, planning, and interacting with external tools or environments. Rather than providing software code, the repository functions as a structured knowledge base that helps researchers navigate the rapidly expanding field of agent-based AI research. Papers are categorized into thematic groups covering topics such as tool use, planning algorithms, reasoning strategies, and multi-agent collaboration. The repository helps readers understand how agent architectures are evolving and how they are applied in domains such as robotics, software automation, and decision-making systems. It also provides references to influential works that define the conceptual foundations of agent-based AI systems.

Features

  • Curated collection of research papers related to LLM-based agents
  • Categorization of papers by agent architectures and research topics
  • Coverage of planning, reasoning, and tool-use strategies in AI agents
  • Resource for understanding emerging agent-based AI systems
  • Regular updates that track new research developments in the field
  • Educational reference for researchers studying autonomous AI agents

Project Samples

Project Activity

See All Activity >

Follow LLM Agents Papers

LLM Agents Papers Web Site

Other Useful Business Software
Iris Powered By Generali - Iris puts your customer in control of their identity. Icon
Iris Powered By Generali - Iris puts your customer in control of their identity.

Increase customer and employee retention by offering Onwatch identity protection today.

Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of LLM Agents Papers!

Additional Project Details

Registered

2026-03-05