LLMAgentPapers
VerifiedCurated collection of key papers on LLM agents.
What is LLMAgentPapers?
LLMAgentPapers is an open-source GitHub repository that compiles must-read papers on LLM-based agents. It structures content around core topics such as agent personality, memory systems, planning methods, and tool usage, along with sections on multi-agent communication and frameworks.
Users navigate the repository through its README, which includes recent updates, categorized paper lists with arXiv links, and additional resources like benchmarks. The project receives occasional new paper additions and cross-references related collections on reasoning and knowledge editing.
This resource targets AI researchers, graduate students, and developers who need a structured way to explore the growing body of work on autonomous agents powered by large language models.
What you can build with LLMAgentPapers
Conducting literature reviews
Quickly locate foundational and recent papers on LLM agents to support academic writing or project planning.
Exploring multi-agent systems
Find papers on collaborative or adversarial agent interactions for designing group-based AI solutions.
Tracking application areas
Review categorized entries on agent frameworks and domain-specific uses to identify implementation ideas.
Install LLMAgentPapers
git clone https://github.com/zjunlp/LLMAgentPapers.git- 1Open the GitHub repository page in a browser.
- 2Click the green Code button and copy the repository URL.
- 3Run git clone followed by the URL in your terminal.
- 4Open the README.md file locally or online to browse sections.
- 5Click any paper link to access the arXiv abstract or PDF.
LLMAgentPapers: pros & cons
Pros
- +Well-structured categories make navigation straightforward.
- +Includes direct links to papers and occasional updates with new entries.
- +Covers both single-agent and multi-agent research topics.
- +Free and open for anyone to reference or fork.
Cons
- –Contains only paper references rather than runnable code.
- –Relies on manual updates so coverage may lag behind new publications.
- –Best suited for users with some background in reading research papers.
Frequently asked questions
No, it is a curated list of research papers rather than a functional agent.
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