awesome-llm-powered-agent
VerifiedCurated collection of LLM agent papers and projects.
What is awesome-llm-powered-agent?
The project serves as a centralized index of academic papers and repositories exploring how LLMs enable planning, reasoning, and tool use in autonomous agents. Sections break down topics such as general reasoning frameworks, trustworthy AI considerations, and specialized applications in web navigation, robotics, and gaming.
It functions primarily as a reference list rather than executable software, with links to arXiv papers, code repositories, and occasional project pages. Users navigate through categorized entries that include both foundational surveys and specific benchmarks for evaluating agent performance.
Researchers and developers studying LLM capabilities benefit most, especially those seeking historical context on agent architectures or inspiration for new multi-agent systems and simulation environments.
What you can build with awesome-llm-powered-agent
Literature Review
Quickly locate key papers on LLM reasoning, planning, and tool integration from 2023 and earlier.
Framework Discovery
Find open-source projects implementing autonomous task solvers and multi-agent simulations.
Benchmark Exploration
Access evaluation datasets and surveys that measure agent capabilities across different domains.
Install awesome-llm-powered-agent
- 1Visit the GitHub repository page for awesome-llm-powered-agent.
- 2Review the README sections listing papers by category.
- 3Click through to individual paper links or code repositories.
- 4Clone the repo locally if you want to contribute updates via pull request.
- 5Check the open-source projects section for direct project links to explore further.
awesome-llm-powered-agent: pros & cons
Pros
- +Broad categorization of papers across reasoning, applications, and benchmarks
- +Includes both academic publications and linked code implementations
- +Highlights notable works with citation or popularity markers
- +Open for community contributions through standard GitHub processes
Cons
- –No longer under active maintenance with most entries predating October 2023
- –Limited to reference material rather than runnable agent code
- –Requires external navigation to access actual papers and repositories
Frequently asked questions
The maintainers note it is not under active maintenance and mainly covers papers up to October 2023.
User reviews
Verified reviews from the community shape this listing's rating.
Loading reviews…
Similar agents
Other general-purpose options worth comparing.
