# luo-junyu/Awesome-Agent-Papers

[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Repository: https://github.com/luo-junyu/Awesome-Agent-Papers
Canonical: https://ross.abutalabs.com/products/awesome-agent-papers
Homepage: https://arxiv.org/abs/2503.21460
License Family: other
Topics: agent, awesome-list, llm, llmagents
Last push: 2025-11-07T09:27:28+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 51, release rhythm 35, longevity 37
- inputs: {"age_days": 530, "days_push": 299, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2836, forks 116 (observed 2026-08-28T04:07:24.548205+00:00)

## What it is
A curated awesome-list repository accompanying an arXiv survey on Large Language Model agents, organizing research papers across agent construction, collaboration, evolution, tools, security, benchmarks, and applications. It provides a structured taxonomy and up-to-date paper collection for researchers studying LLM-based agents.

## Use cases
- find research papers on LLM agents
- learn about multi-agent collaboration mechanisms
- survey the state of the art in LLM agent security
- find benchmarks for evaluating LLM agents
- understand agent architectures and design principles
- keep up with new LLM agent research

## When to choose
- you need a structured, categorized reading list on LLM agent research
- you are writing a literature review or survey on AI agents
- you want a taxonomy linking agent construction, collaboration, and evolution

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, awesome-lists
- platform: -
- tags: awesome-list, survey, research-papers, llm-agents, multi-agent-systems, taxonomy, ai-agents, web-server

## Member repositories
- luo-junyu/Awesome-Agent-Papers (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:24.548205+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:37:46.404176+00:00, confidence not recorded.
  - readme: https://github.com/luo-junyu/Awesome-Agent-Papers (fetched 2026-08-28T04:07:24.548205+00:00, sha 9f062619911a)
  - homepage: https://arxiv.org/abs/2503.21460 (fetched 2026-08-29T09:53:30.989483+00:00, sha 622e1ec9ebc4)
  - site_page: https://info.arxiv.org/about/donate.html (fetched 2026-08-29T09:53:30.998496+00:00, sha cca9c3a11c56)
  - site_page: https://info.arxiv.org/about/ourmembers.html (fetched 2026-08-29T09:53:31.004474+00:00, sha 47cbc55ff1de)
  - site_page: https://info.arxiv.org/about (fetched 2026-08-29T09:53:31.007573+00:00, sha a1f16f915a9a)
  - site_page: https://info.arxiv.org/labs/index.html (fetched 2026-08-29T09:53:31.001288+00:00, sha b14a8d05a0ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.