# WooooDyy/LLM-Agent-Paper-List

The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

Repository: https://github.com/WooooDyy/LLM-Agent-Paper-List
Canonical: https://ross.abutalabs.com/products/llm-agent-paper-list
Homepage: https://arxiv.org/abs/2309.07864
License Family: other
Topics: agent, large-language-models, llm, nlp, survey
Last push: 2025-09-12T03:08:58+00:00

## Health v2 (maintenance only)
Score: 46/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 41, release rhythm 35, longevity 77
- inputs: {"age_days": 1086, "days_push": 355, "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 8182, forks 496 (observed 2026-08-28T04:10:19.492647+00:00)

## What it is
A curated paper list accompanying the 86-page survey 'The Rise and Potential of Large Language Model Based Agents' by Zhiheng Xi et al. It collects must-read papers on LLM-based agents and is actively maintained with updates on related projects like AgentGym.

## Use cases
- find must-read papers on LLM-based agents
- survey the state of the art in LLM agent research
- get a reading list for AI agent research
- learn about LLM agents from a comprehensive survey
- find references for writing a paper on LLM agents
- track recent research on LLM-based agents

## When to choose
- you need a curated, survey-backed bibliography on LLM agents
- you are a researcher or student entering the LLM agent field
- you want a single reference list maintained by active researchers

## When to avoid
- you need runnable code or a framework rather than a paper list
- you want a tool for building or deploying agents
- you need licensed, citable content with a clear license

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials
- platform: cross-platform
- tags: paper-list, survey, llm-agents, reading-list, research, ai-agents, natural-language-processing

## Member repositories
- WooooDyy/LLM-Agent-Paper-List (main) score 46

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:19.492647+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 2026-08-29T17:29:34.414173+00:00, confidence not recorded.
  - readme: https://github.com/WooooDyy/LLM-Agent-Paper-List (fetched 2026-08-28T04:10:19.492647+00:00, sha 362d6d42a64c)
  - homepage: https://arxiv.org/abs/2309.07864 (fetched 2026-08-29T08:28:40.205507+00:00, sha c2a2c6ebb297)
  - site_page: https://info.arxiv.org/about/donate.html (fetched 2026-08-29T08:28:40.215354+00:00, sha cca9c3a11c56)
  - site_page: https://info.arxiv.org/about/ourmembers.html (fetched 2026-08-29T08:28:40.219157+00:00, sha 47cbc55ff1de)
  - site_page: https://info.arxiv.org/about (fetched 2026-08-29T08:28:40.221011+00:00, sha a1f16f915a9a)
  - site_page: https://info.arxiv.org/labs/index.html (fetched 2026-08-29T08:28:40.217466+00:00, sha b14a8d05a0ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.