# zjunlp/LLMAgentPapers

Must-read Papers on LLM Agents.

Repository: https://github.com/zjunlp/LLMAgentPapers
Canonical: https://ross.abutalabs.com/products/llmagentpapers
License Family: other
Topics: agents, awsome-list, environment, interactive, large-language-models, llm, multiagent-systems, natural-language-processing, nlp, paper-list, prompt, agent, review, survey, in-context-learning, instruction-following, surveys
Last push: 2026-07-27T00:29:18+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 35, longevity 85
- inputs: {"age_days": 1202, "days_push": 38, "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 3108, forks 184 (observed 2026-08-28T04:07:43.838173+00:00)

## What it is
A curated awesome-list of must-read research papers on Large Language Model (LLM) agents, maintained by the zjunlp research group. It organizes papers into categories such as agent personality, memory, planning, tool use, RL training, multi-agent systems, applications, and frameworks, plus benchmarks and tool resources.

## Use cases
- find must-read papers on LLM agents
- survey research on multi-agent systems with large language models
- learn about agent planning, memory, and tool use literature
- find benchmarks for evaluating LLM agents
- catch up on recent LLM agent surveys and reviews
- find papers on instruction following and in-context learning for agents

## When to choose
- you are starting research on LLM-based agents and need a structured reading list
- you want a categorized, community-curated collection of agent papers and benchmarks
- you need references for a survey or literature review on LLM agents

## When to avoid
- you need runnable agent software or frameworks rather than papers
- you want exhaustive, automatically updated coverage rather than a curated selection
- you need non-agent LLM topics like fine-tuning or inference optimization

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: artificial-intelligence, large-language-models, awesome-lists
- platform: cross-platform
- tags: awesome-list, paper-list, llm-agents, survey, multi-agent-systems, research-papers, ai-agents, natural-language-processing

## Member repositories
- zjunlp/LLMAgentPapers (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:43.838173+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 2026-08-30T07:26:52.440919+00:00, confidence not recorded.
  - readme: https://github.com/zjunlp/LLMAgentPapers (fetched 2026-08-28T04:07:43.838173+00:00, sha 961264d9bcd7)
- Data as of 2026-08-30T08:39:29.467469+00:00.