taichengguo/LLM_MultiAgents_Survey_Papers resource
Large Language Model based Multi-Agents: A Survey of Progress and Challenges (In IJCAI 2024) observed · 2026-08-28
Health v2 · maintenance only
70/100
- Activity 98
- Release rhythm 35
- Longevity 69
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 971
- days_rel: n/a
- days_push: 12
- n_releases_24m: 0
Adoption not part of the score
1307 stars · 67 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated, regularly updated paper list accompanying the IJCAI 2024 survey 'Large Language Model based Multi-Agents: A Survey of Progress and Challenges'. It organizes LLM-based multi-agent research into frameworks, orchestration, problem solving, world simulation, and datasets/benchmarks.
Use cases
- find papers on LLM multi-agent systems
- survey of multi-agent frameworks for LLMs
- research reading list for AI agents
- benchmarks for multi-agent LLM systems
- learn how LLM agents communicate and cooperate
- world simulation with LLM agents papers
When to choose
- you need an academic overview of LLM-based multi-agent research
- you want a categorized, periodically updated reading list
- you are starting research on multi-agent LLM systems
When to avoid
- you need production-ready agent software rather than papers
- you want a maintained framework or library instead of a paper index
Facets
learning-resource · maturity active
agent-framework documentation artificial-intelligence large-language-models tutorials awesome-lists awesome-list survey-paper multi-agent-systems research-papers ijcai-2024 llm-agents ai-agents web-server
6 sources
- readme: https://github.com/taichengguo/LLM_MultiAgents_Survey_Papers · fetched 2026-08-28 · 9246ae09839d
- homepage: https://arxiv.org/abs/2402.01680 · fetched 2026-08-29 · 7aabc01fdf8e
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| taichengguo/LLM_MultiAgents_Survey_Papers | main | 70 |
For agents
markdown · JSON · MCP: product_card(name="taichengguo/LLM_MultiAgents_Survey_Papers")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem