by taichengguo · Agent Tool · ★ 1.3k
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🤖 Awesome LLM-based Multi-Agents Papers 🔥 Paper 🔥 🔥Our Survey Paper Our survey about LLM based Multi-Agents is available at: https://arxiv.org/abs/2402.01680 Our summarized LLM-based Multi-Agents architecture is: The Overview table is as follows. More details can be seen in our paper. Very appreciate any suggestions. 🆕 News [2024/02] We will update our paper list every two weeks and include all the following papers in the next version of our paper. Please Feel free to contact me in case we have missed any papers! [2024/01] This repo is created to maintain LLM-based Multi-Agents papers. We categorized these papers into five main streams: Multi-Agents Framework Multi-Agents Orchestration and Efficiency Multi-Agents for Problem Solving Multi-Agents for World Simulation Multi-Agents Datasets and Benchmarks 📌 Table of Co
| Stars | 1,275 |
| Forks | 65 |
| Category | Agent Tool |
| Quality Score | 32.166/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-20 |
| Created | 2024-01-05 |
| Est. Tokens | ~20k |
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LLM_MultiAgents_Survey_Papers is Large Language Model based Multi-Agents: A Survey of Progress and Challenges (In IJCAI 2024). It is categorized as a Agent Tool with 1.3k GitHub stars.
You can find installation instructions and usage details in the LLM_MultiAgents_Survey_Papers GitHub repository at github.com/taichengguo/LLM_MultiAgents_Survey_Papers. The project has 1.3k stars and 65 forks, indicating an active community.
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