Awesome Agentic

Key papers

• React: Synergizing Reasoning And Acting In Language Models (2022)
  Shunyu Yao, Jeffrey Zhao, Dian Yu, et al.
  36.63
• Agenttuning: Enabling Generalized Agent Abilities For Llms (2023)
  Aohan Zeng, Mingdao Liu, Rui Lu, et al.
  32.67
• Executable Code Actions Elicit Better LLM Agents (2024)
  Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.
  31.13
• Agentverse: Facilitating Multi-agent Collaboration And Exploring Emergent Behaviors (2023)
  Weize Chen, Yusheng Su, Jingwei Zuo, et al.
  29.70
• Agentscope: A Flexible Yet Robust Multi-agent Platform (2024)
  Dawei Gao, Zitao Li, Xuchen Pan, et al.
  29.54
• Autogen: Enabling Next-gen LLM Applications Via Multi-agent Conversation (2023)
  Qingyun Wu, Gagan Bansal, Jieyu Zhang, et al.
  29.16
• Agentless: Demystifying Llm-based Software Engineering Agents (2024)
  Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, et al.
  27.93
• EASYTOOL: Enhancing Llm-based Agents With Concise Tool Instruction (2024)
  Siyu Yuan, Kaitao Song, Jiangjie Chen, et al.
  27.38
• Agentgym: Evolving Large Language Model-based Agents Across Diverse Environments (2024)
  Zhiheng Xi, Yiwen Ding, Wenxiang Chen, et al.
  27.20
• Agent-flan: Designing Data And Methods Of Effective Agent Tuning For Large Language Models (2024)
  Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.
  25.55
• Agentohana: Design Unified Data And Training Pipeline For Effective Agent Learning (2024)
  Jianguo Zhang, Tian Lan, Rithesh Murthy, et al.
  24.90
• Controlllm: Augment Language Models With Tools By Searching On Graphs (2023)
  Zhaoyang Liu, Zeqiang Lai, Zhangwei Gao, et al.
  24.66
• Reconcile: Round-table Conference Improves Reasoning Via Consensus Among Diverse Llms (2023)
  Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal
  24.61
• Large Language Model Based Multi-agents: A Survey Of Progress And Challenges (2024)
  Taicheng Guo, Xiuying Chen, Yaqi Wang, et al.
  24.39
• Simulating Classroom Education With Llm-empowered Agents (2024)
  Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, et al.
  24.11
• MMAU: A Holistic Benchmark Of Agent Capabilities Across Diverse Domains (2024)
  Guoli Yin, Haoping Bai, Shuang Ma, et al.
  23.95
• You Only Look At Screens: Multimodal Chain-of-action Agents (2023)
  Zhuosheng Zhang, Aston Zhang
  23.42
• Metatool Benchmark For Large Language Models: Deciding Whether To Use Tools And Which To Use (2023)
  Yue Huang, Jiawen Shi, Yuan Li, et al.
  22.68
• T-eval: Evaluating The Tool Utilization Capability Of Large Language Models Step By Step (2023)
  Zehui Chen, Weihua Du, Wenwei Zhang, et al.
  21.69
• Self-reflection In LLM Agents: Effects On Problem-solving Performance (2024)
  Matthew Renze, Erhan Guven
  21.59
• Smartplay: A Benchmark For Llms As Intelligent Agents (2023)
  Yue Wu, Xuan Tang, Tom M. Mitchell, et al.
  21.32
• Character-llm: A Trainable Agent For Role-playing (2023)
  Yunfan Shao, Linyang Li, Junqi Dai, et al.
  21.19
• Avalon's Game Of Thoughts: Battle Against Deception Through Recursive Contemplation (2023)
  Shenzhi Wang, Chang Liu, Zilong Zheng, et al.
  20.05
• Recursive Introspection: Teaching Language Model Agents How To Self-improve (2024)
  Yuxiao Qu, Tianjun Zhang, Naman Garg, et al.
  19.75
• Parrot: Efficient Serving Of Llm-based Applications With Semantic Variable (2024)
  Chaofan Lin, Zhenhua Han, Chengruidong Zhang, et al.
  19.72
• LASER: LLM Agent With State-space Exploration For Web Navigation (2023)
  Kaixin Ma, Hongming Zhang, Hongwei Wang, et al.
  19.71
• From Persona To Personalization: A Survey On Role-playing Language Agents (2024)
  Jiangjie Chen, Xintao Wang, Rui Xu, et al.
  19.12
• Agentsquare: Automatic LLM Agent Search In Modular Design Space (2024)
  Yu Shang, Yu Li, Keyu Zhao, et al.
  18.98
• Evil Geniuses: Delving Into The Safety Of Llm-based Agents (2023)
  Yu Tian, Xiao Yang, Jingyuan Zhang, et al.
  18.92
• Repairagent: An Autonomous, Llm-based Agent For Program Repair (2024)
  Islem Bouzenia, Premkumar Devanbu, Michael Pradel
  18.60
• Goex: Perspectives And Designs Towards A Runtime For Autonomous LLM Applications (2024)
  Shishir G. Patil, Tianjun Zhang, Vivian Fang, et al.
  18.57
• Exploring Large Language Model Based Intelligent Agents: Definitions, Methods, And Prospects (2024)
  Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, et al.
  18.49
• Llm-powered Hierarchical Language Agent For Real-time Human-ai Coordination (2023)
  Jijia Liu, Chao Yu, Jiaxuan Gao, et al.
  18.44
• Badagent: Inserting And Activating Backdoor Attacks In LLM Agents (2024)
  Yifei Wang, Dizhan Xue, Shengjie Zhang, et al.
  18.26
• Taskbench: Benchmarking Large Language Models For Task Automation (2023)
  Yongliang Shen, Kaitao Song, Xu Tan, et al.
  18.24
• Ghostwriter: Augmenting Collaborative Human-ai Writing Experiences Through Personalization And Agency (2024)
  Catherine Yeh, Gonzalo Ramos, Rachel Ng, et al.
  18.07
• Llm-coordination: Evaluating And Analyzing Multi-agent Coordination Abilities In Large Language Models (2023)
  Saaket Agashe, Yue Fan, Anthony Reyna, et al.
  17.85
• Autoflow: Automated Workflow Generation For Large Language Model Agents (2024)
  Zelong Li, Shuyuan Xu, Kai Mei, et al.
  17.75
• Kg-agent: An Efficient Autonomous Agent Framework For Complex Reasoning Over Knowledge Graph (2024)
  Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, et al.
  17.58
• Agentic Reward Modeling: Integrating Human Preferences With Verifiable Correctness Signals For Reliable Reward Systems (2025)
  Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.
  17.49
• Agentboard: An Analytical Evaluation Board Of Multi-turn LLM Agents (2024)
  Chang Ma, Junlei Zhang, Zhihao Zhu, et al.
  17.06
• Benchmark Self-evolving: A Multi-agent Framework For Dynamic LLM Evaluation (2024)
  Siyuan Wang, Zhuohan Long, Zhihao Fan, et al.
  16.99
• Mmedagent: Learning To Use Medical Tools With Multi-modal Agent (2024)
  Binxu Li, Tiankai Yan, Yuanting Pan, et al.
  16.95
• Recai: Leveraging Large Language Models For Next-generation Recommender Systems (2024)
  Jianxun Lian, Yuxuan Lei, Xu Huang, et al.
  16.93
• Reason For Future, Act For Now: A Principled Framework For Autonomous LLM Agents With Provable Sample Efficiency (2023)
  Zhihan Liu, Hao Hu, Shenao Zhang, et al.
  16.93
• When Is Tree Search Useful For LLM Planning? It Depends On The Discriminator (2024)
  Ziru Chen, Michael White, Raymond Mooney, et al.
  16.92
• Systematic Biases In LLM Simulations Of Debates (2024)
  Amir Taubenfeld, Yaniv Dover, Roi Reichart, et al.
  16.92
• Luminate: Structured Generation And Exploration Of Design Space With Large Language Models For Human-ai Co-creation (2023)
  Sangho Suh, Meng Chen, Bryan Min, et al.
  16.90
• Understanding The Weakness Of Large Language Model Agents Within A Complex Android Environment (2024)
  Mingzhe Xing, Rongkai Zhang, Hui Xue, et al.
  16.89
• Formal-llm: Integrating Formal Language And Natural Language For Controllable Llm-based Agents (2024)
  Zelong Li, Wenyue Hua, Hao Wang, et al.
  16.74
• Stabletoolbench: Towards Stable Large-scale Benchmarking On Tool Learning Of Large Language Models (2024)
  Zhicheng Guo, Sijie Cheng, Hao Wang, et al.
  16.68
• Archer: Training Language Model Agents Via Hierarchical Multi-turn RL (2024)
  Yifei Zhou, Andrea Zanette, Jiayi Pan, et al.
  16.61
• Large Language Model Enhanced Multi-agent Systems For 6G Communications (2023)
  Feibo Jiang, Li Dong, Yubo Peng, et al.
  16.59
• Agentsims: An Open-source Sandbox For Large Language Model Evaluation (2023)
  Jiaju Lin, Haoran Zhao, Aochi Zhang, et al.
  16.59
• Hiagent: Hierarchical Working Memory Management For Solving Long-horizon Agent Tasks With Large Language Model (2024)
  Mengkang Hu, Tianxing Chen, Qiguang Chen, et al.
  16.39
• Language Agents With Reinforcement Learning For Strategic Play In The Werewolf Game (2023)
  Zelai Xu, Chao Yu, Fei Fang, et al.
  16.23
• Gaia2: Benchmarking LLM Agents On Dynamic And Asynchronous Environments (2026)
  Romain Froger, Pierre Andrews, Matteo Bettini, et al.
  16.17
• K-level Reasoning: Establishing Higher Order Beliefs In Large Language Models For Strategic Reasoning (2024)
  Yadong Zhang, Shaoguang Mao, Tao Ge, et al.
  16.09
• Graphreader: Building Graph-based Agent To Enhance Long-context Abilities Of Large Language Models (2024)
  Shilong Li, Yancheng He, Hangyu Guo, et al.
  16.07
• Learn-by-interact: A Data-centric Framework For Self-adaptive Agents In Realistic Environments (2025)
  Hongjin Su, Ruoxi Sun, Jinsung Yoon, et al.
  16.07