Awesome Browser Agents

Key papers

• EASYTOOL: Enhancing Llm-based Agents With Concise Tool Instruction (2024)
  Siyu Yuan, Kaitao Song, Jiangjie Chen, et al.
  16.88
• FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents (2026)
  Jia Deng et al.
  14.20
• Deep Research Agents: A Systematic Examination And Roadmap (2025)
  Yuxuan Huang et al.
  14.02
• OpenComputer: Verifiable Software Worlds for Computer-Use Agents (2026)
  Jinbiao Wei et al.
  12.94
• MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research (2026)
  Dingbang Wu et al.
  12.91
• K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts (2026)
  Nahyun Lee et al.
  12.62
• Understanding The Weakness Of Large Language Model Agents Within A Complex Android Environment (2024)
  Mingzhe Xing, Rongkai Zhang, Hui Xue, et al.
  12.57
• DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation (2026)
  Yibo Wang et al.
  12.15
• GrepSeek: Training Search Agents for Direct Corpus Interaction (2026)
  Alireza Salemi et al.
  12.06
• Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents (2026)
  Suji Kim et al.
  12.03
• QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks (2026)
  Jian Xie et al.
  11.71
• Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism (2026)
  Haoxiang Zhang et al.
  11.44
• Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses (2026)
  Pengcheng Jiang et al.
  11.09
• CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents (2026)
  Bowen Wang et al.
  10.88
• AI Research Agents Narrow Scientific Exploration (2026)
  Yixuan Tang et al.
  10.88
• MARS: Modular Agent with Reflective Search for Automated AI Research (2026)
  Jiefeng Chen et al.
  10.85
• Swe-agent: Agent-computer Interfaces Enable Automated Software Engineering (2024)
  John Yang, Carlos E. Jimenez, Alexander Wettig, et al.
  10.85
• Benchmark Test-Time Scaling of General LLM Agents (2026)
  Xiaochuan Li et al.
  10.31
• LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know? (2026)
  HuiMing Fan et al.
  10.00
• Mobile-agent-v3.5: Multi-platform Fundamental GUI Agents (2026)
  Haiyang Xu, Xi Zhang, Haowei Liu, et al.
  9.87
• SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents (2026)
  Wenxuan Wang et al.
  9.73
• Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills (2026)
  Chuan Xiao et al.
  9.73
• CODA-BENCH: Can Code Agents Handle Data-Intensive Tasks? (2026)
  Yuxin Zhang et al.
  9.73
• VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions (2026)
  Yuxin Chen et al.
  9.67
• Data Interpreter: An LLM Agent For Data Science (2024)
  Sirui Hong, Yizhang Lin, Bang Liu, et al.
  9.66
• RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents (2025)
  Zijing Zhang et al.
  9.64
• Agent-pro: Learning To Evolve Via Policy-level Reflection And Optimization (2024)
  Wenqi Zhang, Ke Tang, Hai Wu, et al.
  9.59
• OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents (2026)
  Rui Yang et al.
  9.54
• TIDE: Trajectory-based Diagnostic Evaluation of Test-Time Improvement in LLM Agents (2026)
  Hang Yan et al.
  9.48
• Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents (2026)
  Haoyi Hu et al.
  9.41
• Edge Large AI Model Agent-Empowered Cognitive Multimodal Semantic Communication (2026)
  Y. Sun et al.
  9.16
• PhoneHarness: Harnessing Phone-Use Agents through Mixed GUI, CLI, and Tool Actions (2026)
  Chenxin Li et al.
  9.11
• LLM Agents Making Agent Tools (2025)
  Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.
  9.07
• Tptu-v2: Boosting Task Planning And Tool Usage Of Large Language Model-based Agents In Real-world Systems (2023)
  Yilun Kong, Jingqing Ruan, Yihong Chen, et al.
  9.03
• EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge (2026)
  Yunhan Wang et al.
  8.95
• Towards Responsible Generative AI: A Reference Architecture For Designing Foundation Model Based Agents (2023)
  Qinghua Lu, Liming Zhu, Xiwei Xu, et al.
  8.60
• How Much Can We Trust LLM Search Agents? Measuring Endorsement Vulnerability to Web Content Manipulation (2026)
  Yimeng Chen et al.
  8.48
• A Survey On The Optimization Of Large Language Model-based Agents (2025)
  Shangheng Du, Jiabao Zhao, Jinxin Shi, et al.
  8.37
• Mobile-bench: An Evaluation Benchmark For Llm-based Mobile Agents (2024)
  Shihan Deng, Weikai Xu, Hongda Sun, et al.
  8.35
• Agent Lumos: Unified And Modular Training For Open-source Language Agents (2023)
  da Yin, Faeze Brahman, Abhilasha Ravichander, et al.
  8.35
• Ui-venus-1.5 Technical Report (2026)
  Venus Team, Changlong Gao, Zhangxuan Gu, et al.
  7.99
• WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents (2025)
  Zile Qiao et al.
  7.91
• Large Action Models: From Inception To Implementation (2024)
  Lu Wang, Fangkai Yang, Chaoyun Zhang, et al.
  7.86
• SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents (2026)
  Bingchen Zhao et al.
  7.79
• AgentSearchBench: A Benchmark for AI Agent Search in the Wild (2026)
  Bin Wu et al.
  7.71
• AIOS: LLM Agent Operating System (2024)
  Kai Mei, Xi Zhu, Wujiang Xu, et al.
  7.50
• See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents (2026)
  Siyi Chen et al.
  7.37
• OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents (2026)
  Chenyu Zhou et al.
  7.31
• Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion (2026)
  Stine Lyngs{\o} Beltoft et al.
  7.31
• AI agent in healthcare: applications, evaluations, and future directions (2026)
  Lina Zhao et al.
  7.24
• AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents (2025)
  Renxi Wang et al.
  7.23
• HiPlan: Hierarchical Planning for LLM-Based Agents with Adaptive Global-Local Guidance (2025)
  Ziyue Li et al.
  7.17
• Agentbench: Evaluating Llms As Agents (2023)
  Xiao Liu, Hao Yu, Hanchen Zhang, et al.
  7.06
• Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents (2026)
  Dae Yon Hwang et al.
  6.95
• Beyond Ten Turns: Unlocking Long-horizon Agentic Search With Large-scale Asynchronous RL (2025)
  Jiaxuan Gao, Wei Fu, Minyang Xie, et al.
  6.84
• A History-Aware Visually Grounded Critic for Computer Use Agents (2026)
  Jaewoo Lee et al.
  6.75
• Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions (2024)
  Huachuan Qiu et al.
  6.61
• Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems (2025)
  Weibo Gao et al.
  6.58
• Self-Challenging Language Model Agents (2025)
  Yifei Zhou et al.
  6.57
• Exp-bench: Can AI Conduct AI Research Experiments? (2025)
  Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, et al.
  6.54