Key papers

• Autogen Studio: A No-code Developer Tool For Building And Debugging Multi-agent Systems (2024)
  Victor Dibia, Jingya Chen, Gagan Bansal, et al.
  19.59
• Kimi K2.5: Visual Agentic Intelligence (2026)
  Kimi Team: Tongtong Bai et al.
  17.30
• AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration (2026)
  Jiaqi Liu et al.
  13.41
• Llmind: Orchestrating AI And Iot With LLM For Complex Task Execution (2023)
  Hongwei Cui, Yuyang Du, Qun Yang, et al.
  13.39
• SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD (2026)
  Dongfang Li et al.
  13.27
• Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application (2026)
  Jiachun Li et al.
  13.11
• ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog (2026)
  Lingao Xiao et al.
  12.91
• AWorld: Orchestrating the Training Recipe for Agentic AI (2025)
  Chengyue Yu et al.
  12.66
• Orchestra-o1: Omnimodal Agent Orchestration (2026)
  Fan Zhang et al.
  12.09
• Beyond Static Leaderboards: Predictive Validity for the Evaluation of LLM Agents (2026)
  Dhaval C. Patel et al.
  12.09
• Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution (2025)
  Tianrui Qin et al.
  11.74
• SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research (2026)
  Pu Ning et al.
  11.67
• Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills (2026)
  Siyuan Huang et al.
  11.27
• Agent-as-a-Router: Agentic Model Routing for Coding Tasks (2026)
  Pengfei Zhou et al.
  11.10
• Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning (2025)
  Guanting Dong et al.
  11.07
• Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems (2026)
  Gaurav Dadhich
  11.07
• CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents (2026)
  Bowen Wang et al.
  10.76
• ASPIRE: Agentic /Skills Discovery for Robotics (2026)
  Runyu Lu et al.
  10.66
• ToFu: A White-Box, Token-Efficient Agent Harness for Researchers (2026)
  Junhao Ruan et al.
  10.42
• Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems (2026)
  Jiacheng Liu et al.
  10.29
• DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines (2026)
  Runming He et al.
  10.15
• Confidence-Aware Tool Orchestration for Robust Video Understanding (2026)
  Yangfan He et al.
  10.05
• $\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems (2026)
  Peilin Feng et al.
  9.84
• Data Interpreter: An LLM Agent For Data Science (2024)
  Sirui Hong, Yizhang Lin, Bang Liu, et al.
  9.66
• HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness (2026)
  Xiaoxuan Wang et al.
  9.62
• Token-Level LLM Collaboration via FusionRoute (2026)
  Nuoya Xiong et al.
  9.59
• When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent Systems (2026)
  Corrado Rainone et al.
  9.56
• Edge Large AI Model Agent-Empowered Cognitive Multimodal Semantic Communication (2026)
  Y. Sun et al.
  9.39
• Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters (2025)
  Guanzi Yao et al.
  9.32
• SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning (2025)
  Edward Y. Chang et al.
  9.24
• CEO-Bench: Can Agents Play the Long Game? (2026)
  Haozhe Chen et al.
  9.00
• OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agent (2026)
  Bowen Yang et al.
  8.85
• LLM Collaboration With Multi-Agent Reinforcement Learning (2025)
  Shuo Liu et al.
  8.84
• Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation (2026)
  Chenghao Zhang et al.
  8.49
• CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration (2026)
  Hairui Zhu et al.
  8.40
• Hogwild! Inference: Parallel LLM Generation via Concurrent Attention (2025)
  Gleb Rodionov et al.
  8.28
• Orchard: An Open-Source Agentic Modeling Framework (2026)
  Baolin Peng and Wenlin Yao and Qianhui Wu and Hao Cheng and Xiao Yu and Rui Yang and Tao Ge and Alessandro Sordoni and Xingdi Yuan and Yelong Shen and Pengcheng He and Tong Zhang and Zhou Yu and Jianfeng Gao
  8.27
• FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications (2026)
  Krish Agarwal et al.
  8.18
• PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution (2026)
  Minghao Yan et al.
  8.16
• AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction (2025)
  Song Wang et al.
  8.12
• AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios (2026)
  Kou Shi et al.
  8.07
• A Survey on Agent Workflow -- Status and Future (2025)
  Chaojia Yu et al.
  7.99
• Cleanrl: High-quality Single-file Implementations Of Deep Reinforcement Learning Algorithms (2021)
  Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, et al.
  7.97
• OpenForgeRL: Train Harness-native Agents in Any Environment (2026)
  Xiao Yu et al.
  7.92
• WideSeek: Advancing Wide Research via Multi-Agent Scaling (2026)
  Ziyang Huang et al.
  7.88
• Large Action Models: From Inception To Implementation (2024)
  Lu Wang, Fangkai Yang, Chaoyun Zhang, et al.
  7.86
• JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models (2026)
  Haoran Sun et al.
  7.79
• Skill-MAS: Evolving Meta-Skill for Automatic Multi-Agent Systems (2026)
  Hehai Lin et al.
  7.73
• MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training (2026)
  Wenhan Ma et al.
  7.73
• Agentic AI-driven autonomous decision support system for smart agriculture (2026)
  Padma Swati et al.
  7.73
• AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems (2026)
  Nicole Koenigstein
  7.68
• Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI (2025)
  Lorenzo Giusti et al.
  7.62
• AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation (2026)
  Shanghua Gao et al.
  7.52
• Intelligent AI Delegation (2026)
  Nenad Toma\v{s}ev et al.
  7.50
• AIOS: LLM Agent Operating System (2024)
  Kai Mei, Xi Zhu, Wujiang Xu, et al.
  7.50
• SwarmSys: Decentralized Swarm-Inspired Agents for Scalable and Adaptive Reasoning (2025)
  Ruohao Li et al.
  7.26
• AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems (2026)
  Changxin Lao et al.
  7.25
• Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence (2025)
  Ji Wang et al.
  7.13
• Evaluating routing stability and coordination in swarm-based multi-agent task-oriented dialogue systems (2026)
  Abuzar Khan et al.
  7.13
• Agent libOS: A Library-OS-Inspired Runtime for Long-Running, Capability-Controlled LLM Agents (2026)
  Yingqi Zhang
  6.64