OpenHands: An Open Platform for AI Software Developers as Generalist Agents
On the map: LLM agents and tool use → Software engineering coding agents
Abstract (arXiv)
Software is one of the most powerful tools that we humans have at our disposal; it allows a skilled programmer to interact with the world in complex and profound ways. At the same time, thanks to improvements in large language models (LLMs), there has also been a rapid development in AI agents that interact with and affect change in their surrounding environments. In this paper, we introduce OpenHands (f.k.a. OpenDevin), a platform for the development of powerful and flexible AI agents that interact with the world in similar ways to those of a human developer: by writing code, interacting with a command line, and browsing the web. We describe how the platform allows for the implementation of new agents, safe interaction with sandboxed environments for code execution, coordination between multiple agents, and incorporation of evaluation benchmarks. Based on our currently incorporated benchmarks, we perform an evaluation of agents over 15 challenging tasks, including software engineering (e.g., SWE-BENCH) and web browsing (e.g., WEBARENA), among others. Released under the permissive MIT license, OpenHands is a community project spanning academia and industry with more than 2.1K contributions from over 188 contributors.
Key facts. Cited by 956 papers in the map (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 44 of its 79 references that are in the map. First posted on arXiv 23 Jul 2024.
Builds on
44 of 79 references.
Closest ancestors · 5
Same direction, newest first
- 2024Agentless: Demystifying LLM-based Software Engineering Agents1 Jul
- 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering6 May
- 2024Executable Code Actions Elicit Better LLM Agents1 Feb
- 2023ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code16 Nov
- 2023ProAgent: From Robotic Process Automation to Agentic Process Automation2 Nov
Other references · 39
- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
- 2021Evaluating Large Language Models Trained on Codecited by 8,053
- 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,064
- 2023Qwen Technical Reportcited by 3,273
- 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
- 2023GPQA: A Graduate-Level Google-Proof Q&A Benchmarkcited by 2,748
- 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,302
- 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
- 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
- 2024Mixtral of Expertscited by 1,785
- 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
27 more
- 2023Gorilla: Large Language Model Connected with Massive APIscited by 1,302
- 2023A Survey on Evaluation of Large Language Modelscited by 1,227
- 2023AgentBench: Evaluating LLMs as Agentscited by 1,211
- 2023GAIA: a benchmark for General AI Assistantscited by 1,084
- 2023DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelinescited by 803
- 2023Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLscited by 667
- 2023Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoningcited by 379
- 2023Language Models can Solve Computer Taskscited by 371
- 2024WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?cited by 348
- 2023MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoningcited by 311
- 2020ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Languagecited by 309
- 2023MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedbackcited by 293
- 2018Reinforcement Learning on Web Interfaces Using Workflow-Guided Explorationcited by 282
- 2023ToolQA: A Dataset for LLM Question Answering with External Toolscited by 273
- 2024Advancing LLM Reasoning Generalists with Preference Treescited by 191
- 2023OpenAgents: An Open Platform for Language Agents in the Wildcited by 136
- 2024Autonomous Evaluation and Refinement of Digital Agentscited by 136
- 2023CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsetscited by 122
- 2023Mindstorms in Natural Language-Based Societies of Mindcited by 105
- 2022A data-driven approach for learning to control computerscited by 87
- 2023Lemur: Harmonizing Natural Language and Code for Language Agentscited by 71
- 2023From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfacescited by 67
- 2024Large Language Models Can Self-Improve At Web Agent Taskscited by 54
- 2024Risks of AI Scientists: Prioritizing Safeguarding Over Autonomycited by 49
- 2023A Zero-Shot Language Agent for Computer Control with Structured Reflectioncited by 28
- 2023BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Modelscited by 24
- 2023Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Gamescited by 24
Built on by
Citing papers per year: 2024: 43; 2025: 262; 2026: 651.
956 papers.
Sort:
By area:
- 2025A-MEM: Agentic Memory for LLM Agentscited by 1,000
- 2025Why Do Multi-Agent LLM Systems Fail?cited by 559
- 2025GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Modelscited by 446
- 2024AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agentscited by 406
- 2025Agent Laboratory: Using LLM Agents as Research Assistantscited by 405
- 2024TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Taskscited by 306
- 2024Training Software Engineering Agents and Verifiers with SWE-Gymcited by 300
- 2024OLMoE: Open Mixture-of-Experts Language Modelscited by 291
- 2025SWE-smith: Scaling Data for Software Engineering Agentscited by 255
- 2025SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?cited by 254
- 2025Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactionscited by 236
- 2024Agent-as-a-Judge: Evaluate Agents with Agentscited by 223
38 more
- 2024ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discoverycited by 208
- 2025AIDE: AI-Driven Exploration in the Space of Codecited by 206
- 2024SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?cited by 196
- 2024RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human expertscited by 153
- 2024The BrowserGym Ecosystem for Web Agent Researchcited by 152
- 2025The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Taskscited by 150
- 2025R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agentscited by 140
- 2025Scaling Long-Horizon LLM Agent via Context-Foldingcited by 136
- 2024ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agentscited by 126
- 2025Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systemscited by 125
- 2024SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinementcited by 124
- 2026Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnessescited by 119
- 2025Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolutioncited by 114
- 2025MLGym: A New Framework and Benchmark for Advancing AI Research Agentscited by 111
- 2025AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?cited by 105
- 2025SafeArena: Evaluating the Safety of Autonomous Web Agentscited by 97
- 2024AutoGLM: Autonomous Foundation Agents for GUIscited by 96
- 2025What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secretcited by 95
- 2025Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environmentscited by 93
- 2025Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scalingcited by 93
- 2025VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Usecited by 92
- 2025Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?cited by 91
- 2024RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graphcited by 88
- 2025Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluationcited by 83
- 2025LocAgent: Graph-Guided LLM Agents for Code Localizationcited by 82
- 2025MemEvolve: Meta-Evolution of Agent Memory Systemscited by 81
- 2026Self-Harness: Harnesses That Improve Themselvescited by 79
- 2024Beyond Browsing: API-Based Web Agentscited by 77
- 2025Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directionscited by 74
- 2025CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scalecited by 71
- 2025OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safetycited by 71
- 2025SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Taskscited by 69
- 2024MarsCode Agent: AI-native Automated Bug Fixingcited by 68
- 2025Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoningcited by 68
- 2026Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineeringcited by 68
- 2025WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratchcited by 66
- 2025AgentRxiv: Towards Collaborative Autonomous Researchcited by 64
- 2025SWE-Exp: Experience-Driven Software Issue Resolutioncited by 64
50 most cited of 956 All 956 (JSON)
- 2026Reasoning-Informed Visual Editing8 Oct 2026
- 2026Cross-Provider Review as a Runtime Contract for Coding Agents: A Controlled Pilot and Fault-Injection Study7 Oct 2026
- 2026CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution7 Oct 2026
- 2026TestGRAD: Evolving Test Suites via Failure Pattern Momentum for SWE-Agent Ensemble7 Oct 2026
- 2026AutoCompact: Learning When to Compact Context in Long-Horizon Coding Agents1 Oct 2026
- 2026Mingbird: A Local-First Agent Harness Enabling Small Open Models to Complete Real Tasks1 Oct 2026
- 2026DAYJOB: A Benchmark for Long-Horizon Professional Work1 Oct 2026
- 2026AgSpec: Pushing the Limits of Retrieval-Based Speculative Decoding in Coding Agent Pipelines1 Oct 2026
- 2026PG-SFT: Balancing Capability Acquisition and Retention in Offline Agent Fine-Tuning1 Oct 2026
- 2026Finding the Right Fit: Model-Harness Interactions across Agent Tasks1 Oct 2026
- 2026Cross-Benchmark Transfer from RL on Agentic Coding Tasks1 Oct 2026
- 2026Self-Evolving Coding Rules for AI Coding Agents30 Sep 2026
38 more
- 2026Turbo Harness: Instance-Adaptive Harness Optimization30 Sep 2026
- 2026Learning from Research: Toward Lifelong Agent Harness Evolution30 Sep 2026
- 2026Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents30 Sep 2026
- 2026Learning When and How to Intervene: A Hindsight-Distilled Sentinel for Coding Agents30 Sep 2026
- 2026LatentHarness: Learning Latent Actions for Memory and Reasoning via Counterfactual Policy Distillation30 Sep 2026
- 2026RankEvolve: A Reliable Multi-Agent Auto-Research Harness for Evolving Ranking Models30 Sep 2026
- 2026QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code30 Sep 2026
- 2026NarrativeSteward: Coordinating Delegation, Guidance, and Verification in Agent-Assisted Interactive Narrative Authoring30 Sep 2026
- 2026Fyan: A Human--AI Harness with Semantic Auditing for Document-Level Formalization30 Sep 2026
- 2026Trustworthy Runtime Error Healing in Real-World Repositories: A Benchmark and Guardrail30 Sep 2026
- 2026OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime29 Sep 2026
- 2026CRJudgeBench: Can AI Detect Plausible but Invalid Code Reviews?29 Sep 2026
- 2026LoLBench: Evaluating Coding Agents with Long-Horizon Proposals on Large Software Systems29 Sep 2026
- 2026Traverse: Learning When to Remember, Reset, and Redirect for Long-Horizon Web Search29 Sep 2026
- 2026WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents29 Sep 2026
- 2026WitnessGym: Benchmarking Coding Agents on the Construction of Bug Witnesses29 Sep 2026
- 2026StateTape: Action-Conditioned Evidence Lifecycle Modeling for Long-Horizon Coding Agents28 Sep 2026
- 2026TokenCast: Forecasting Token Consumption During LLM Agent Execution28 Sep 2026
- 2026Self-Evolving Coding Agents: From Digital Programs to Physical-World Intelligence28 Sep 2026
- 2026Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge28 Sep 2026
- 2026WebPageBench: Event-Level Verification and Controlled UI-Variant Generation for Web Agents28 Sep 2026
- 2026Certified Selective Automation of LLM Agent Evaluation28 Sep 2026
- 2026Opera: A Verbal Critic Framework for Long-horizon Coding Agents27 Sep 2026
- 2026Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents27 Sep 2026
- 2026EfficientAgent: What Makes KV Cache Offloading Work for Concurrent Agents?27 Sep 2026
- 2026SWE-Game: Can Coding Agents Build the Games We Want?27 Sep 2026
- 2026Long-Horizon Analog Design Bench: Benchmarking Agents on Hours-Long Analog and Mixed-Signal Circuit Design Tasks27 Sep 2026
- 2026LiteEvo: Automated, Cost-Efficient Harness Evolution for Generalization to Unseen Tasks27 Sep 2026
- 2026Beyond Token Savings: A Systematic Study of Context Compression in LLM Agents26 Sep 2026
- 2026On the Behavioral Traits of LLM Agents26 Sep 2026
- 2026SWE-MILE: Asynchronous Potential-Induced Milestone Credit Assignment for Long-Horizon Software Engineering Agents26 Sep 2026
- 2026ExpVoyager: Direct Experience Navigation for Dynamic Agent Skill Synthesis26 Sep 2026
- 2026CUA-SWE: When Computer-Use Agents Meet Visual Software Engineering26 Sep 2026
- 2026CyberClear: A Benchmark for LLM Agent Systems on APT Attack Chain Provenance26 Sep 2026
- 2026HM-ROUTER: Joint Model and Harness Routing for Agentic Systems26 Sep 2026
- 2026Compress What You See, Not What You Say: Anchored Context Distillation for Latent-Observation Software Engineering Agents25 Sep 2026
- 2026Evaluating Budgeted Context Projection with Unexecuted Companion Runs25 Sep 2026
- 2026AgentXploit: Autonomous Repository-to-Runtime Red-Teaming for AI Agents25 Sep 2026
50 newest of 956 All 956 (JSON)
- 2025A-MEM: Agentic Memory for LLM Agentscited by 1,000
- 2025Why Do Multi-Agent LLM Systems Fail?cited by 559
- 2024AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agentscited by 406
- 2025Agent Laboratory: Using LLM Agents as Research Assistantscited by 405
- 2024TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Taskscited by 306
- 2024Training Software Engineering Agents and Verifiers with SWE-Gymcited by 300
- 2025SWE-smith: Scaling Data for Software Engineering Agentscited by 255
- 2025Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactionscited by 236
- 2024Agent-as-a-Judge: Evaluate Agents with Agentscited by 223
- 2024ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discoverycited by 208
- 2024RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human expertscited by 153
- 2024The BrowserGym Ecosystem for Web Agent Researchcited by 152
12 most cited of 626 All 626 (JSON)
- 2026Cross-Provider Review as a Runtime Contract for Coding Agents: A Controlled Pilot and Fault-Injection Study7 Oct 2026
- 2026AutoCompact: Learning When to Compact Context in Long-Horizon Coding Agents1 Oct 2026
- 2026AgSpec: Pushing the Limits of Retrieval-Based Speculative Decoding in Coding Agent Pipelines1 Oct 2026
- 2026PG-SFT: Balancing Capability Acquisition and Retention in Offline Agent Fine-Tuning1 Oct 2026
- 2026Finding the Right Fit: Model-Harness Interactions across Agent Tasks1 Oct 2026
- 2026Cross-Benchmark Transfer from RL on Agentic Coding Tasks1 Oct 2026
- 2026Self-Evolving Coding Rules for AI Coding Agents30 Sep 2026
- 2026Learning from Research: Toward Lifelong Agent Harness Evolution30 Sep 2026
- 2026Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents30 Sep 2026
- 2026Learning When and How to Intervene: A Hindsight-Distilled Sentinel for Coding Agents30 Sep 2026
- 2026RankEvolve: A Reliable Multi-Agent Auto-Research Harness for Evolving Ranking Models30 Sep 2026
- 2026QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code30 Sep 2026
12 newest of 626 All 626 (JSON)
- 2025GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Modelscited by 446
- 2025The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Taskscited by 150
- 2025R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agentscited by 140
- 2025Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolutioncited by 114
- 2025What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secretcited by 95
- 2025Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scalingcited by 93
- 2025VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Usecited by 92
- 2025Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoningcited by 68
- 2025SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolutioncited by 52
- 2025Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMscited by 47
- 2025The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reasoncited by 47
- 2026A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agentscited by 47
12 most cited of 74 All 74 (JSON)
- 2026LatentHarness: Learning Latent Actions for Memory and Reasoning via Counterfactual Policy Distillation30 Sep 2026
- 2026Prefix Sliding for efficient test-time scaling26 Aug 2026
- 2026TDD-Agent: Test-Driven Reasoning for Code Generation17 Aug 2026
- 2026FAVA: Formal Authorization for Verified Agents with Evidence-Backed Permission Graphs29 Jul 2026
- 2026PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents21 Jul 2026
- 2026Spectral Rewiring for Exploration, Purification, and Model Merging3 Jul 2026
- 2026Reasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational study2 Jul 2026
- 2026The Hitchhiker's Guide to Agentic AI: From Foundations to Systems22 Jun 2026
- 2026Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning12 Jun 2026
- 2026Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking5 Jun 2026
- 2026MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems27 May 2026
- 2026CoT-Guard: Small Models for Strong Monitoring12 May 2026
12 newest of 74 All 74 (JSON)
- 2025TokenCake: A KV-Cache-centric Serving Framework for LLM-based Multi-Agent Applicationscited by 16
- 2026A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compressioncited by 12
- 2025Efficient Pretraining Length Scalingcited by 5
- 2026Bole: Efficient Tree Speculation for Hybrid-Attention Language Modelscited by 3
- 2025Efficient On-Device Agents via Adaptive Context Managementcited by 1
- 2026SmoothAgent: Efficient Long-Horizon LLM-Based Agent Serving with Lookahead Context Engineeringcited by 0
- 2026Fathom: Per-Query Read Depth for Sparse Decoding over Offloaded KV Cachescited by 0
- 2026Fathom: Per-Query Read Depth for Sparse Decoding over Offloaded KV Caches15 Sep 2026
- 2026Bole: Efficient Tree Speculation for Hybrid-Attention Language Models3 Aug 2026
- 2026SmoothAgent: Efficient Long-Horizon LLM-Based Agent Serving with Lookahead Context Engineering30 Jun 2026
- 2026A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression21 Apr 2026
- 2025TokenCake: A KV-Cache-centric Serving Framework for LLM-based Multi-Agent Applications21 Oct 2025
- 2025Efficient On-Device Agents via Adaptive Context Management24 Sep 2025
- 2025Efficient Pretraining Length Scaling21 Apr 2025
- 2025Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approachescited by 20
- 2024SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmercited by 3
- 2026DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoningcited by 3
- 2026BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigmscited by 1
- 2026BLAgent: Agentic RAG for File-Level Bug Localizationcited by 0
- 2026BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms29 Jul 2026
- 2026BLAgent: Agentic RAG for File-Level Bug Localization18 May 2026
- 2026DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoning28 Jan 2026
- 2025Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches6 Oct 2025
- 2024SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmer17 Sep 2024
- 2025Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluationcited by 41
- 2026Sandboxed Coding Agents are Competitive Omni-modal Task Solverscited by 2
- 2026The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomycited by 1
- 2026Beyond Pixels: Introspective and Interactive Grounding for Visualization Agentscited by 0
- 2026The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy13 Jul 2026
- 2026Sandboxed Coding Agents are Competitive Omni-modal Task Solvers30 May 2026
- 2026Beyond Pixels: Introspective and Interactive Grounding for Visualization Agents22 Apr 2026
- 2025Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation7 Feb 2025
- 2026Endless Terminals: Scaling RL Environments for Terminal Agentscited by 43
- 2026Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharingcited by 32
- 2026MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discoverycited by 20
- 2026Knowledge-Centric Self-Improvementcited by 0
- 2026Knowledge-Centric Self-Improvement21 Jul 2026
- 2026MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery4 Jun 2026
- 2026Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing4 Feb 2026
- 2026Endless Terminals: Scaling RL Environments for Terminal Agents23 Jan 2026
- 2025Critique of World Modelcited by 24
- 2025Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agentscited by 14
- 2026World Models as an Intermediary between Agents and the Real Worldcited by 1
- 2026Can LLM Agents Infer World Models? Evidence from Agentic Automata Learningcited by 1
- 2026Can LLM Agents Infer World Models? Evidence from Agentic Automata Learning15 Jun 2026
- 2026World Models as an Intermediary between Agents and the Real World31 Jan 2026
- 2025Critique of World Model7 Jul 2025
- 2025Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents31 May 2025
- 2026Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generationcited by 6
- 2026Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Trainingcited by 0
- 2026Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edgecited by 0
- 2026Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge28 Sep 2026
- 2026Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Training16 Sep 2026
- 2026Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation21 Jun 2026
- 2024OLMoE: Open Mixture-of-Experts Language Modelscited by 291
- 2024OLMoE: Open Mixture-of-Experts Language Models3 Sep 2024
- 2025SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?cited by 254
- 2025AIDE: AI-Driven Exploration in the Space of Codecited by 206
- 2024SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?cited by 196
- 2024RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graphcited by 88
- 2025CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scalecited by 71
- 2025AgentRxiv: Towards Collaborative Autonomous Researchcited by 64
- 2025SWE-Exp: Experience-Driven Software Issue Resolutioncited by 64
- 2024Commit0: Library Generation from Scratchcited by 50
- 2025Seed-Coder: Let the Code Model Curate Data for Itselfcited by 46
- 2025BaxBench: Can LLMs Generate Correct and Secure Backends?cited by 38
- 2025SWE-QA: Can Language Models Answer Repository-level Code Questions?cited by 37
- 2025MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Usecited by 37
12 most cited of 220 All 220 (JSON)
- 2026Reasoning-Informed Visual Editing8 Oct 2026
- 2026CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution7 Oct 2026
- 2026TestGRAD: Evolving Test Suites via Failure Pattern Momentum for SWE-Agent Ensemble7 Oct 2026
- 2026Mingbird: A Local-First Agent Harness Enabling Small Open Models to Complete Real Tasks1 Oct 2026
- 2026DAYJOB: A Benchmark for Long-Horizon Professional Work1 Oct 2026
- 2026Turbo Harness: Instance-Adaptive Harness Optimization30 Sep 2026
- 2026NarrativeSteward: Coordinating Delegation, Guidance, and Verification in Agent-Assisted Interactive Narrative Authoring30 Sep 2026
- 2026Fyan: A Human--AI Harness with Semantic Auditing for Document-Level Formalization30 Sep 2026
- 2026Trustworthy Runtime Error Healing in Real-World Repositories: A Benchmark and Guardrail30 Sep 2026
- 2026OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime29 Sep 2026
- 2026CRJudgeBench: Can AI Detect Plausible but Invalid Code Reviews?29 Sep 2026
- 2026Traverse: Learning When to Remember, Reset, and Redirect for Long-Horizon Web Search29 Sep 2026
12 newest of 220 All 220 (JSON)
Similar, not cited
Close in wording, no citation either way
- 2026Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use
- 2026OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents
- 2026Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents
- 2025Agentic Refactoring: An Empirical Study of AI Coding Agents
- 2025An Empirical Study of Agent Developer Practices in AI Agent Frameworks
- 2023Agents: An Open-source Framework for Autonomous Language Agents
- 2026OpenThoughts-Agent: Data Recipes for Agentic Models
- 2025AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications