mlsanityData to 7 Oct 2026

The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents

arXiv 2511.03690 ↗First posted 5 Nov 2025cs.SE cs.AIcited by 39

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

Agents are now used widely in the process of software development, but building production-ready software engineering agents is a complex task. Deploying software agents effectively requires flexibility in implementation and experimentation, reliable and secure execution, and interfaces for users to interact with agents. In this paper, we present the OpenHands Software Agent SDK, a toolkit for implementing software development agents that satisfy these desiderata. This toolkit is a complete architectural redesign of the agent components of the popular OpenHands framework for software development agents. To achieve flexibility, we design a simple interface for implementing agents that requires only a few lines of code in the default case, but is easily extensible to more complex full-featured agents with features such as custom tools, memory management, and more. For security and reliability, it delivers seamless local-to-remote execution portability, integrated REST/WebSocket services. For interaction with human users, it can connect directly to a variety of interfaces, such as visual workspaces (VSCode, VNC, browser), command-line interfaces, and APIs. Compared with existing SDKs from OpenAI, Claude and Google, OpenHands uniquely integrates native sandboxed execution, lifecycle control, model-agnostic multi-LLM routing, and built-in security analysis. We validate the architecture empirically: production deployment data shows that V1 substantially reduces system-attributable failures over V0 with negligible event-sourcing overhead, and evaluations across multiple models and benchmarks demonstrate strong agent performance. Put together, these elements allow the OpenHands Software Agent SDK to provide a practical foundation for prototyping, unlocking new classes of custom applications, and reliably deploying agents at scale.

Key facts. Cited by 39 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 7 of its 20 references that are in the map. First posted on arXiv 5 Nov 2025.

Builds on

7 of 20 references.

Closest ancestors · 2

Same direction, newest first

  1. 2024OpenHands: An Open Platform for AI Software Developers as Generalist Agents23 Jul
  2. 2024SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents18 Jun

Other references · 5

  1. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
  2. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  3. 2023GAIA: a benchmark for General AI Assistantscited by 1,084
  4. 2024Commit0: Library Generation from Scratchcited by 50
  5. 2025Coding Agents with Multimodal Browsing are Generalist Problem Solverscited by 24

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 39.

39 papers.

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  1. 2026Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineeringcited by 68
  2. 2026Code as Agent Harnesscited by 40
  3. 2026From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agentscited by 22
  4. 2026SWE-World: Building Software Engineering Agents in Docker-Free Environmentscited by 21
  5. 2026Immersion in the GitHub Universe: Scaling Coding Agents to Masterycited by 20
  6. 2026CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversioncited by 20
  7. 2026BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?cited by 20
  8. 2026SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Trainingcited by 18
  9. 2026Quantifying Frontier LLM Capabilities for Container Sandbox Escapecited by 18
  10. 2026Temporary Authority, Permanent Effects: Commit-Time Authorization for LLM Agentscited by 17
  11. 2026LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growthcited by 12
  12. 2026Effective Strategies for Asynchronous Software Engineering Agentscited by 12
27 more
  1. 2026Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Applicationcited by 8
  2. 2026The Scaffold Effect in Coding Agents: Harness Choice as a Hidden Variable in Coding-Agent Evaluationcited by 8
  3. 2026SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agentscited by 7
  4. 2026Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptationcited by 7
  5. 2026Dialogue SWE-Bench: A Benchmark for Dialogue-Driven Coding Agentscited by 6
  6. 2026CodeDelegator: Mitigating Context Pollution via Role Separation in Code-as-Action Agentscited by 4
  7. 2026EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scalecited by 4
  8. 2026ContextWeaver: Selective and Dependency-Structured Memory Construction for LLM Agentscited by 4
  9. 2026Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Developmentcited by 2
  10. 2026ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Emergent Adaptationcited by 1
  11. 2026One Reflection Is Not Enough: Self-Correcting Autonomous Research via Multi-Hypothesis Failure Attributioncited by 1
  12. 2026Measuring Harness-Induced Belief Divergence in Multi-Step LLM Agentscited by 1
  13. 2026From Cognitive Architectures to Language Agents: A Mechanism-Level Review of Lineage, Convergence, and Migration Gapscited by 1
  14. 2026Deep Agentic Search for Repository-Level Code Question Answering: An Empirical Studycited by 1
  15. 2026CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflectioncited by 0
  16. 2026Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Modelscited by 0
  17. 2026A Systematic Investigation of RL-Jailbreaking in LLMscited by 0
  18. 2026Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Systemscited by 0
  19. 2026RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Trainingcited by 0
  20. 2026Terminal Agents: A Survey of AI Agents in Command-Line Environmentscited by 0
  21. 2026Parsing the Stream: A Live Trace Model for Long-Horizon Agents and Their Observerscited by 0
  22. 2026When the Agent Becomes the Kernel: A Systematization of Security on the Path to AI-Native Operating Systemscited by 0
  23. 2026StateTape: Action-Conditioned Evidence Lifecycle Modeling for Long-Horizon Coding Agentscited by 0
  24. 2026AgBench: Agentic AI Benchmarks for Personal AI Devicescited by 0
  25. 2026Agent Error Dataset: Scaling 50,000 Error--Diagnosis Pairs for Failure Analysis and Error-Aware Post-Trainingcited by 0
  26. 2026EurekaBench: Measuring Agentic Ability to Discover New Scientific Insightscited by 0
  27. 2026DAYJOB: A Benchmark for Long-Horizon Professional Workcited by 0

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  1. 2026OpenSage: Self-programming Agent Generation Engine
  2. 2025A Comprehensive Empirical Evaluation of Agent Frameworks on Code-centric Software Engineering Tasks
  3. 2026An Exploratory Study of Agent Plans for Agentic AI Coding Tools in Open-Source Software
  4. 2026Kozuchi Agent: A Language-Agnostic Open-Weight Agent for Software Repair
  5. 2025Agentic Refactoring: An Empirical Study of AI Coding Agents
  6. 2025Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases
  7. 2026Agentic AI in the Software Development Lifecycle: Architecture, Empirical Evidence, and the Reshaping of Software Engineering
  8. 2026Building Effective AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learned