Skip to main content

๐Ÿ“š Misc

โญ๏ธ Research Strategyโ€‹

Achieving full replication of production-grade applications with LLMs is a complex endeavor. Our strategy involves:

  1. Core Technical Research: Focusing on foundational research to understand and improve the technical aspects of code generation and handling
  2. Specialist Abilities: Enhancing the effectiveness of core components through data curation, training methods, and more
  3. Task Planning: Developing capabilities for bug detection, codebase management, and optimization
  4. Evaluation: Establishing comprehensive evaluation metrics to better understand and improve our models

๐Ÿšง Default Agentโ€‹

Our default Agent is currently the CodeActAgent, which is capable of generating code and handling files.

๐Ÿค How to Contributeโ€‹

OpenHands is a community-driven project, and we welcome contributions from everyone. Whether you're a developer, a researcher, or simply enthusiastic about advancing the field of software engineering with AI, there are many ways to get involved:

  • Code Contributions: Help us develop the core functionalities, frontend interface, or sandboxing solutions
  • Research and Evaluation: Contribute to our understanding of LLMs in software engineering, participate in evaluating the models, or suggest improvements
  • Feedback and Testing: Use the OpenHands toolset, report bugs, suggest features, or provide feedback on usability

For details, please check this document.

๐Ÿค– Join Our Communityโ€‹

We have both Slack workspace for the collaboration on building OpenHands and Discord server for discussion about anything related, e.g., this project, LLM, agent, etc.

If you would love to contribute, feel free to join our community. Let's simplify software engineering together!

๐Ÿš Code less, make more with OpenHands.

Star History Chart

๐Ÿ› ๏ธ Built Withโ€‹

OpenHands is built using a combination of powerful frameworks and libraries, providing a robust foundation for its development. Here are the key technologies used in the project:

FastAPI uvicorn LiteLLM Docker Ruff MyPy LlamaIndex React

Please note that the selection of these technologies is in progress, and additional technologies may be added or existing ones may be removed as the project evolves. We strive to adopt the most suitable and efficient tools to enhance the capabilities of OpenHands.

๐Ÿ“œ Licenseโ€‹

Distributed under the MIT License. See our license for more information.