OpenHands

Introduction

In today's fast-moving software development landscape, automation and intelligence have become critical to improving engineering efficiency. OpenHands is an open-source, model-agnostic platform designed to help developers and teams build and deploy cloud-based coding agents. Our core mission is to let you automate real engineering tasks securely, transparently, and with full control, so you can focus your creativity on more strategic work.

Key Features

• Agent building and orchestration: Easily define, combine, and test agent workflows and decision logic using visual tools or code.
• Model-agnostic architecture: Freely connect and switch between different AI models (such as GPT, Claude, open-source models, and more) to avoid vendor lock-in.
• Secure sandboxed execution: All code runs in a controlled cloud sandbox environment, ensuring system and data security.
• Automated task deployment: Deploy agents as API services or scheduled tasks with one click, seamlessly integrating into your existing development pipeline.
• Complete audit logs: Every action, decision, and code change made by an agent is recorded, providing full transparency and traceability.

Highlights

• Fully open and transparent: The entire codebase is open, allowing you to review, modify, and trust every part of the platform.
• Enterprise-grade security and control: Built with a security-first philosophy, you always retain ultimate control over agent behavior, data access, and permissions.
• Boosted engineering productivity: Automate repetitive tasks such as code review, bug fixing, documentation generation, and test writing to significantly free up team capacity.
• Flexible integration capabilities: Easily connect with mainstream development toolchains including GitHub, GitLab, Jira, and Slack to fit into your existing workflows.

Who It's For

OpenHands is ideal for software development teams looking to adopt AI-assisted programming to accelerate development speed and improve code quality; DevOps and platform engineers seeking to build intelligent, automated internal tools; technical leaders and CTOs who care about technology strategy and want to introduce AI capabilities in a safe, controlled way while maintaining stack independence; and independent developers and startups that need to scale their engineering capacity with minimal cost and maximum efficiency.