It is a platform for software development agents powered by AI, designed to assist developers by automating tasks typically performed by humans. OpenHands (formerly OpenDevin) enables users to modify code, run commands, browse the web, call APIs, and even copy code snippets from platforms like StackOverflow. The platform is accessible via Docker and runs locally at http://localhost:3000. Users need a model provider and API key, with Anthropic’s Claude 3.5 Sonnet being the recommended option, though other providers are supported. OpenHands can also connect to local filesystems, operate in a headless mode, interact via a CLI, or integrate with GitHub actions for issue management.
OpenHands is intended for single-user local workstation use and is not suitable for multi-tenant deployments due to a lack of built-in isolation or scalability. However, advanced deployment options for multi-tenant environments are available upon request. The platform is community-driven, with contributions encouraged through Slack, Discord, or GitHub. It is distributed under the MIT License and built upon various open-source projects, with credits detailed in the CREDITS.md file.
For further information, users can refer to the documentation, which includes setup instructions, troubleshooting guides, and advanced configuration options. OpenHands also offers a Design Partner program for early access to commercial features and input on the product roadmap. The platform is continuously updated, with a monthly roadmap available for tracking progress.
It is an AI-powered micro agent designed to write and fix code for developers by generating code, creating tests, and iterating until all test cases pass.
It is a suite of tools designed to support developers throughout the lifecycle of building, running, and managing large language model (LLM) applications.
It is an AI-powered tool designed to enhance software development productivity by automating tasks, solving bugs, and providing real-time collaboration within GitHub.
It is an AI-powered software testing platform designed to automate API and UI testing with no human intervention, enabling developers to achieve enterprise-level QA efficiency.
It is a unified observability and evaluation platform for AI designed to accelerate the development of AI applications and agents while optimizing their performance in production.
It is an AI software engineer designed to assist and collaborate with human engineers by autonomously handling complex engineering tasks, allowing teams to focus on more ambitious goals.
It is the first AI agent-powered Integrated Development Environment (IDE) designed to seamlessly integrate the work of developers and AI, creating a coding experience that feels intuitive and magical.
It is an AI-powered coding assistant designed to enhance the software development process by providing contextualized code completions, chat assistance, and suggestions throughout the development lifecycle.
It is an advanced AI software engineer designed to understand high-level human instructions, break them down into actionable steps, research relevant information, and write code to achieve specific objectives.
It is an advanced AI software engineer designed to understand high-level human instructions, break them down into actionable steps, research relevant information, and write code to achieve specific objectives.
It is an AI agent called bumpgen that upgrades npm packages, specifically for TypeScript and TSX projects, while automatically making necessary code changes to address any breaking changes caused by the upgrades.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is a Chrome extension called Qodo Merge that integrates AI-powered chat and code review tools directly into GitHub to analyze pull requests, automate reviews, highlight changes, suggest improvements, and ensure code changes adhere to best practices.
"It is a fast and lightweight framework designed for creating decentralized agents with ease. The uAgents library, developed by Fetch.ai, enables the creation of autonomous AI agents in Python using simple and expressive decorators.
It is a Python framework designed for building agentic AI workflows, which are processes that delegate at least some of their work to an LLM (Large Language Model) agent.
It is a minimalist AI agent framework developed by Hugging Face, designed to enable developers to create and deploy powerful AI agents with minimal effort and code.
It is a composable framework called FloAI that simplifies the creation of AI agent architectures by providing a flexible, modular approach to building agent-based applications.
