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OpenHands

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Basic Information

OpenHands is an open platform for building and running AI-powered software development agents. The project provides a complete agent environment that can modify source code, run shell commands, browse the web, call external APIs, and perform developer tasks automatically. It targets individual developers running a single-user instance locally or via OpenHands Cloud, and includes both a GUI server and a CLI mode. The README documents local launch options (a recommended CLI launcher using uv and a Docker image), configuration steps such as selecting an LLM provider and adding an API key, and operational notes like recommended LLMs and migration hints for older versions. The repo is community-driven, licensed under MIT, accompanied by documentation, an arXiv paper, a public roadmap, and channels for community support and contributions.

Links

Stars
62121
App URL
https://github.com/All-Hands-AI/OpenHands
Github Repository
https://github.com/All-Hands-AI/OpenHands/blob/main/README.md

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App Details

Features
OpenHands provides generalist developer agents capable of editing code, executing commands, browsing the web, and calling APIs. It supports multiple runtime modes including a GUI served at localhost:3000, a CLI launcher via uv, and a Docker runtime. There is a hosted OpenHands Cloud with trial credits for new users. The project documents integration with LLM providers and recommends specific models, includes headless/scriptable operation, GitHub Action support for running agents on tagged issues, and options to connect to the local filesystem. The repo also supplies a hardened Docker installation guide for public deployments, development guidance for modifying source code, community channels (Slack and Discord), and links to evaluation benchmarks and the project paper.
Use Cases
OpenHands helps developers automate and accelerate software engineering tasks by providing agents that act like human developers: they can change codebases, run tests and commands, browse documentation and the web for information, and integrate with external APIs. Running locally or in the cloud lets users experiment with agent behaviors, reproduce workflows, and automate repetitive tasks. The CLI, GUI, Docker, and headless modes make it adaptable for interactive use, scripting, and CI workflows. Documentation, community support, and a public roadmap help users adopt and extend the platform. The project also offers guidance for secure Docker deployments and a Design Partner program for organizations seeking early access to commercial features.

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