by open-webui · Agent Tool · ★ 2.3k
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⚡ Open Terminal A lightweight, self-hosted terminal that gives AI agents and automation tools a dedicated environment to run commands, manage files, and execute code — all through a simple API. Why Open Terminal? AI assistants are great at writing code, but they need somewhere to run it. Open Terminal is that place — a remote shell with file management, search, and more, accessible over a simple REST API. You can run it two ways: Docker (sandboxed) — runs in an isolated container with a full toolkit pre-installed: Python, Node.js, git, build tools, data science libraries, ffmpeg, and more. Great for giving AI agents a safe playground without touching your host system. Bare metal — install it with and run it anywhere Python runs. Commands run directly on your machine with access to your real files, your real tools, and your real environment, perfect for local development, personal automation, or giving an AI assistant full access to your actual projects. Getting Started Docker (recommended) That's it — you're up and running at . [!TIP] If you don't set an API key, one is generated automatically. Grab it with .
| Stars | 2,311 |
| Forks | 175 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62.144/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-17 |
| Created | 2026-02-10 |
| Platforms | browser, python |
| Est. Tokens | ~13k |
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open-terminal is A computer you can curl ⚡. It is categorized as a Agent Tool with 2.3k GitHub stars.
open-terminal is primarily written in Python. It covers topics such as agentic-ai, ai, ai-agents.
You can find installation instructions and usage details in the open-terminal GitHub repository at github.com/open-webui/open-terminal. The project has 2.3k stars and 175 forks, indicating an active community.
open-terminal is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to open-terminal on Agent Skills Hub include bytebot, steel-browser, cursor-talk-to-figma-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.