Skip to main content

A remote terminal API.

Project description

⚡ 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 pip 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)

docker run -d --name open-terminal --restart unless-stopped -p 8000:8000 -v open-terminal:/home/user -e OPEN_TERMINAL_API_KEY=your-secret-key ghcr.io/open-webui/open-terminal

That's it — you're up and running at http://localhost:8000.

[!TIP] If you don't set an API key, one is generated automatically. Grab it with docker logs open-terminal.

Customizing the Docker Environment

The default image ships with a broad set of tools, but you can tailor it to your needs. Fork the repo, edit the Dockerfile to add or remove system packages, Python libraries, or language runtimes, then build your own image:

docker build -t my-terminal .
docker run -d --name open-terminal -p 8000:8000 my-terminal

Bare Metal

No Docker? No problem. Open Terminal is a standard Python package:

# One-liner with uvx (no install needed)
uvx open-terminal run --host 0.0.0.0 --port 8000 --api-key your-secret-key

# Or install globally with pip
pip install open-terminal
open-terminal run --host 0.0.0.0 --port 8000 --api-key your-secret-key

[!CAUTION] On bare metal, commands run directly on your machine with your user's permissions. Use Docker if you want sandboxed execution.

Configuration

Open Terminal can be configured via a TOML config file, environment variables, and CLI flags. Settings are resolved in this order (highest priority wins):

  1. CLI flags (--host, --port, --api-key, etc.)
  2. Environment variables (OPEN_TERMINAL_API_KEY, etc.)
  3. User config$XDG_CONFIG_HOME/open-terminal/config.toml (defaults to ~/.config/open-terminal/config.toml)
  4. System config/etc/open-terminal/config.toml
  5. Built-in defaults

Create a config file at either location with any of these keys (all optional):

host = "0.0.0.0"
port = 8000
api_key = "sk-my-secret-key"
cors_allowed_origins = "*"
log_dir = "/var/log/open-terminal"
binary_mime_prefixes = "image,audio"

[!TIP] Use the system config at /etc/open-terminal/config.toml to set site-wide defaults for host and port, and the user config for personal settings like the API key — this keeps the key out of ps / htop.

You can also point to a specific config file:

open-terminal run --config /path/to/my-config.toml

Using with Open WebUI

Open Terminal integrates with Open WebUI, giving your AI assistants the ability to run commands, manage files, and interact with a terminal right from the AI interface. Make sure to add it under Open Terminal in the integrations settings, not as a tool server. Adding it as an Open Terminal connection gives you a built-in file navigation sidebar where you can browse directories, upload, download, and edit files. There are two ways to connect:

Direct Connection

Users can connect their own Open Terminal instance from their user settings. This is useful when the terminal is running on their local machine or a network only they can reach, since requests go directly from the browser.

  1. Go to User Settings → Integrations → Open Terminal
  2. Add the terminal URL and API key
  3. Enable the connection

System-Level Connection

Admins can configure Open Terminal connections for their users from the admin panel. Multiple terminals can be set up with access controlled at the user or group level. Requests are proxied through the Open WebUI backend, so the terminal only needs to be reachable from the server.

  1. Go to Admin Settings → Integrations → Open Terminal
  2. Add the terminal URL and API key
  3. Enable the connection

For isolated, per-user terminal containers, see Terminals, which requires an enterprise license for production use.

API Docs

Full interactive API documentation is available at http://localhost:8000/docs once your instance is running.

Star History

Star History Chart

[!TIP] Need multi-tenant? Check out Terminals, which provisions and manages isolated Open Terminal containers per user with a single authenticated API entry point.

License

MIT — see LICENSE for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

open_terminal-0.8.1.tar.gz (27.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

open_terminal-0.8.1-py3-none-any.whl (23.0 kB view details)

Uploaded Python 3

File details

Details for the file open_terminal-0.8.1.tar.gz.

File metadata

  • Download URL: open_terminal-0.8.1.tar.gz
  • Upload date:
  • Size: 27.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.0

File hashes

Hashes for open_terminal-0.8.1.tar.gz
Algorithm Hash digest
SHA256 21dacb8dd16f13bfdfe7b755d5068562d09cf5d16536c618b5b2c55da5076218
MD5 8b511ad3e71d97e3970c33d533106458
BLAKE2b-256 70a0de7cce81c06e0336a4728dba766791e5ab7f78da103afa62363995017b0a

See more details on using hashes here.

File details

Details for the file open_terminal-0.8.1-py3-none-any.whl.

File metadata

File hashes

Hashes for open_terminal-0.8.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b850f3740a5c2be8e6156e5e5a90d6c5d9bd0d24993bc5d99893a09c884d7bb4
MD5 e76b293b640c1aef552ab5e92e2bcc2b
BLAKE2b-256 316a62f956997140c79df6e46c2802c178166496de5c334fa2d614ccaa0d8efe

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page