> For the complete documentation index, see [llms.txt](https://ml-models-pro.gitbook.io/ml-models-pro/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ml-models-pro.gitbook.io/ml-models-pro/user-guide/workspace.md).

# Workspace

Workspaces are a core concept in mlmodels.pro, allowing for organized collaboration and resource management.

A **Workspace** system is designed to provide flexibility and control for both individual users and organizations. Think of it as your personal or team-specific virtual office within the mlmodels.pro.

### Key features

* Users can create and own multiple workspaces
* Each workspace can have multiple users
* Users can be part of multiple workspaces
* Every workspace has a single owner

### [​](https://docs.aikeedo.com/advanced/users-workspaces#workspace-owner-capabilities)Owner Capabilities <a href="#workspace-owner-capabilities" id="workspace-owner-capabilities"></a>

**Workspace owners have full control over their workspaces, including the ability to:**

* Create new workspaces
* Delete existing workspaces
* Invite new users to the workspace
* Remove users from the workspace
* Change and manage workspace plans

### [​](https://docs.aikeedo.com/advanced/users-workspaces#default-workspace)Default Workspace <a href="#default-workspace" id="default-workspace"></a>

When you signs up you will be automatically provided with a default workspace. This initial workspace is your personal starting point within the platform. By default, this workspace is typically named “**Personal**,” reflecting its individual nature. Personalize your experience from the very beginning, tailoring your workspace to align with your specific projects or branding requirements.

### [​](https://docs.aikeedo.com/advanced/users-workspaces#user-workspace-relationship)User-Workspace Relationship <a href="#user-workspace-relationship" id="user-workspace-relationship"></a>

**The relationship between users and workspaces is many-to-many:**

* A single user can create and own multiple workspaces
* A single user can be a member of multiple workspaces *(including those owned by others)*
* A workspace can have multiple user members *(according membership plans)*

This structure allows for flexible collaboration and resource sharing across teams or projects, while also enabling users to manage multiple distinct Workspaces for different purposes.