> ## Documentation Index
> Fetch the complete documentation index at: https://docs.terminaluse.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Core Model

> The primitives you work with in Terminal Use

Terminal Use is easiest to understand when you start from the resource model instead of the API surface.

## The Primitives

| Primitive     | What it is                                                   | Why it matters                                                  |
| ------------- | ------------------------------------------------------------ | --------------------------------------------------------------- |
| `Namespace`   | Your isolation boundary for compute and storage              | Most teams start with one namespace                             |
| `Project`     | A collaboration and permission boundary for filesystems      | Useful for customer- or workflow-level access control           |
| `Filesystem`  | Persistent files mounted into tasks at `/workspace`          | Shared storage across tasks                                     |
| `Agent`       | Your deployed Python runtime                                 | Each deploy creates a new version                               |
| `Environment` | A named deployment policy, such as `production` or `preview` | Branch rules resolve branches into environments                 |
| `Branch`      | A deployment slot for a git branch                           | A branch points at the current active version                   |
| `Version`     | One deployed build of an agent                               | Tasks are created against a specific version                    |
| `Task`        | One running conversation or unit of work                     | Holds state, messages, events, and an optional filesystem mount |
| `Event`       | Input sent to a task                                         | Usually user text or structured data                            |
| `Message`     | Output emitted by the agent                                  | Usually assistant text, UI parts, or streamed tool output       |
| `State`       | Per-task persisted JSON                                      | Used for continuity across turns                                |

## The Two Loops

### Deploy Loop

1. Write or change agent code.
2. Run `tu deploy`.
3. Terminal Use creates a new version.
4. That version becomes active on the branch's environment.

See [Deployments](/concepts/deployments).

### Run Loop

1. Create or choose a filesystem.
2. Create a task against an agent.
3. Send events to the task.
4. Read streamed messages and persisted state.
5. Pull the filesystem back out if you need the results locally.

See [Task Lifecycle](/concepts/task-lifecycle).

## What Gets Mounted Into Runtime

When a task runs with a filesystem attached, the runtime sees:

| Path            | Purpose                            |
| --------------- | ---------------------------------- |
| `/workspace`    | The mounted filesystem             |
| `/root/.claude` | Task-scoped Claude state when used |
| `/root/.codex`  | Task-scoped Codex state when used  |

Agent code itself is mounted separately and read-only inside the sandbox.

## One Important Distinction

The Python SDK is the public agent runtime surface. The TypeScript and Python clients are for calling deployed agents and managing resources from your app or backend.

Use [Building Agents](/introduction/building-agents) for the runtime model and [Using Agents](/introduction/using-agents) for app-side integration.

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