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

# Introduction

> What goldengoose is, who it is for, and where to start.

goldengoose (gg) is a desktop workspace for running and coordinating AI coding agents in parallel — with the visibility and control you need when the agents are touching real code.

gg is designed for people who want to:

* move faster on real repositories (not toy demos),
* run multiple specialist agents at once,
* keep tool runs and changes observable,
* and reduce the “what just happened?” moments that usually come with agent automation.

## Start here

If this is your first time setting up the app, start with [Quickstart](/quickstart).

If you already have the app installed, the fastest way to get value is:

1. Open a workspace (a folder with code you care about).
2. Create a new thread.
3. Pick a provider + model.
4. Ask for a small, concrete change (one file, one feature, one fix).
5. Watch the timeline as the agent uses tools, and approve what you’re comfortable with.

## Key concepts (mental model)

* **Workspace**: the folder you opened (typically a repo). gg keeps sessions and file views scoped to it.
* **Thread**: one agent chat session. Think “one line of work” with its own context and timeline.
* **Team**: a group of threads working together. One thread is the **lead**; the rest are **members**.
* **Tool calls**: actions an agent can take (run commands, edit files, send messages). gg surfaces these so you can review what happened.
* **Background processes**: long-running commands that keep going without blocking the conversation, with results injected back into the owning thread.

## Documentation map

Use these sections as your primary entry points:

* [Getting started](/quickstart) for install and first-run setup.
* [Guides](/guides/lead-workflow) for practical workflows and delegation patterns.
* [How it works](/how-it-works/gg-tools) for a high-level view of the runtime, tools, and teams.
* [Auth](/auth/openai) for provider-specific authentication setup.
* [Configure](/configure/hooks-reference) for preferences, policies, and customization.