> For the complete documentation index, see [llms.txt](https://docs.supervisely.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.supervisely.com/agents/connect-your-computer.md).

# Installation

## Installation instructions for different operating systems:

* [Unix-based](/agents/connect-your-computer/unix-based.md)
* [Windows WSL](/agents/connect-your-computer/windows-wsl.md)

## Agent

Learn how Supervisely agent works and how to maintain it in the [Agent](https://github.com/supervisely/docs/blob/master/agents/README.md) section.

* [About Supervisely Agent](https://github.com/supervisely/docs/blob/master/agents/README.md)
* [Adding, Restarting, and Deleting Nodes](/agents/add_delete_node.md)
* [How the Agent Works](/agents/agent.md)
* [Agent Storage](/agents/agent-storage.md)
* [Leveraging Amazon AMI for Agent Deployment](/agents/connect-your-computer/ami.md)
* [Efficient Cleanup and Resource Management](https://github.com/supervisely/docs/blob/master/agents/clean_up/clean_up.md)
* [Custom Docker Registry Integration](/agents/custom-docker-registry.md)
* [Management](https://github.com/supervisely/docs/blob/master/agents/manage/manage.md)
* [Status, and Troubleshooting](/agents/status.md)

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Installation Linux</strong></td><td>Everything you need to know about deploying Supervisely agent on Unix-based operating systems.</td><td><a href="/pages/lSHXH2eHBOkzuvBj8IZU">/pages/lSHXH2eHBOkzuvBj8IZU</a></td></tr><tr><td><strong>Installation Windows</strong></td><td>Everything you need to know about deploying Supervisely agent on Windows WSL.</td><td><a href="/pages/MHMZN2d5GzCfd3f0pEWY">/pages/MHMZN2d5GzCfd3f0pEWY</a></td></tr><tr><td><strong>Installation AMI AWS</strong></td><td>If, for some reason, your computer doesn't meet the requirements, hardware (no GPU) or software (no CUDA or nvidia-docker), there is a quick way to try training &#x26; inference with Supervisely on Amazon EC2.</td><td><a href="/pages/0iVl6TX1AR0ACLPHpUqP">/pages/0iVl6TX1AR0ACLPHpUqP</a></td></tr><tr><td><strong>Installation Kubernetes</strong></td><td>Follow these steps to deploy Supervisely in Kubernetes cluster</td><td><a href="/pages/GTZ7wYT3N8fQTfFrrkl1">/pages/GTZ7wYT3N8fQTfFrrkl1</a></td></tr></tbody></table>