---
title: Daytona Documentation
description: Start managing your sandboxes with Daytona.
sidebar:
label: Quickstart
---
Daytona is secure and elastic cloud infrastructure built for autonomous agents.
Daytona provides **composable computers for agents** — [sandboxes](/docs/v2/sandboxes) — virtual machines with hardware isolation, a dedicated kernel, filesystem, network, and allocated vCPU, RAM, and disk.
Sandboxes are the core component of the Daytona platform, spinning up in under 90ms from code to execution and running any code in Python, TypeScript, and JavaScript. Built on OCI/Docker compatibility and massive parallelization, sandboxes deliver consistent, predictable environments for AI, autonomous agents, and reinforcement learning.
## Get started
1. Create an account → [app.daytona.com](https://app.daytona.com)
2. Get an API key → [app.daytona.com/dashboard/keys](https://app.daytona.com/dashboard/keys)
3. Save the API key → `DAYTONA_API_KEY` environment variable or in a `.env` file.
```bash
DAYTONA_API_KEY=YOUR_API_KEY
```
```bash
export DAYTONA_API_KEY=YOUR_API_KEY
```
```powershell
$env:DAYTONA_API_KEY="YOUR_API_KEY"
```
4. Install the Python SDK
```bash
pip install daytona
```
5. Create a sandbox and run code
```python
from daytona import Daytona
daytona = Daytona()
sandbox = daytona.v2.create()
response = sandbox.run_code('print("Hello World")')
print(response.logs.stdout)
```
4. Install the TypeScript SDK
```bash
npm install @daytona/sdk
```
5. Create a sandbox and run code
```typescript
import { Daytona } from '@daytona/sdk'
const daytona = new Daytona()
const sandbox = await daytona.v2.create()
const response = await sandbox.runCode('print("Hello World")')
console.log(response.logs.stdout)
```
4. Install the CLI
```bash
brew install daytonaio/cli/daytona
```
```bash
# Downloads the amd64 or arm64 binary for this host
ARCH=$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/') && \
sudo curl -fL "https://github.com/daytona/clients/releases/latest/download/daytona-linux-$ARCH" -o /usr/local/bin/daytona && \
sudo chmod +x /usr/local/bin/daytona
```
```bash
powershell -Command "irm https://get.daytona.io/windows | iex"
```
5. Log in
```bash
daytona login --token "$DAYTONA_API_KEY" --api-url https://api.daytona.com
```
```powershell
daytona login --token "$env:DAYTONA_API_KEY" --api-url https://api.daytona.com
```
6. Create a sandbox and run code
```bash
daytona sandbox create
daytona sandbox exec {sandboxId} -- python -c 'print("Hello World")'
```
4. Create a sandbox and run code
```bash
# Create sandbox
curl 'https://api.daytona.com/sandboxes' \
--request POST \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DAYTONA_API_KEY" \
--data '{}'
# Wait until running
curl 'https://api.daytona.com/sandboxes/{sandboxId}?wait=running&timeout_ms=60000' \
--header "Authorization: Bearer $DAYTONA_API_KEY"
# Run code
curl 'https://toolbox.daytona.com/toolbox/{sandboxId}/processes?waitMs=30000&logs=text' \
--request POST \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DAYTONA_API_KEY" \
--data '{"kind": "code", "language": "python", "code": "print(\"Hello World\")"}'
```
## References
Daytona provides a comprehensive set of resources for developers and agents to get started and build on the platform. You can find the following resources in the documentation:
- **Daytona Sandboxes**: [Linux](/docs/v2/sandboxes#linux-sandboxes), [Windows](/docs/v2/sandboxes#windows-sandboxes), [GPU](/docs/v2/sandboxes#gpu-sandboxes), [macOS](/docs/v2/sandboxes#macos-sandboxes)
- **Daytona SDKs**: [TypeScript](/docs/v2/typescript-sdk), [Python](/docs/v2/python-sdk)
- **Daytona APIs**: [Platform](/docs/v2/api/daytona) ([OpenAPI](/docs/v2/openapi.json)), [Toolbox](/docs/v2/api/toolbox) ([OpenAPI](/docs/v2/toolbox-openapi.json))
- **Daytona CLI**: [Mac/Linux/Windows](/docs/v2/cli)
- **Daytona LLMs**: [llms.txt](https://www.daytona.io/docs/llms.txt), [llms-full.txt](https://www.daytona.io/docs/llms-full.txt)
- **Daytona Markdown**: suffix pages with `.md` (e.g [sandboxes.md](/docs/v2/sandboxes.md))