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Getting Started

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This section introduces core concepts, common workflows, and next steps for using Daytona.

Dashboard

Daytona Dashboard ↗ is a visual user interface where you can manage sandboxes, access API keys, view usage, and more. It serves as the primary point of control for managing your Daytona resources.

SDKs

Daytona provides Python, TypeScript, Ruby, and Go SDKs to programmatically interact with sandboxes. They support sandbox lifecycle management, code execution, resource access, and more.

CLI

Daytona provides command-line access to core features for interacting with Daytona Sandboxes, including managing their lifecycle, snapshots, and more.

To interact with Daytona Sandboxes from the command line, install the Daytona CLI:

Terminal window
brew install daytonaio/cli/daytona

After installing the Daytona CLI, use the daytona command to interact with Daytona Sandboxes from the command line.

To upgrade the Daytona CLI to the latest version:

Terminal window
brew upgrade daytonaio/cli/daytona

To view all available commands and flags, see the CLI reference.

API

Daytona provides a RESTful API for interacting with Daytona Sandboxes, including managing their lifecycle, snapshots, and more. It serves as a flexible and powerful way to interact with Daytona from your own applications.

To interact with Daytona Sandboxes from the API, see the API reference.

MCP server

Daytona provides a Model Context Protocol (MCP) server that enables AI agents to interact with Daytona Sandboxes programmatically. The MCP server integrates with popular AI agents including Claude, Cursor, and Windsurf.

To set up the MCP server with your AI agent:

Terminal window
daytona mcp init [claude/cursor/windsurf]

For more information, see the MCP server documentation.

Multiple runtime support

Daytona supports multiple programming language runtimes for direct code execution inside the sandbox.

TypeScript SDK works across multiple JavaScript runtimes including Node.js, browsers, and serverless platforms: Cloudflare Workers, AWS Lambda, Azure Functions, etc.

Using the Daytona SDK in browser-based environments or frameworks like Vite and Next.js requires configuring node polyfills.

Daytona in Vite projects

When using Daytona SDK in a Vite-based project, configure node polyfills to ensure compatibility.

Add the following configuration to your vite.config.ts file in the plugins array:

import { nodePolyfills } from 'vite-plugin-node-polyfills'
export default defineConfig({
plugins: [
// ... other plugins
nodePolyfills({
globals: { global: true, process: true, Buffer: true },
overrides: {
path: 'path-browserify-win32',
},
}),
],
// ... rest of your config
})

Daytona in Next.js projects

When using Daytona SDK in a Next.js project, configure node polyfills to ensure compatibility with Webpack and Turbopack bundlers.

Add the following configuration to your next.config.ts file:

import type { NextConfig } from 'next'
import NodePolyfillPlugin from 'node-polyfill-webpack-plugin'
import { env, nodeless } from 'unenv'
const { alias: turbopackAlias } = env(nodeless, {})
const nextConfig: NextConfig = {
// Turbopack
experimental: {
turbo: {
resolveAlias: {
...turbopackAlias,
},
},
},
// Webpack
webpack: (config, { isServer }) => {
if (!isServer) {
config.plugins.push(new NodePolyfillPlugin())
}
return config
},
}
export default nextConfig

Guides

Daytona provides a comprehensive set of guides to help you get started. The guides cover a wide range of topics, from basic usage to advanced topics, and showcase various types of integrations between Daytona and other tools.

For more information, see guides.

Examples

Daytona provides quick examples for common sandbox operations and best practices.
The examples are based on the Daytona Python SDK, TypeScript SDK, Go SDK, Ruby SDK, CLI, and API references. More examples are available in the GitHub repository ↗.

Create a sandbox

Create a sandbox with default settings.

from daytona import Daytona
daytona = Daytona()
sandbox = daytona.create()
print(f"Sandbox ID: {sandbox.id}")

Create and run code in a sandbox

Create a sandbox and run code securely in it.

from daytona import Daytona
daytona = Daytona()
sandbox = daytona.create()
response = sandbox.process.exec("echo 'Hello, World!'")
print(response.result)
sandbox.delete()

Create a sandbox with custom resources

Create a sandbox with custom resources (CPU, memory, disk).

from daytona import Daytona, CreateSandboxFromImageParams, Image, Resources
daytona = Daytona()
sandbox = daytona.create(
CreateSandboxFromImageParams(
image=Image.debian_slim("3.12"),
resources=Resources(cpu=2, memory=4, disk=8)
)
)

Create an ephemeral sandbox

Create an ephemeral sandbox that is automatically deleted when stopped.

from daytona import Daytona, CreateSandboxFromSnapshotParams
daytona = Daytona()
sandbox = daytona.create(
CreateSandboxFromSnapshotParams(ephemeral=True, auto_stop_interval=5)
)

Create a sandbox from a snapshot

Create a sandbox from a pre-built snapshot for faster sandbox creation with pre-installed dependencies.

from daytona import Daytona, CreateSandboxFromSnapshotParams
daytona = Daytona()
sandbox = daytona.create(
CreateSandboxFromSnapshotParams(
snapshot="my-snapshot-name",
language="python"
)
)

Create a sandbox with a declarative image

Create a sandbox with a declarative image that defines dependencies programmatically.

from daytona import Daytona, CreateSandboxFromImageParams, Image
daytona = Daytona()
image = (
Image.debian_slim("3.12")
.pip_install(["requests", "pandas", "numpy"])
.workdir("/home/daytona")
)
sandbox = daytona.create(
CreateSandboxFromImageParams(image=image),
on_snapshot_create_logs=print
)

Create a sandbox with volumes

Create a sandbox with a volume mounted to share data across sandboxes.

from daytona import Daytona, CreateSandboxFromSnapshotParams, VolumeMount
daytona = Daytona()
volume = daytona.volume.get("my-volume", create=True)
sandbox = daytona.create(
CreateSandboxFromSnapshotParams(
volumes=[VolumeMount(volume_id=volume.id, mount_path="/home/daytona/data")]
)
)

Create a sandbox with a Git repository cloned

Create a sandbox with a Git repository cloned to manage version control.

from daytona import Daytona
daytona = Daytona()
sandbox = daytona.create()
sandbox.git.clone("https://github.com/daytonaio/daytona.git", "/home/daytona/daytona")
status = sandbox.git.status("/home/daytona/daytona")
print(f"Branch: {status.current_branch}")

Create a sandbox with labels

Create a sandbox with labels to organize and find sandboxes.

from daytona import Daytona, CreateSandboxFromSnapshotParams
daytona = Daytona()
sandbox = daytona.create(
CreateSandboxFromSnapshotParams(labels={"project": "my-app", "env": "dev"})
)
found = daytona.find_one(labels={"project": "my-app"})
print(f"Found sandbox: {found.id}")