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Daytona is a secure and elastic infrastructure runtime for AI-generated code execution and agent workflows. Our open-source platform provides sandboxes, full composable computers with complete isolation, a dedicated kernel, filesystem, network stack, 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, massive parallelization, and unlimited persistence, sandboxes deliver consistent, predictable environments for agent workflows.
Agents and developers interact with sandboxes programmatically using the Daytona SDKs, API, and CLI. Operations span sandbox lifecycle management, filesystem operations, process and code execution, and runtime configuration through base images, packages, and tooling. Our stateful environment snapshots enable persistent agent operations across sessions, making Daytona the ideal foundation for AI agent architectures.
Daytona provides an extensive set of features and tools for interacting with sandboxes.
- Platform: governance and operational controls for organizations standardizing on Daytona
- Sandboxes: isolated full composable computers that execute workloads and retain state
- Agent tools: programmatic capabilities for application code, agents, and integrations
- Human tools: interfaces and remote sessions for interacting with sandboxes
- System tools: platform-level hooks and controls for lifecycle events and network access
Daytona platform is organized into multiple plane components, each serving a specific purpose. A detailed overview of each component is available in the architecture documentation.
- Interface plane: provides client interfaces for interacting with Daytona
- Control plane: orchestrates all sandbox operations
- Compute plane: runs and manages sandbox instances
Runnable applications and services for the Daytona platform. Each directory is a deployable or buildable component, available in the apps directory.
api: NestJS-based RESTful service; primary entry point for all platform operationscli: Go command-line interface access to core features for interacting with sandboxesdaemon: code execution agent that runs inside each sandboxdashboard: web user interface for visual sandbox managementdocs: documentation content; website published to daytona.io/docsotel-collector: trace and metric collection for Daytona SDK operationsproxy: reverse proxy for custom routing and preview URLsrunner: compute nodes that power Daytona's compute plane and run sandboxessnapshot-manager: orchestrates the creation of sandbox snapshotsssh-gateway: standalone SSH gateway that accepts authenticatedsshconnections
Client libraries integrate the Daytona platform from application code through developer-facing SDKs backed by OpenAPI-generated REST clients and toolbox API clients. Each directory is a publishable package for a specific language or runtime, available in the libs directory.
pip install daytonaStandalone packages and libraries for interacting with Daytona using Python:
sdk-python•api-client-python•api-client-python-async•toolbox-api-client-python•toolbox-api-client-python-async
npm install @daytona/sdkStandalone packages and libraries for interacting with Daytona using TypeScript:
gem install daytonaStandalone packages and libraries for interacting with Daytona using Ruby:
go get github.com/daytonaio/daytona/libs/sdk-goStandalone packages and libraries for interacting with Daytona using Go:
Gradle (build.gradle.kts):
dependencies {
implementation("io.daytona:sdk:0.1.0")
}Maven (pom.xml):
<dependency>
<groupId>io.daytona</groupId>
<artifactId>sdk</artifactId>
<version>0.1.0</version>
</dependency>Standalone packages and libraries for interacting with Daytona using Java:
Daytona is available as a managed service on app.daytona.io. Daytona can run as a fully hosted service, as an open-source stack you operate, or in a hybrid setup where Daytona orchestrates sandboxes while execution happens on machines you manage.
- Open source deployment: full local stack from the
dockerdirectory using Docker Compose - Customer managed compute: custom regions and runner machines that operate Daytona sandboxes on your own compute infrastructure
- Create an account at app.daytona.io
- Generate an API key
- Create a sandbox
from daytona import Daytona, DaytonaConfig
config = DaytonaConfig(api_key="YOUR_API_KEY")
daytona = Daytona(config)
sandbox = daytona.create()
response = sandbox.process.code_run('print("Hello World!")')
print(response.result)import { Daytona } from "@daytona/sdk";
const daytona = new Daytona({ apiKey: "YOUR_API_KEY" });
const sandbox = await daytona.create();
const response = await sandbox.process.codeRun('print("Hello World!")');
console.log(response.result);require 'daytona'
config = Daytona::Config.new(api_key: 'YOUR_API_KEY')
daytona = Daytona::Daytona.new(config)
sandbox = daytona.create
response = sandbox.process.code_run(code: 'print("Hello World!")')
puts response.resultpackage main
import (
"context"
"fmt"
"github.com/daytonaio/daytona/libs/sdk-go/pkg/daytona"
"github.com/daytonaio/daytona/libs/sdk-go/pkg/types"
)
func main() {
config := &types.DaytonaConfig{APIKey: "YOUR_API_KEY"}
client, _ := daytona.NewClientWithConfig(config)
ctx := context.Background()
sandbox, _ := client.Create(ctx, nil)
response, _ := sandbox.Process.ExecuteCommand(ctx, "echo 'Hello World!'")
fmt.Println(response.Result)
}import io.daytona.sdk.Daytona;
import io.daytona.sdk.DaytonaConfig;
import io.daytona.sdk.Sandbox;
import io.daytona.sdk.model.ExecuteResponse;
public class Main {
public static void main(String[] args) {
DaytonaConfig config = new DaytonaConfig.Builder()
.apiKey("YOUR_API_KEY")
.build();
try (Daytona daytona = new Daytona(config)) {
Sandbox sandbox = daytona.create();
ExecuteResponse response = sandbox.getProcess().executeCommand("echo 'Hello World!'");
System.out.println(response.getResult());
}
}
}curl 'https://app.daytona.io/api/sandbox' \
--request POST \
--header 'Authorization: Bearer <YOUR_API_KEY>' \
--header 'Content-Type: application/json' \
--data '{}'daytona createOpen this repository in a devcontainer-compatible editor (VS Code, GitHub Codespaces) for a batteries-included setup with all languages, tools, and supporting services.
If you prefer working outside the devcontainer — or are an AI agent executing build commands — use the Nix dev shells:
# Enter the full dev shell (Go + Node + Python + Ruby + JDK)
nix develop
# Or pick a language-specific shell
nix develop .#go # Go services & libs
nix develop .#node # TypeScript / Node.js apps & libs
nix develop .#python # Python SDKs & libs
nix develop .#ruby # Ruby SDKs & libs
nix develop .#java # Java SDKs & libsPrerequisites: Nix with flakes enabled (experimental-features = nix-command flakes in ~/.config/nix/nix.conf).
For non-interactive / CI usage:
nix develop .#go --command bash -c "go build ./..."Optional: Install direnv + nix-direnv for automatic shell activation when you cd into the project.
See AGENTS.md for the full shell reference, project-to-shell mapping, and common commands.
Note: Supporting services (PostgreSQL, Redis, etc.) are still managed via
docker compose -f .devcontainer/docker-compose.yaml up.
Note
Daytona is Open Source under the GNU AFFERO GENERAL PUBLIC LICENSE, and is the copyright of its contributors. If you would like to contribute to the software, read the Developer Certificate of Origin Version 1.1 and the contributing guide to get started.