[!IMPORTANT]
This repository is no longer maintained.
As of June 2026, Daytona's core development has moved to a private codebase. This repository will receive no further updates, fixes, or releases.
It remains public and free to use, fork, and build on under the LICENSE, as is and without support or warranty.
Daytona resources are available at github.com/daytona.
Run AI Code.
Secure and Elastic Infrastructure for
Running Your AI-Generated Code.
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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.
Features
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
Architecture
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
Client libraries
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.
Python
pip install daytona
Standalone 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
TypeScript
npm install @daytona/sdk
Standalone packages and libraries for interacting with Daytona using TypeScript:
sdk-typescript • api-client • toolbox-api-client
Ruby
gem install daytona
Standalone packages and libraries for interacting with Daytona using Ruby:
sdk-ruby • api-client-ruby • toolbox-api-client-ruby
Go
go get github.com/daytonaio/daytona/libs/sdk-go
Standalone packages and libraries for interacting with Daytona using Go:
sdk-go • api-client-go • toolbox-api-client-go
Java
Gradle (build.gradle.kts):
dependencies {
implementation("io.daytona:sdk:x.y.z")
}
Maven (pom.xml):
<dependency>
<groupId>io.daytona</groupId>
<artifactId>sdk</artifactId>
<version>x.y.z</version>
</dependency>
Standalone packages and libraries for interacting with Daytona using Java:
sdk-java • api-client-java • toolbox-api-client-java
Quick Start
- Create an account at app.daytona.io
- Generate an API key
- Create a sandbox
Python SDK
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)
Typescript SDK
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);
Ruby SDK
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.result
Go SDK
package 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)
}
Java SDK
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());
}
}
}
API
curl 'https://app.daytona.io/api/sandbox' \
--request POST \
--header 'Authorization: Bearer <YOUR_API_KEY>' \
--header 'Content-Type: application/json' \
--data '{}'
CLI
daytona create
Daytona 是一个安全、弹性的基础设施运行时，用于在隔离的沙箱中运行 AI 生成的代码，智能体和开发者可以通过 SDK、API 和 CLI 使用它。