Run AI Code. Secure and Elastic Infrastructure for Running Your AI-Generated Code.
Created 3 months ago
Run AI Code. Secure and Elastic Infrastructure for Running Your AI-Generated Code.
development
documentation
public
AI
infrastructure
What is Run AI Code. Secure and Elastic Infrastructure for Running Your AI-Generated Code.?
Daytona provides lightning-fast infrastructure for creating and executing AI-generated code in isolated sandboxes, ensuring zero risk to your infrastructure. It supports massive parallelization for concurrent workflows and offers programmatic control through various APIs.
Documentation
Installation# Python SDK
pip install daytona
TypeScript SDK
npm install @daytonaio/sdk
Features
- Lightning-Fast Infrastructure: Sub-90ms Sandbox creation from code to execution.
- Separated & Isolated Runtime: Execute AI-generated code with zero risk to your infrastructure.
- Massive Parallelization for Concurrent AI Workflows: Fork Sandbox filesystem and memory state (Coming soon!)
- Programmatic Control: File, Git, LSP, and Execute API
- Unlimited Persistence: Your Sandboxes can live forever
- OCI/Docker Compatibility: Use any OCI/Docker image to create a Sandbox
Quick Start
- Create an account at https://app.daytona.io
- Generate a new API key
- Follow the Getting Started docs to start using the Daytona SDK
Creating your first Sandbox# Python SDK
from daytona import Daytona, DaytonaConfig, CreateSandboxParams
# Initialize the Daytona client
daytona = Daytona(DaytonaConfig(api_key="YOUR_API_KEY"))
# Create the Sandbox instance
sandbox = daytona.create(CreateSandboxParams(language="python"))
# Run code securely inside the Sandbox
response = sandbox.process.code_run('print("Sum of 3 and 4 is " + str(3 + 4))')
if response.exit_code != 0:
print(f"Error running code: {response.exit_code} {response.result}")
else:
print(response.result)
# Clean up the Sandbox
daytona.remove(sandbox)
Typescript SDK
import { Daytona } from '@daytonaio/sdk'
async function main() {
// Initialize the Daytona client
const daytona = new Daytona({
apiKey: 'YOUR_API_KEY',
})
let sandbox
try {
// Create the Sandbox instance
sandbox = await daytona.create({
language: 'python',
})
// Run code securely inside the Sandbox
const response = await sandbox.process.codeRun('print("Sum of 3 and 4 is " + str(3 + 4))')
if (response.exitCode !== 0) {
console.error('Error running code:', response.exitCode, response.result)
} else {
console.log(response.result)
}
} catch (error) {
console.error('Sandbox flow error:', error)
} finally {
if (sandbox) await daytona.remove(sandbox)
}
}
main().catch(console.error)
Contributing
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 (https://developercertificate.org/). Afterwards, navigate to the contributing guide to get started.
Server Config
{
"mcpServers": {
"run-ai-code.-secure-and-elastic-infrastructure-for-running-your-ai-generated-code.-server": {
"command": "npx",
"args": [
"run-ai-code.-secure-and-elastic-infrastructure-for-running-your-ai-generated-code."
]
}
}
}
Links & Status
Project Info
Hosted
Featured
Created At:
Aug 06, 2025
Updated At:
Aug 07, 2025
Author:
Daytona Contributors
Category:
AI Infrastructure
License:
GNU AFFERO GENERAL PUBLIC LICENSE
Tags:
development
documentation
public