Daytona Documentation
Start managing your sandboxes with Daytona.
Daytona is secure and elastic cloud infrastructure built for autonomous agents.
Daytona provides composable computers for agents — 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, massive parallelization, and unlimited persistence, sandboxes deliver consistent, predictable environments for AI, autonomous agents, and reinforcement learning.
Get started
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Create an account → app.daytona.com
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Get an API key → app.daytona.com/dashboard/keys
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Save the API key →
DAYTONA_API_KEYenvironment variable or in a.envfile.DAYTONA_API_KEY=YOUR_API_KEY
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Install the Python SDK
pip install daytona -
Create a sandbox and run code
from daytona import Daytona daytona = Daytona() sandbox = daytona.v2.create() response = sandbox.run_code('print("Hello World")') print(response.logs.stdout)
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, Windows, GPU, macOS
- Daytona SDKs: TypeScript, Python
- Daytona APIs: Platform (OpenAPI), Toolbox (OpenAPI)
- Daytona CLI: Mac/Linux/Windows
- Daytona LLMs: llms.txt, llms-full.txt
- Daytona Markdown: suffix pages with .md (e.g sandboxes.md)