Documentation · Daytona

Daytona is a secure and elastic infrastructure for running AI-generated code.
Daytona provides full composable computers — sandboxes — 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 AI, agent and reinforcement learning workflows.
Agents and developers interact with sandboxes programmatically using the SDKs, API, and CLI.
Install the Python SDK
Create a sandbox and run code
Install the TypeScript SDK
Create a sandbox and run code
Install the Ruby SDK
Create a sandbox and run code
Create a sandbox and run code
Install the Java SDK
Add the Daytona SDK dependency to your build.gradle.kts:
Add the Daytona SDK dependency to your pom.xml:
Create a sandbox and run code
Create a sandbox and run code
Create a sandbox and run code
Daytona provides core platform resources for managing sandboxes, environments, and storage.
Linux container and virtual machine runtime for running processes, executing code, and Linux-specific tools.
Windows OS runtime in a virtual machine for running Windows applications and tooling.
macOS runtime for automating applications and desktop interactions.
NVIDIA and AMD GPU runtime for CUDA development, 3D and graphics workloads, and other GPU-accelerated compute.
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:
Need help? - Reach support
Latest project updates? - View Changelog
Dotfiles Insider - Read our blog
LLMs - llms.txt & llms-full.txt
© 2026 Daytona Platforms, Inc.