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Daytona

Daytona

Secure, sub-90ms cloud sandboxes for running AI-generated and untrusted code at scale.

softwareCloud Platformsai-agentssandboxescode-execution
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Our Verdict

Best for

Teams building AI coding agents or code-interpreter features that need fast, disposable sandboxes.

Skip if

You just need a normal cloud dev environment for human developers, not agent-driven code execution.

What is Daytona?

Daytona provides on-demand, isolated sandbox environments purpose-built for executing AI-generated and otherwise untrusted code. Environments spin up in under 90 milliseconds, which makes it practical for AI coding agents and code-interpreter products to create a fresh, disposable sandbox for every task instead of sharing a persistent container. Each sandbox includes file system access, process execution with streaming output, Git integration, LSP support, and optional Docker-in-Docker, and can be snapshotted for reproducible agent workflows. Daytona targets teams building AI agents, coding assistants, and code-interpreter features who need safe, fast, multi-region compute without standing up their own container orchestration.

SpecificationsAI-estimated

deploymentCloud/SaaS
open source❌ No
api available✅ Yes
key integrationsGitHub, VS Code, Docker

Key Features of Daytona

Sandbox environments provision in under 90 milliseconds, enabling per-task disposable environments for AI agents.
Process execution streams real-time stdout/stderr back to the calling application or agent.
File system operations expose granular read/write permissions inside each sandbox.
Environment snapshots let teams capture and replay a sandbox's exact state for reproducible agent runs.
Docker, Docker Compose, and Docker-in-Docker are supported for workloads that need nested containers.
Computer-use sandboxes support Linux, macOS, and Windows targets for agent-driven UI automation.
Secrets stay outside the sandbox runtime, reducing exposure if a sandbox is compromised.
Multi-region deployment across the US, EU, and Asia keeps sandbox latency low for global applications.

Use Cases for Daytona

1

AI coding agent execution

Give an AI coding agent a disposable, isolated sandbox to run and test generated code without risking the host system.

2

Code interpreter features

Power a 'run this code' feature in a product by executing arbitrary user or LLM-submitted code safely.

3

CI-adjacent ephemeral testing

Spin up short-lived environments to validate generated patches or scripts before merging.

4

Computer-use agent testing

Run agents that interact with a full desktop environment across Linux, macOS, or Windows sandboxes.

Pros & Cons of Daytona

Pros

  • Extremely fast sandbox startup compared to spinning up your own containers
  • Purpose-built for the AI-agent code execution use case
  • Granular per-second usage billing avoids paying for idle capacity
  • Multi-region deployment options

Cons

  • Pay-as-you-go pricing can be hard to predict for high-volume workloads
  • Primarily useful if you're building an AI agent or code-interpreter product, less relevant otherwise
  • No flat monthly plan for teams that prefer predictable billing

Frequently Asked Questions

How fast do Daytona sandboxes start?

Daytona advertises sandbox creation times under 90 milliseconds, designed for per-task ephemeral use.

Is there a free tier?

New accounts get $200 in free compute credit with no credit card required to start.

Can I run Docker inside a Daytona sandbox?

Yes, Daytona supports Dockerfile, Docker Compose, and Docker-in-Docker workloads inside sandboxes.

Does Daytona support access via SSH or VS Code?

Yes, sandboxes can be accessed via SSH, a browser-based VS Code integration, or a web terminal.

Pricing Overview

View full pricing →
Freemium

Free

$200 credit

Pay As You Go

From $0.0504/vCPU-hr

Enterprise

Custom

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About the Product

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Platforms
WebLinux
Target AudienceTeams building AI coding agents and code-interpreter products

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