Daytona

Secure sandbox infrastructure to run AI-generated code fast and safely.

Verified API available Works with Make · n8n ~1.3k monthly visits
Quick facts
What is it Secure sandbox infrastructure to run AI-generated code fast and safely.
Pricing Paid
Free tier Yes
Platform Web Application
API Yes
Works with Make, n8n
Best for running AI-generated code securely in production, scaling AI agent evaluations across parallel sandboxes
Domain registered 2016

Data updated Aug. 1, 2026

What does Daytona do?

Daytona is a secure sandbox infrastructure purpose-built for running code that AI models generate. Instead of letting AI agents execute code directly on your machine or production servers — with all the risk that entails — you spin up isolated environments (called sandboxes) via a simple Python SDK or REST API. These sandboxes appear in under 90 milliseconds, making them practical for real-time agent workflows. Inside each sandbox, you can run commands, execute scripts, create and edit files, clone Git repos, and even get language server completions — all programmatically.

The core idea is simple: give your AI agent a safe place to run code. Daytona handles the isolation and security, so you don't have to. Sandboxes are lightweight, stateless by default but can be configured for stateful sessions. The platform supports multiple programming languages out of the box — Python, TypeScript, Ruby, Go, and Java — and streams output in real time. You can run many sandboxes in parallel, which is handy for tasks like large-scale evaluations or concurrent agent loops. The built-in Git integration and LSP support mean agents can work with codebases almost like a human developer would, but with full programmatic control.

Daytona is primarily for developers who build AI agents, coding assistants, or systems that need to execute untrusted code safely. It's used by companies like LangChain, Turing, and Mastra for exactly this purpose. Practical use cases include running AI evaluations across thousands of test cases simultaneously, giving agents the ability to write and execute code to answer questions, and building internal tools where users can run code snippets without exposing your infrastructure. If your AI tool needs to run code — and you want it done securely and at scale — Daytona is worth a look.

#agent infrastructure#ai-code-execution#api#code interpreter#developer tools#isolated-environments#python sdk#sandbox

Key features

What makes it stand out
01
Create sandboxes in under 90ms for near-instant code execution
02
Run untrusted AI code in isolated environments with zero infrastructure risk
03
Execute code in parallel across many sandboxes with real-time output streaming
04
Manage files, Git repos, and language servers programmatically via API
05
Supports Python, TypeScript, Ruby, Go, and Java languages

Who is Daytona for?

Who benefits most from this tool
running AI-generated code securely in production
scaling AI agent evaluations across parallel sandboxes
building code interpreter features into AI applications

Pricing

Free tier available — start without a credit card

Pay-as-You-Go

Custom
  • 0.0504 vCPU per hour
  • 0.0162 memory per GiB per hour
  • 3.95 GPU Nvidia H100 per hour
  • 0.000108 storage per GiB per hour
  • 0.0858 Windows per vCPU per hour
  • 3.03 GPU Nvidia RTX PRO 6000 per hour
  • Per-second & per-hour billing
  • GPU (H100, RTX PRO 6000)
  • Windows OS support
  • Volume discounts as you scale

Trust & presence

Domain Domain registered 2016

Gallery

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