Daytona
Secure infrastructure for safely running AI-generated code in milliseconds.
Pricing
About Daytona
Daytona is a cloud infrastructure platform designed specifically for executing AI-generated code safely and efficiently. It provides isolated sandbox environments that can be created in under 90 milliseconds, enabling AI agents to run code without risk to underlying infrastructure. The platform supports multiple programming languages including Python, TypeScript, Ruby, Go, and Java, and is built for developers and AI teams who need reliable, scalable execution environments. The tool is particularly suited for AI development teams, LLM applications, and autonomous agent workflows. Daytona distinguishes itself through lightning-fast sandbox provisioning, stateful operations that persist across parallel runs, and comprehensive security certifications including HIPAA, SOC 2, and GDPR compliance. One limitation is that it requires understanding of sandbox concepts and API integration, making it less accessible for developers seeking fully managed, simplified solutions without infrastructure complexity.
At a glance
- Company
- Daytona Platforms Inc.
- Platforms
- Web, API, SDK
- API
- Available
- Last verified
- June 2026
Who It's For
- •AI teams and developers building autonomous agents
- •Companies deploying LLM-powered applications requiring safe code execution
- •AI infrastructure teams needing scalable, isolated execution environments
- •Developers implementing reinforcement learning and long-horizon planning
- •Organizations requiring enterprise-grade security and compliance standards
How It Works
- 1Creates isolated sandbox environments in sub-90 millisecond timeframes for secure code execution
- 2Provides separated and isolated runtime protection to execute AI-generated code without infrastructure risk
- 3Enables massive parallelization for concurrent AI workflows across multiple sandboxes
- 4Supports environment snapshots that can be saved, restored, and resumed to maintain agent workflow state
- 5Deploys sandboxes across multiple regional data centers for low-latency access (US East, US West, EU Frankfurt, EU London, Asia-South)
How to Use Daytona
- 1Install the Daytona SDK using pip install daytona
- 2Initialize Daytona client and create sandboxes with specific parameters (e.g., language selection)
- 3Execute code within sandboxes using the process.code_run() or process.exec() methods
- 4Access file systems, Git operations, and LSP features through the SDK API
- 5Use SSH access, VS Code browser integration, or web terminal for debugging and direct sandbox access
- 6Deploy computer use sandboxes (Linux, macOS, Windows) for desktop automation tasks
Key Features
- •Sub-90ms sandbox creation from code to execution
- •Environment snapshots for saving, restoring, and resuming workflows
- •Process execution with real-time output streaming in isolated environments
- •File system operations with granular permission controls
- •Native Git integration with secure credential handling
- •Built-in Language Server Protocol (LSP) support for multi-language completion
- •Computer use sandboxes for Linux (Ubuntu), macOS, and Windows desktops
- •SSH access, VS Code browser integration, and web terminal for debugging
- •Docker support including Docker-in-Docker, Dockerfile support, and Docker Compose
- •Volumes for sharing data across sandboxes without breaking isolation
- •Multi-region deployment with low-latency sandboxes
Use Cases
- •Running AI-generated code from LLMs and agents safely without infrastructure risk
- •Scaling AI evaluations across parallel environments with reproducible snapshot states
- •Building coding agents with RESTful API support and stateful operations
- •Desktop automation and computer use workflows with full programmatic control
- •Data analysis and visualization workflows where agents need to execute code and render charts
Pros & Cons
Advantages
- •Industry-leading sandbox provisioning speed (sub-90ms) for executing tens of thousands of parallel environments efficiently
- •Open-source codebase with customer-managed compute in their own cloud, eliminating cross-tenant risk and providing full transparency
- •Comprehensive enterprise compliance with HIPAA, SOC 2, and GDPR certifications out of the box
- •Stateful design enabling indefinite sandbox runtime for persistent agents and long-running tasks
Disadvantages
- •Requires API integration and sandbox architecture understanding, limiting accessibility for developers seeking plug-and-play solutions
- •Pricing model based on compute hours and resources may accumulate costs for continuous or high-volume operations
- •Limited information available about long-term stability and adoption metrics compared to established development platforms
Alternatives
See all Daytona alternatives →- Beam Cloud
- Cerebrium
- GPUX AI
- AWS Lambda
- Google Cloud Run
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Frequently Asked Questions
What is Daytona?
Daytona is a cloud infrastructure platform designed specifically for executing AI-generated code safely and efficiently. It provides isolated sandbox environments that can be created in under 90 milliseconds, enabling AI agents to run code without risk to underlying infrastructure.
How much does Daytona cost?
Daytona is free to use. A free trial is available.
Is Daytona free?
Yes, Daytona offers a free plan you can start with.
What are the best Daytona alternatives?
Popular Daytona alternatives include Beam Cloud, Cerebrium, GPUX AI.
What is Daytona used for?
Daytona is commonly used for Running AI-generated code from LLMs and agents safely without infrastructure risk, Scaling AI evaluations across parallel environments with reproducible snapshot states, Building coding agents with RESTful API support and stateful operations.
Does Daytona have an API?
Yes, Daytona offers an API for developers.
What platforms does Daytona support?
Daytona is available on Web, API, SDK.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.