Daytona

Daytona provides secure sandbox infrastructure for AI-generated code, with stateful environments, SDKs, APIs, and CLI access for agent and developer workflows.

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Overview

Daytona is a secure infrastructure platform for running AI-generated code in isolated sandboxes. It is positioned for agent and developer workflows that need controlled execution, stateful operations, and repeatable environments instead of local machine access.

The docs describe Daytona sandboxes as full composable computers with a dedicated kernel, filesystem, network stack, and allocated vCPU, RAM, and disk. The platform supports programmatic control through SDKs, a RESTful API, and a CLI, and it is built for persistent agent workflows that can span sessions.

Core capabilities

Fast sandbox provisioning

Create sandboxes quickly for AI-generated code, with the homepage and docs both describing sub-90ms creation from code to execution.

Isolated process execution

Run code and shell commands inside isolated environments with real-time output streaming and process execution controls.

Filesystem management

Manage sandbox files with full CRUD operations and granular permission controls, backed by filesystem operations in the SDK and API.

Git integration

Use native Git operations with secure credential handling when workflows need repositories or source control access.

Built-in LSP support

Access language server features for multi-language completion and real-time analysis through built-in LSP support.

SDK, API, and CLI access

Work programmatically through Python, TypeScript, Ruby, Go, and Java SDKs, plus RESTful API and CLI access.

Common workflows

Run AI-generated code safely
Use Daytona to run code produced by agents in isolated environments so the developer machine and primary workspace stay separate from execution.
Build stateful agent workflows
Use parallel sandboxes, snapshots, and persistent state for agent loops that need repeatable outputs across multiple runs or sessions.
Integrate sandbox control into applications
Use the SDKs or APIs to automate sandbox creation, process execution, file operations, and cleanup in application code.
Run AI evaluations and experiments
Use the platform for evaluation runs, where reproducible snapshot states and parallel environments help compare outcomes across repeated tests.
Support coding assistants and development automation
Use sandboxed runtime access with LSP, Git, and real-time output for coding-assistant workflows that need source control and interactive feedback.

Pros and Cons

Pros

Provides isolated sandboxes for AI-generated code instead of running untrusted code on the developer’s local machine.
Supports stateful operations and environment snapshots for repeatable agent workflows across sessions.
Offers multiple ways to interact with the platform, including SDKs, RESTful APIs, and a CLI.
Includes practical runtime controls such as process execution, filesystem operations, and Git handling.
Pricing information is clearly published, including usage-based rates, a free trial, and startup credits.

Cons

The public sources are lighter on third-party integrations beyond Git, SDKs, API, and CLI access.
The documentation supports Python, TypeScript, JavaScript, Ruby, Go, and Java, but not a broader language list in the supplied evidence.

FAQ

What is Daytona used for?

Daytona provides secure infrastructure for running AI-generated code in isolated sandboxes. The docs describe it as a platform for managing sandboxes programmatically through SDKs, an API, and a CLI.

Which languages and interfaces does Daytona support?

The documentation says Daytona SDKs are available for Python, TypeScript, Ruby, Go, and Java. The docs also mention a CLI for Mac/Linux and Windows, plus RESTful API and Toolbox API access.

How fast is sandbox creation and does Daytona keep state?

Daytona sandboxes are described as spinning up in under 90ms from code to execution, with stateful environment snapshots and persistence across sessions.

How is Daytona priced?

The pricing page shows usage-based pricing for compute, GPU, memory, storage, and Windows, with a free trial and $200 in free compute included. It also notes startup credits and enterprise options such as larger limits, SSO, audit logs, or BYOC.

What isolation and runtime features does Daytona provide?

The documentation states that sandboxes provide complete isolation, a dedicated kernel, filesystem, network stack, and allocated vCPU, RAM, and disk. The rendered docs also say Daytona runs any code in Python, TypeScript, and JavaScript, and supports OCI/Docker compatibility.