---
slug: "daytona"
name: "Daytona"
effect: "Runs AI-generated code in hosted sandboxes with their own kernel, filesystem and network stack"
category: "sandbox"
url: "https://www.daytona.io"
github: null
pricing: "paid"
license: "Hosted service; SDKs Apache-2.0 and CLI AGPL-3.0 (daytona/clients)"
tags: ["code-execution", "cloud", "python", "typescript", "snapshots", "computer-use"]
platforms: []
install_kind: "pip"
date_added: "2026-10-14"
drop_score: 43
stars: null
pushed_at: null
signals_status: "missing"
signals_fetched_at: null
page: "https://agenttooldrop.com/tools/daytona"
---

# Daytona

Runs AI-generated code in hosted sandboxes with their own kernel, filesystem and network stack

Category: Sandboxes. Pricing: Paid. License: Hosted service; SDKs Apache-2.0 and CLI AGPL-3.0 (daytona/clients).

## Why you would want it

Daytona sandboxes are full computers with a dedicated kernel, filesystem, network stack and allocated vCPU, RAM and disk, which agents create and control through SDKs for TypeScript, Python, Ruby, Go and Java, an API and a CLI. Operations cover sandbox lifecycle, file system, process and code execution and git, and stateful snapshots let agent work persist across sessions. The docs also cover computer use, an MCP server, and SSH, VNC and web terminal access, and the pricing page lists GPU options.

## Best for

- Agents that need sandboxes that persist across sessions
- SDK users in Ruby, Go or Java as well as Python and TypeScript
- Sandboxed workloads that need GPUs

## Use it when

You want hosted, isolated machines for agent code execution and prefer usage-based billing to running the infrastructure yourself.

## Skip it if

You need to self-host or audit the platform source: core development moved to a private codebase and the public repo is archived. Billing is pay as you go per vCPU, memory and storage hour.

## Editor note

The open-source daytonaio/daytona repo was archived in June 2026; official SDKs, CLI and MCP tools now live in daytona/clients.

## Install

Install the Python SDK:

```sh
pip install daytona
```

Source: https://www.daytona.io/docs/

## Live signals

No public repository, so no GitHub signals.

## Links

- Website: https://www.daytona.io
- Install instructions verified at: https://www.daytona.io/docs/
- Source for this entry: https://www.daytona.io/docs/
- AgentToolDrop page: https://agenttooldrop.com/tools/daytona
- Full catalog (JSON): https://agenttooldrop.com/tools.json