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daytonaio/daytona

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

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  Run AI Code. Secure and Elastic Infrastructure for Running Your AI-Generated Code.   Daytona is a secure and elastic infrastructure runtime for AI-generated code execution and agent workflows. Our open-source platform provides sandboxes, full composable computers with complete isolation, a dedicated kernel, filesystem, network stack, and allocated vCPU, RAM, and disk. Sandboxes are the core component of the Daytona platform, spinning up in under 90ms from code to execution and running any code in Python, TypeScript, and JavaScript. Built on OCI/Docker compatibility, massive parallelization, and unlimited persistence, sandboxes deliver consistent, predictable environments for agent workflows. Agents and developers interact with sandboxes programmatically using the Daytona SDKs, API, and CLI. Operations span sandbox lifecycle management, filesystem operations, process and code execution, and runtime configuration through base images, packages, and tooling. Our stateful environment snapshots enable persistent agent operations across sessions, making Daytona the ideal foundation for AI agent architectures. Daytona…

daytonaio/daytona on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-30T15:38:00.552Z

Inside the original README — Document outline
  1. Features
  2. Architecture
  3. Client libraries
  4. Python
  5. TypeScript
  6. Ruby
  7. Go
  8. Java
  9. Quick Start
  10. Python SDK
  11. Typescript SDK
  12. Ruby SDK

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What this repository does

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

Repository facts

Owner
daytonaio
Primary language
Not reported
Stars
71,675
Forks
5,649
Open issues + pull requests
458
License
Not reported — inspect the license file
Archived
No
Default branch
main
Created
2024-02-06T08:21:20.000Z
Last push
2026-07-24T07:12:07.000Z

Topics and intended use

Owner-supplied topics: agentic-workflow, ai, ai-agents, ai-runtime, ai-sandboxes, code-execution, code-interpreter, developer-tools

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Source: GitHub. Metadata observed 2026-10-03T12:07:37.691Z. Daily imports are snapshots, not real-time monitoring.

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