daytona
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Running AI-generated code in secure, elastic sandboxes.
You just need local execution without isolation requirements.
About daytona
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 is an open-source project, with 72k stars on GitHub. It was last updated in June 2026.
pip install daytonadaytona vs. the alternatives
All agent infrastructure →| Agent | Stars | Pricing | ||
|---|---|---|---|---|
| daytona | 72k | — | — | Open source |
| mem0 | 60k | Python | Apache-2.0 | Open source |
| cua | 19k | HTML | MIT | Open source |
| gateway | 12k | TypeScript | MIT | Open source |
| steel-browser | 7.3k | TypeScript | Apache-2.0 | Open source |
| Bindu | 7.2k | Python | — | Open source |
