Daytona

Daytona provides secure, lightning-fast infrastructure for executing AI-generated code in isolated sandbox environments. Built for AI agents, coding assistants, and development workflows, it enables developers to spin up sandboxes in under 90 milliseconds with complete runtime isolation. The platform supports massive parallelization for concurrent AI workflows and offers programmatic control through Python and TypeScript SDKs.

• Sub-90ms Sandbox Creation enables instant environment provisioning from code to execution, making it ideal for high-volume AI agent workflows and evaluations.
• Isolated Runtime Protection executes untrusted AI-generated code with zero risk to your infrastructure through separated and isolated environments.
• Programmatic Control APIs provide file system operations, Git integration, process execution, and built-in Language Server Protocol (LSP) support for comprehensive sandbox management.
• Environment Snapshots allow saving, restoring, and resuming any agent workflow instantly with reproducible snapshot states for AI evaluations.
• Computer Use Sandboxes offer secure virtual desktops for Linux, Windows, and macOS with full programmatic access for desktop automation.
• Multi-Region Deployment runs sandboxes in regions close to your agents including US East, US West, EU Central, EU West, and Asia-South for low-latency execution.
• Stateful by Design supports long-running tasks and persistent agents with sandboxes that run indefinitely and volumes for shared data access across sandboxes.
• Human-in-the-Loop Access provides SSH access, VS Code browser integration, and web terminal for debugging, oversight, or intervention without breaking autonomy.
• Docker Integration supports Docker images, Dockerfiles, Docker Compose, and Docker-in-Docker for familiar container workflows.
• Enterprise Compliance meets HIPAA, SOC 2, and GDPR standards with single-tenant deployment options and open-source transparency.

To get started, sign up for a free account at app.daytona.io, create an API key from the dashboard, install the SDK via pip or npm, and use the simple API to create sandboxes and execute code. The platform offers $200 in free compute credits with pay-as-you-go pricing based on vCPU, memory, and storage usage.