Daytona

Daytona provides isolated sandbox infrastructure specifically built for AI agents and coding tools that need to execute untrusted, AI-generated code. Each sandbox spins up in under 90ms and runs in a fully isolated environment, so code execution never touches your host infrastructure. It's built for teams running AI agents at scale, where thousands of sandboxes may be created and torn down in parallel.

Compared to tools like E2B or Together Sandbox, Daytona's key differentiator is its stateful design. Sandboxes run indefinitely and support environment snapshots, so long-running agent workflows can be paused, saved, and resumed without losing state. Shared volumes let multiple sandboxes access the same data without breaking isolation.

The programmatic API covers everything an agent needs at runtime:

• Process execution with real-time output streaming and configurable timeouts
• File system operations with full CRUD and granular permission controls
• Git integration with native operations and secure credential handling
• Built-in LSP support for multi-language code completion and real-time analysis
• Computer use sandboxes providing isolated Linux, macOS, and Windows desktops with full programmatic control
• Docker support including Docker-in-Docker, Dockerfile, and Docker Compose, so existing images work without modification

Sandboxes can be deployed in multiple regions (US, EU, Asia) to keep latency low relative to where your agents run. For debugging or oversight, SSH access, a browser-based VS Code instance, and a web terminal are available without additional setup.

Security is handled through customer-managed compute. Sandboxes run on isolated, customer-controlled infrastructure in your cloud or on-premises. Daytona operates the control plane only, with no shared compute across tenants. The platform meets HIPAA, SOC 2, and GDPR standards, and the codebase is open source for full auditability.

Pricing is pay-as-you-go, billed per second for compute, memory, and storage, with GPU options including Nvidia H100 for workloads like reinforcement learning or data analysis.