Daytona is secure sandbox infrastructure built for the agent era: isolated environments that spin up in under 90ms so AI agents can execute generated code safely and at scale.
Every AI agent that writes code needs somewhere to run it — and letting a model execute untrusted output on your own infrastructure is a security incident waiting to happen. Daytona solves the problem with programmatic sandboxes: isolated Linux containers or VMs provisioned via SDK in Python, TypeScript, Ruby, Go and Java, with sub-90ms creation times and real-time streaming output. Massive parallelization means hundreds of concurrent agent workflows can each get their own environment.
The sandbox runtime goes beyond plain code execution. A declarative image builder creates snapshots through the SDK without registries or uploads; Git integration, LSP support, file system operations and Docker-in-Docker turn sandboxes into real development environments; and Computer Use sandboxes provide secure virtual desktops on Linux, Windows and macOS that agents can control with code for desktop automation and testing. Security is the design constraint, not an afterthought: secrets are injected at network egress so plaintext credentials never live in the sandbox, sandboxes can run on customer-managed compute with no shared cross-tenant risk, and the platform ships HIPAA, SOC 2 and GDPR compliance out of the box. Daytona also remains self-hostable for teams that need the whole control plane inside their own cloud.
Daytona ships $200 of free compute credit on the managed cloud, then charges pay-per-use with no subscription floor: $0.0504 per vCPU-hour and $0.0162 per GiB-hour, billed per second on wall-clock while sandboxes run. Self-hosting on your own infrastructure is available for teams with compliance or cost constraints; enterprise agreements cover dedicated support and compliance reviews.
Teams building AI agents, code-interpreters and eval pipelines that need safe, programmatic execution of generated code. Note the billing model: since idle waiting time is metered, idle-heavy agent loops cost more than on active-CPU alternatives.