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Daytona

Daytona is an open-source, container-isolated sandbox for AI agents with sub-90ms creation, persistent stateful workspaces, mid-execution snapshots and optional H100 GPUs.

Last verified 2026-07-26

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Daytona pivoted from cloud dev environments to AI-agent infrastructure in early 2025 and is the open-source champion of the category (70K+ GitHub stars, $24M Series A). It uses Docker-container isolation, persistent Running/Stopped/Archived workspace lifecycles, mid-execution snapshots, Computer Use, and GPU access.

Key specs

IsolationDocker container
Cold start90ms
Price / vCPU-hr$0.05
Pricing modelUsage-based
GPUH100 ~$3.95/hr
Session limitPersistent (lifecycle-managed)
PersistencePersistent workspaces, snapshots
LanguagesPython, JavaScript/TypeScript, any
MCP supportYes
IntegrationsOpenAI Agents SDK, LangChain
DeploymentManaged cloud + open source
Free tierFree credits
GitHub stars70K+
Funding$24M Series A

Strengths

  • Open source (70K+ stars)
  • Sub-90ms creation
  • Persistent workspaces
  • GPU available

Trade-offs

  • Container isolation is weaker than microVM
  • Younger managed cloud

Best for: Teams that want open source, persistent stateful workspaces, and GPU access.

Head-to-head

Daytona vs E2B →Daytona vs Modal →Daytona vs Blaxel →

Alternatives to Daytona

E2B — AI code-execution sandboxModal — AI code-execution sandboxVercel Sandbox — AI code-execution sandboxCloudflare Sandbox SDK — AI code-execution sandbox

Sources: Daytona docs ↗ · Daytona pricing ↗

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