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Daytona

Open-source dev environment management with AI integration

Daytona is secure, elastic infrastructure for running AI-generated code in isolated sandboxes. It gives agents and developer workflows programmable environments with dedicated kernel, filesystem, network, vCPU, memory, and disk, backed by OCI/Docker compatibility, SDK/API access, and under-90ms sandbox startup. The project has 72,000+ GitHub stars and is AGPL-3.0 licensed.

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About Daytona

Daytona addresses one of the most persistent problems in software development: safe AI-generated code execution. Instead of each developer maintaining their own local setup with different tool versions, dependencies, and configurations, Daytona provisions isolated sandboxes from a single definition file. It supports the devcontainer specification, so existing VS Code dev container configurations work out of the box without modification.

The platform is infrastructure-agnostic — deploy workspaces on any cloud provider, on-premises hardware, or local machines. AI agents interact with Daytona through SDK/API-driven sandboxes for secure code execution and workflow automation. The workspace lifecycle is fully programmable: spin up environments for PR reviews, tear them down after merge, and maintain pre-built images for instant startup times. IDE support spans VS Code, JetBrains suite, and SSH-based terminal workflows.

Daytona is AGPL-3.0 licensed with 72,000+ GitHub stars and growing adoption among engineering teams. The managed Daytona Cloud offering handles infrastructure provisioning for teams that want the benefits without the ops overhead. Compared to GitHub Codespaces (vendor-locked) or Gitpod (commercial focus), Daytona offers the most flexible open-source approach to standardized development environments with full infrastructure choice.

Pricing & Platform Specs

Pricing Summary

Open-source development environment manager ($0 self-hosted with unlimited workspaces on Docker/Kubernetes/Cloud). Daytona Cloud offers a Free tier ($0/mo) for trial environments, Pro tier ($15-$25/dev/mo or usage-based compute) with managed infrastructure, workspace snapshots, and team collaboration, and Enterprise tier with Bring-Your-Own-Cloud (BYOC) / VPC deployment, SAML SSO, SOC 2 compliance, and dedicated SLAs.

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Supported Platforms

Self-hosted (any cloud/on-prem), Daytona Cloud managed

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Alternatives

All Daytona alternatives →
Windmill logo

Windmill

Turn scripts into workflows, UIs, and APIs at scale

Windmill is an open-source workflow engine and developer platform built in Rust that turns scripts in Python, TypeScript, Go, Bash, SQL, and other languages into auto-generated UIs, API endpoints, workflows, data pipelines, AI agents, and scheduled jobs. The project publishes performance benchmarks against Airflow/Prefect/Temporal, supports Docker/Kubernetes self-hosting, and offers paid enterprise features.

freemiumOpen Source
Lume logo

Lume

macOS and Linux VM runtime for AI agents on Apple Silicon

Lume is an open-source CLI for creating and managing macOS and Linux virtual machines on Apple Silicon, built specifically for AI agent sandboxing, CI/CD pipelines, and desktop automation. Using Apple's native Virtualization.Framework for near-native performance, it provides the missing isolation layer for running coding agents safely — so an accidental destructive command doesn't affect your host machine.

freemiumOpen Source

Side-by-Side Comparisons

E2B logo
E2B
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Daytona logo
Daytona

E2B vs Daytona — Ephemeral Code Sandboxes vs Stateful Development Environments for AI

E2B and Daytona provide isolated environments for AI code execution with different persistence models. E2B offers ephemeral Firecracker microVM sandboxes destroyed after use for clean-slate execution. Daytona provides stateful Docker-based workspaces that persist across sessions, treating each environment as a long-lived development workspace rather than a disposable execution unit.

E2BDaytona

Community experience

Sources & verification

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Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is Daytona?

Daytona is secure, elastic infrastructure for running AI-generated code in isolated sandboxes. It gives agents and developer workflows programmable environments with dedicated kernel, filesystem, network, vCPU, memory, and disk, backed by OCI/Docker compatibility, SDK/API access, and under-90ms sandbox startup. The project has 72,000+ GitHub stars and is AGPL-3.0 licensed.

Is Daytona free?

Daytona offers a free tier alongside paid plans. Open-source development environment manager ($0 self-hosted with unlimited workspaces on Docker/Kubernetes/Cloud). Daytona Cloud offers a Free tier ($0/mo) for trial environments, Pro tier ($15-$25/dev/mo or usage-based compute) with managed infrastructure, workspace snapshots, and team collaboration, and Enterprise tier with Bring-Your-Own-Cloud (BYOC) / VPC deployment, SAML SSO, SOC 2 compliance, and dedicated SLAs.

Is Daytona open source?

Yes — Daytona is open source.

Is Daytona still maintained?

Yes — Daytona is active. Its listing was last verified on September 6, 2026.

What are the best Daytona alternatives?

The first editor-selected Daytona alternatives are Windmill, Lume.

How does Daytona score in our review?

The published editorial review lists Daytona at 79/100 overall across speed, privacy, and developer experience. Check the review's evidence status and test metadata for its verification level.