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microsandboxvsdaytona

pick daytona for managed sandboxes, desktop automation, and a broader language surface. [1] pick microsandbox for an own-kernel runtime that starts locally and embeds in your application.

daytona is a managed sandbox service with language sdks, persistent environments, snapshots, and computer-use workflows. [1] its public repository is active and licensed agpl-3.0. [2] the supportable distinction is not that daytona disappeared. it is that daytona's default sandbox class is a container, while dedicated-kernel vm classes are also available. [1]

microsandbox begins with the boundary on your machine. every local sandbox is a microvm with its own kernel, created through an sdk that runs in your process. there is no account or managed service in the local path.

the decision is managed breadth versus runtime ownership. choose daytona when its hosted service, desktop automation, or language coverage is the fit. choose microsandbox when local execution and programmable host-side policy are part of the product. private beta. access is by request.

microsandbox
local + cloud
daytona
managed sandboxes for agents [1]
hosting model
local runtime · private beta. access is by request.
managed cloud · customer-managed compute available [1]
runs offline
yes, fully local
managed service or customer-managed compute [1]
cold start
320 ms median · microsandbox 0.4.5
no result in the same local harness [1]
raw memory bandwidth
not the lead today
daytona vm leads on raw memory bandwidth today [1]
isolation
microvm with a separate kernel per sandbox
default container class · dedicated-kernel vm classes available [1]
languages
rust · typescript · python · go · cli
python · typescript · ruby · go · java [1]
programming model
embeddable sdk · no service required locally
sdk and api for a managed sandbox service [1]
snapshots
snapshots capture the disk state of a stopped sandbox.
environment snapshots with save, restore, and resume [1]
credentials
credentials are destination-bound. the sandbox works with a placeholder; the real value is substituted host-side into supported intercepted outbound requests, only for destinations on your allow-list. an approved destination still receives the real credential and could reflect or misuse it, so scope your allow-lists accordingly.
standard environment-variable injection [1]
network policy
by default, sandboxes can reach the public internet. private, host-local, link-local, and metadata destinations are blocked. egress can be reduced to an allowlist or disabled entirely. in the cloud, the non-public block cannot be lifted, even by you.
managed outbound-network controls [1]
computer use
headless agent computers
linux, macos, and windows desktop automation [1]
license
apache 2.0
agpl-3.0 public source [2]
pricing
free locally · private beta pricing is published
published usage pricing and free credit [3]

measured release: microsandbox 0.4.5, inferred from benchmark chronology because the raw artifact does not record the binary version; owner confirmation is pending. median of 10 measured runs after 2 warmups; end-to-end wall time from cli invocation to process exit; pre-pulled alpine userspace; bare-metal linux x86_64 on a gcp c3-standard-192-metal host (intel sapphire rapids, ubuntu 24.04, /dev/kvm). microsandbox: 320 ms; docker: 463 ms; firecracker: 808 ms. firecracker used the same alpine userspace and harness; these numbers do not use firecracker's narrower kernel-to-userspace boundary. full harness and raw results.

pick daytona

choose daytona when

  • you want a managed service with persistent sandboxes and snapshots. [1]
  • you need desktop automation across its documented operating systems. [1]
  • you need ruby or java in the supported sdk surface. [1]
  • you want daytona to operate the service or attach customer-managed compute. [1]
pick microsandbox

choose microsandbox when

  • the real runtime must work on a developer laptop without an account.
  • every sandbox should start with a separate guest kernel, not a selectable class.
  • you need destination-bound credentials and a host-enforced network floor.
  • one sdk. one api. local or cloud is a config change, not a rewrite.

01

moving from daytona

the create, execute, inspect, and remove loop maps cleanly to microsandbox. the larger change is operational: a local microsandbox call runs the boundary in your process, while a normal daytona call targets its managed service. [1]

treat desktop automation and live environment restore as explicit dependencies. daytona documents both. [1] microsandbox is headless, and its snapshots capture only the disk state of a stopped sandbox.

read the benchmark harnesssee microsandbox pricing

common questions

is microsandbox a daytona alternative?

yes, when you need programmable sandboxes for generated code. daytona is the managed-service option with desktop workflows. [1] microsandbox is the local-first, embeddable option.

is daytona open source?

yes. daytona's public repository is active and licensed agpl-3.0. [2] it is not archived.

does daytona use containers or vms?

daytona documents a default container class and separate dedicated-kernel vm classes. [1] choose the class deliberately rather than treating every daytona sandbox as the same boundary.

does daytona support computer use?

yes. daytona documents computer-use workflows across linux, macos, and windows. [1] microsandbox is the headless runtime in this comparison.

which runs locally?

microsandbox runs the actual microvm runtime locally with no account. daytona is normally a managed service and also documents customer-managed compute. [1]

run it locally.

put the boundary on your own machine before you choose anything else.

run it locally