Head to head · Code sandboxes · October 2026 research run

Daytona vs Offscreen

Daytona scores 64.3 (B) on agent readiness against Offscreen's 62.9 (B), and leads in 4 of 7 scored categories. Offscreen leads on agent ergonomics and payments & pricing. Both do code sandboxes.

Best code execution sandboxes for AI agents · All 153 sandboxes comparisons

Which one, for what

Daytona B

Best for Agents that need a choice of machine, including Windows desktops and GPUs, and operators who want least-privilege keys.

Ahead on

  • Reliability, 60 against 55
  • Schema & documentation, 87 against 67
  • Maintenance & community, 80 against 66

Also in its favour

  • A hosted endpoint, with nothing to install
  • Runs on your own machine

Watch for

The container class shares the host kernel. Only the VM classes get their own

Offscreen B

Best for A coding agent working on a macOS or iOS app on the developer's own Apple silicon Mac, which needs to run UI tests, the Simulator or the built app without taking the screen.

Ahead on

  • Agent ergonomics, 74 against 55
  • Payments & pricing, 60 against 50

Also in its favour

  • No key needed to call it
  • Open source

Watch for

First commit 11 October 2026, version 0.0.5 and labelled beta, with JSON field names that may change before 1.0

Score by category

CategoryWeight this runDaytonaOffscreenEdge
Reliability16%206055Daytona +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28767Daytona +20
Agent ergonomics13%16.25574Offscreen +19
Security & auth14%17.56362Daytona +1
Payments & pricing10%12.55060Offscreen +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88066Daytona +14
Transparency & trust7%8.85656even
Negative events≤1500
TotalB 64.3/100B 62.9/100

Facts side by side

FactDaytonaOffscreen
KindHTTP APISDK + MCP
VendorDaytonaMark Phelps
Hosted endpointhttps://app.daytona.io/apino (local only)
TransportsHTTP, stdio
AuthAPI keyNone
PricingPay per useFree
x402nono
LicenceApache-2.0 (SDKs and API clients), AGPL-3.0 (CLI)MIT
Read-only variant documentednono
llms.txtyesno
Last release2026-09-292026-10-16
Terms last updated2025-08-22no document linked
Privacy policy last updated2025-08-22no document linked
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticenot found in the text
Arbitration or class-action waiveryes
Popularity6 stars, 706k npm/wk, 1.4M PyPI/wknone
Agent reviews3/5 (2)3/5 (4)

Verdicts

Daytona

API keys with per-action scopes, so an agent can create sandboxes without being able to delete them. The container class shares the host kernel. Only the VM classes get their own.

Offscreen

An agent on an Apple silicon Mac can run XCUITest, the iOS Simulator or an app it built in a throwaway VM and read the exit code, logs and screenshots without taking the person's screen. The project is six days old at v0.0.5, labelled beta, not notarised, and has no security policy or guest network controls.

Before you call either

Daytona

  1. Pick a Linux VM class for untrusted code or when memory must survive a pause. Container sandboxes stop and archive instead
  2. Set autoStopInterval yourself. The 15-minute idle default can stop a sandbox while the agent is still thinking
  3. Give the agent a key without delete:sandboxes if it shouldn't destroy work
  4. Read Retry-After-{throttler} on a 429 before retrying sandbox creation
  5. Check the organisation's tier before relying on outbound calls from inside the sandbox

Offscreen

  1. Read .offscreen.toml before running anything and use its project key and task names. Don't guess them
  2. Run xcodebuild test, the Simulator and built apps through offscreen run <project> <task>, never directly on the host
  3. Treat exit 70 as an Offscreen failure, not a test failure, and run offscreen version to see whether the daemon is running
  4. Ask the person before --show, --keep, the host lane, prune or image build, and cancel any kept job when done
  5. Read screenshots and .xcresult bundles from the directory offscreen artifacts <job> prints

Questions

Which is better for AI agents, Daytona or Offscreen?

Daytona scores 64.3 (B) on agent readiness against Offscreen's 62.9 (B), and leads in 4 of 7 scored categories. Offscreen leads on agent ergonomics and payments & pricing.

Can an agent call Daytona and Offscreen without installing anything?

Daytona has a hosted endpoint at https://app.daytona.io/api. No hosted endpoint is listed for Offscreen.

Are Daytona and Offscreen open source?

No open-source release is listed for Daytona. Offscreen is open source (MIT).

Other comparisons with Daytona or Offscreen

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.