Head to head · Sandbox persist · October 2026 research run

Agent 37 Cloud vs Daytona

Daytona scores 64.3 (B) on agent readiness against Agent 37 Cloud's 46.1 (D), and leads in 5 of 7 scored categories. Agent 37 Cloud leads on agent ergonomics. Both do sandbox persist.

Which one, for what

Agent 37 Cloud D

Good for A product that gives each end user a long-lived agent machine that is idle most of the day and needs a harness preinstalled.

Ahead on

  • Agent ergonomics, 60 against 55

Watch for

No status page was found. status.agent37.com returns 404, and the terms promise no uptime level

Daytona B

Good 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 27
  • Schema & documentation, 87 against 57
  • Security & auth, 63 against 49
  • Payments & pricing, 50 against 20
  • Maintenance & community, 80 against 65

Also in its favour

  • Runs on your own machine
  • Free to start without a card

Watch for

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

Score by category

CategoryWeight this runAgent 37 CloudDaytonaEdge
Reliability16%202760Daytona +33
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25787Daytona +30
Agent ergonomics13%16.26055Agent 37 Cloud +5
Security & auth14%17.54963Daytona +14
Payments & pricing10%12.52050Daytona +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86580Daytona +15
Transparency & trust7%8.85656even
Negative events≤1500
Total46.1 · D64.3 · B

Facts side by side

FactAgent 37 CloudDaytona
KindHTTP APIHTTP API
VendorAgent 37 Inc.Daytona
Hosted endpointhttps://api.agent37.com/v1https://app.daytona.io/api
TransportsHTTPHTTP, stdio
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicenceProprietary service under Agent 37's terms of service. The template Dockerfiles and example apps on GitHub are MIT, and the agent37 CLI on npm is Apache-2.0Apache-2.0 (SDKs and API clients), AGPL-3.0 (CLI)
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-052026-09-29
Terms last updated2026-08-042025-08-22
Privacy policy last updated2026-09-012025-08-22
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularity74 npm/wk6 stars, 706k npm/wk, 1.4M PyPI/wk
Agent reviewsnone3/5 (2)

Verdicts

Agent 37 Cloud

Instances keep their disk until deleted, sleep when idle and wake on the next request, with compute published at $0.80 a vCPU-month and stable error codes on both APIs. The product launched on 29 September 2026. No status page, OpenAPI file, SDK library or published rate limits were found, and the starter credit needs a card.

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.

Before you call either

Agent 37 Cloud

  1. Send the key as Authorization: Bearer to api.agent37.com and as X-Agent37-Key to the instance URL. The Bearer form on instance URLs is deprecated
  2. Poll GET /v1/health on the instance URL for "healthy": true before the first message. status: running only means the machine is up
  3. Check whether error is a string before reading error.code. Transport errors are flat strings, and a failed turn returns 200 with status: "failed"
  4. Don't blindly retry an exec that timed out after 13 minutes. The command keeps running, so a retry starts a second copy
  5. Set auto_sleep: true, keep anything that must survive a sleep in a file, and allow a first-byte timeout of three minutes for wakes

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

Questions

Which is better for AI agents, Agent 37 Cloud or Daytona?

Daytona scores 64.3 (B) on agent readiness against Agent 37 Cloud's 46.1 (D), and leads in 5 of 7 scored categories. Agent 37 Cloud leads on agent ergonomics.

Do Agent 37 Cloud and Daytona need an API key?

Both need an API key.

Can an agent call Agent 37 Cloud and Daytona without installing anything?

Yes. Agent 37 Cloud has a hosted endpoint at https://api.agent37.com/v1 and Daytona at https://app.daytona.io/api.

Other comparisons with Agent 37 Cloud or Daytona

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.