The best Daytona alternatives for AI agents

Daytona is the better fit for provisioning isolated development environments quickly — agents that need a workspace to write and run code, with fast provisioning and clean teardown. Choose 1Claw Cloud Runtimes when the agent is a long-lived service whose credentials, outbound calls, and signing need to be governed. Runtimes require Pro.

Pick 1Claw when

• The agent is a persistent service with an identity.
• Credentials need to be scoped, injected, and audited.
• Outbound calls should happen server-side without the credential.

Tier note: The capability this list is about starts on Pro ($29/mo). See pricing.

The categories are adjacent but not the same. E2B optimises for cold-start latency and disposability. 1Claw optimises for a persistent agent with an identity: secrets resolved from the vault at start, Execution Intents for outbound calls so credentials stay server-side, idle auto-start, and a hosted slug under run.1claw.co with inbound auth.

Pick E2B when

• The workload is short-lived code execution and cold start dominates.
• You want a disposable sandbox per request with no persistent identity.
• You are building a code interpreter and need that specific shape.

If your agent needs a GPU or heavy compute, use Modal and point it at 1Claw for credentials over the API. The two compose cleanly — 1Claw's value is not the container, it is what the container is allowed to do.

Pick Modal when

• You need GPUs or serious compute — 1Claw is not a compute platform.
• Python-first ergonomics and fast iteration matter most.
• The workload is batch or scheduled rather than a persistent agent.

Running an agent on Fly is entirely reasonable, and if you do, use the 1Claw SDK inside it for credentials. The runtime product exists for teams that would otherwise build secret injection, an inbound auth layer, idle management, and audit from scratch.

Pick Fly.io Machines when

• You want control over regions, networking, and volumes.
• Cost per compute hour at scale is the deciding factor.
• You are comfortable building secret injection and auth yourself.

The two solve opposite halves of the same worry. Vercel Sandbox contains what generated code can do to your infrastructure. 1Claw contains what an agent can do with your credentials and funds. A product that generates and runs code on behalf of users plausibly needs both.

Pick Vercel Sandbox when

• You are running AI-generated or user-supplied code and need isolation.
• Your app is on Vercel and you want the native path.
• The execution is ephemeral with nothing to persist.