The best E2B alternatives for AI agents

E2B is the better fit for ephemeral code execution — an agent writing and running a snippet, analysing data, or testing output in a disposable sandbox that starts in milliseconds. Choose 1Claw Cloud Runtimes when the agent is long-lived, needs credentials injected under policy, and should be reachable at a stable HTTPS endpoint. Runtimes require Pro; there is no free runtime allowance.

Pick 1Claw when

• The agent runs continuously and needs a stable address.
• The agent needs credentials, and you want them scoped and audited.
• You want outbound calls made server-side so the runtime never holds keys.

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

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.

As with E2B, the practical split is workspace versus service. Daytona gives an agent somewhere to work. 1Claw gives an agent an identity, a scoped credential set, and an execution path where the credential never enters the container.

Pick Daytona when

• Agents need a development workspace per task.
• Fast provisioning and teardown is the core requirement.
• The work is code-writing rather than a running service.

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.