[ AGENT RUNTIMES ]

The best Fly.io Machines alternatives for AI agents

Agent runtimes differ on isolation, on what the agent can reach from inside, and on how credentials get in without the agent holding them.

[ SHORT ANSWER ]

Fly.io Machines give you more control and better economics for general workloads: global regions, fast-booting microVMs, persistent volumes, and your own networking. Choose 1Claw Cloud Runtimes when you want the agent-specific parts handled — vault-scoped secret injection, credential-free outbound execution, a hosted slug with inbound auth, and an audit trail — rather than assembling them yourself. Runtimes require Pro.

Below: 5 options, each with the cases it is genuinely the better pick for. The first entry is ours — the rest are described by the same criteria we hold ourselves to on the individual comparison pages.

  1. 01

    1Claw

    Fly.io Machines give you more control and better economics for general workloads: global regions, fast-booting microVMs, persistent volumes, and your own networking. Choose 1Claw Cloud Runtimes when you want the agent-specific parts handled — vault-scoped secret injection, credential-free outbound execution, a hosted slug with inbound auth, and an audit trail — rather than assembling them yourself. Runtimes require Pro.

    Pick 1Claw when

    • You want the agent scaffolding — secrets, auth, audit — provided.
    • Outbound calls should be made server-side without credentials in the container.
    • The agent also signs transactions under guardrails.

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

    1Claw vs Fly.io Machines, capability by capability
  2. 02

    E2B

    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.
    How 1Claw compares with E2B
  3. 03

    Modal

    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.
    How 1Claw compares with Modal
  4. 04

    Daytona

    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.
    How 1Claw compares with Daytona
  5. 05

    Vercel Sandbox

    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.
    How 1Claw compares with Vercel Sandbox

Keep 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.

Moving an agent off Fly.io Machines

  1. 1.Keep Fly for workloads where you want machine-level control.
  2. 2.Create a 1Claw runtime for agents that need vault-scoped credentials.
  3. 3.Move outbound API calls to Execution Intents bindings.

[ FREE TIER ] 3 vaults · 50 secrets · 2 agents · 100 signatures/mo

Run the comparison on your own agent

Give one agent one scoped path and watch what it can and cannot read. Free tier, no card.