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DigitalFrontier Flow SandboxPreview

Per-tenant microVM workspaces, created and destroyed around your code

Give any workflow an isolated, per-tenant workspace to run untrusted or AI-generated code — a userspace-kernel sandbox by default or an optional microVM tier with its own kernel — created, injected, and thrown away around your workflow body.

agent.py
python
# The workspace is created, injected, and destroyed around the workflow body.
@app.workflow(workspace={"repo_url": "…", "auto_destroy": True})
async def agent(task, services=None):
    ws = services["workspace"]
    # run untrusted / agent-generated code inside the isolated workspace
    return await ws.run(task)

DigitalFrontier Flow Sandbox features

Ephemeral, per-tenant workspaces

Give a workflow an isolated, per-tenant workspace to run untrusted or AI-generated code, then throw it away — created, injected as a service, and destroyed around your workflow body by a single decorator.

Choose your isolation tier

Each workspace gets its own isolation — a userspace-kernel sandbox by default, or an optional microVM tier that gives it a separate kernel — with CPU, memory, PID and disk limits applied per workspace.

Locked-down workspace egress

On a self-hosted cluster, a workspace's outbound traffic is forced through a per-workspace proxy with a domain allow-list, and the network is severed at the install→run boundary so build-time access can't leak into execution.

Thread-persistent agent workspaces

Keep a workspace alive across a conversation: follow-up messages reuse the same sandbox with its cloned repo and state intact, torn down only on a terminal outcome or timeout — built for coding agents.

Get early access to Flow Sandbox.

Tell us about your workload and we'll get you into the preview.