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IronClaw vs Daytona

Daytona provides fast, ephemeral sandboxes for running AI-generated and agent code, with a focus on quick spin-up and a clean API for executing untrusted code. It targets a real need: developers and agent builders who want a sandbox in milliseconds without wiring one up themselves. IronClaw targets an adjacent but distinct job. It is a security-first, self-hosted agent runtime whose whole design point is a containment boundary you can inspect and prove, not just a place to run code quickly.

We describe the common fast-sandbox pattern here and do not assert the specifics of any named platform. Daytona documents its own isolation and hosting model, so verify those against Daytona's docs. This page is about matching the tool to what you are optimizing for: spin-up speed and developer ergonomics, or a verifiable boundary around a hostile agent.

The trade, honestly

Axis Daytona (fast sandboxes) IronClaw (security-first runtime)
Primary optimization Sandbox spin-up speed and DX Verifiable containment of a compromised agent
Hosting model Cloud, verify self-host options in their docs Self-hosted, on infrastructure you own
Where provider keys live Commonly passed into the execution environment Host-side on your box, never inside the sandbox
Isolation you can inspect Platform detail you verify from their docs gVisor + network=none + read-only rootfs, open source
Agent lifecycle (approval, per-conversation) You build the agent runtime on top Built in: one sandbox per conversation, human-approval gateway
Egress control Depends on the platform network=none enforced at the syscall layer by default on Linux
Threat model Focused on isolation for code execution Published, versioned, and red-team tested every push
Cost model Usage-based Your infrastructure, AGPLv3 + commercial

When Daytona wins

Pick a fast-sandbox platform when time-to-first-sandbox and developer ergonomics dominate: you want to hand an agent a place to run code with minimal setup, spin-up latency matters more than proving the boundary, and a managed API beats owning the runtime. For coding agents, quick experiments, and workflows where the sandbox is a convenience rather than a security control, that is often the faster call. IronClaw does not compete for it.

When to reach for IronClaw

Reach for IronClaw when the sandbox is the security control and you have to prove it. Regulated data, strict residency, secrets that cannot leave your network, or a security team that needs to inspect the isolation rather than trust a description. IronClaw keeps the entire path on infrastructure you control: the provider key never enters the box, every conversation gets its own gVisor-backed sandbox with network=none and a read-only rootfs, a human-approval gateway guards capability changes with no bypass, and the boundary is open source and re-tested by a red-team containment gate on every push. See the reproducible sandbox containment benchmark for where different isolation models actually land against a fixed escape suite.

Run the self-hosted path in minutes

docker compose -f docker-compose.demo.yml up --build -d
./bin/ironctl doctor   # reports the sandbox runtime and isolation posture

Where to go next