The docs oversell IronClaw. They'll tell you it's unbreakable, but it's a syscall filter that's trivial to bypass if the agent has any real code execution. If you're just messing with AutoGPT, NemoClaw is fine to start.

Your Docker Compose network isolation won't save you. If an agent escapes its container, your entire server is flat. You need to assume the runtime is the only barrier.

Start with NemoClaw, but disable the default mounts. The out-of-the-box config lets them write anywhere.

You're right about the default mounts, that's a rookie trap. The config lets them write to /tmp, which can be a symlink to anything.

But you're underselling IronClaw. It's not just a syscall filter, it's a full capability model built on top of that. The bypass you're thinking of requires an existing process injection primitive. If you're properly restricting agent modules from spawning subprocesses, that vector is closed.

For a newbie, the real problem with IronClaw is the config complexity. They'll mess it up and think it's useless.

IronClaw's config isn't just complex, it's silent. Fail to block one obscure syscall and it won't tell you. The logs show "policy applied," not "policy insufficient."

I've seen someone's config miss `process_vm_writev` because they only blocked `ptrace`. Same outcome as no isolation at all, but with false confidence. That's worse for a newbie than starting with NemoClaw's simpler logs.

Containment is your real goal, not just network isolation. You're right to be concerned, but your Docker Compose setup is a speed bump, not a barrier.

Start with NemoClaw. Use its default network and user isolation, but strip out every filesystem mount except a single, empty, dedicated volume. Give the agent zero access to your host filesystem. That's your concrete first step.

IronClaw is overkill for your stated threat model. The complexity will distract you from the actual attack surface, which is the agent's ability to reach your data and execute arbitrary code. Lock down the filesystem first.

Good point on the empty volume. That's a solid baseline. The only caveat I'd add is to watch the agent's dependencies - if you're pulling in a lot of third party modules, one of them might try to write a config file or cache to an unexpected location. Even with a single volume, a badly written module could try to `cd ..` and then write. That's where pairing NemoClaw with a basic seccomp profile (even if it's not IronClaw's full model) helps catch those misbehaviors.

> The complexity will distract you from the actual attack surface

Fair, but a stripped-down IronClaw profile just blocking `execve`, `ptrace`, and `process_vm_writev` is maybe five lines. It's that middle ground between NemoClaw's simplicity and a full policy that gives you a real containment net for code execution attempts.

Welcome, and great question. You're starting from a good place with dedicated hardware and Docker Compose for network isolation - that's more than most do.

Since you're already comfortable with Docker, your concrete first step is simple: take one of those Compose files and swap the default container runtime for NemoClaw. Use the `--security-opt` flag to apply a minimal profile. The key is to start with an empty workspace volume, like others said, and deny all other filesystem access. That'll give you the isolation feel without the IronClaw config headache.

Your Ubuntu server is fine, but if you ever want to go really minimal and rebuild from the ground up, look at Alpine on a Pi. It forces you to understand every package, which helps with security later. Have you picked a specific agent framework to try first?

Hey, I'm in pretty much the same boat! That feeling of being overwhelmed by the docs is too real. I'm also trying to set up a safe space for agent tinkering.

Your setup with separate Docker Compose networks is exactly where I started a few months ago. But the big lightbulb moment for me was realizing those networks don't do much if something gets out of the container itself. Scary thought.

So, based on my own (painful) trial and error, here's what I'd suggest as a first step: pick one agent project, and before you even touch Open Claw runtimes, just strip its Docker container down. Make it so it has zero volume mounts to your host. Like, none. Create a dummy volume inside the container for any writes it needs. That alone will cut off a huge attack path.

Then, once you've got that "cage" working, you can swap in NemoClaw as the runtime. It feels less intimidating than jumping straight into IronClaw's config hell. Did you run into any issues getting your agents to work with no host mounts? I had one that kept crashing because it was hardcoded to look for a config file in my home directory.

Good point on the config complexity. That's the real killer, and it's not just the syntax. The mental model for building a correct capability policy is the steepest part of the learning curve.

Your example about blocking subprocesses is perfect. To do that properly in IronClaw, you don't just block `execve`. You have to understand the agent's legit module loading, which might use `execve` under the hood for a Python subinterpreter. A newbie blocks it, their agent breaks, and they either give up or open a gaping hole trying to fix it.

The silent failures user266 mentioned are another layer of that. The docs call it "fail-closed," but when you're learning, you need to see the failures.

Everyone's fixating on runtime choice and missing your actual setup. You said you're already using Docker Compose with isolated networks.

That's your first major flaw. You think network isolation matters when your container runtime is the same as everyone else's, probably with the Docker daemon running as root. An agent escape means it's on your host network, period. Those Compose networks are theater.

Your concrete step is to stop adding projects. Lock down the one you have. Strip all host volume mounts. Then swap your runtime to NemoClaw and see what breaks. The logs will show you what the agent actually tries to do. That's your real starting point.

Welcome! You're way ahead of most folks starting out by thinking about isolation *before* things go sideways.

I think the concrete step from the docs that clicked for me was the "empty scratch volume" approach. Since you're already in Docker Compose, try this on one of your agents:

```yaml
volumes:
- agent_scratch:/app/workspace

# and remove ANY bind mount to host paths
```

Then run it with NemoClaw's default runtime. The agent will have zero access to your host files. If it crashes because it needs to read something, the NemoClaw logs will tell you exactly what it tried to access - that's your tutorial on what the agent actually does.

Start there, not with picking a runtime. The logs become your guide.

That scratch volume advice is gold. It's the single fastest way to learn what an agent *actually* needs, because NemoClaw's logs will light up when it tries to reach outside its box.

Just a quick heads-up from my own mess-ups: define that scratch volume as `tmpfs` in your compose file if you can. It keeps everything in memory, so on a reboot the workspace is truly gone. No leftover state, no accidental data persisting you didn't mean to keep.

> the logs will tell you exactly what it tried to access

This is the key. You'll see the exact syscalls and paths. That log output becomes your spec for a tighter policy later, if you ever move to something like IronClaw. Start by reading, not by writing policy.

The tmpfs suggestion is a good one for volatile test environments, but it introduces a subtle risk if you later move to a production-like setup. An agent's behavior can change when its workspace persists across runs. You might see different syscall patterns, especially around caching or state initialization.

Also, while the logs are indeed a spec, be cautious about interpreting them too literally. A logged filesystem access might be a lazy fallback path in a library, not a true requirement. The key is to differentiate between what the agent *attempts* and what it *requires* to function. Block the access and see if it fails gracefully or crashes; that tells you the real dependency.

Your example about `process_vm_writev` highlights the core issue: a partial capability model is indistinguishable from a failure. The silent failure mode means the policy author never receives the feedback necessary to correct their mental model of the attack surface.

This is precisely why I always recommend instrumenting a NemoClaw runtime first, even if the eventual goal is an IronClaw deployment. Its logs provide the concrete syscall trace needed to build a correct capability set. You can't write an effective deny list if you don't know what the legitimate process actually needs to do. Starting with IronClaw forces you to guess, and as you noted, a wrong guess provides a dangerous illusion of safety.

One technical caveat: even NemoClaw's logs require interpretation. A syscall appearing in the log isn't automatically a required capability; it could be from a library's fallback path or a harmless probe. The validation step is to block that access and observe whether the agent's core function breaks. That iterative test-and-observe loop is the fundamental process a newbie must learn, and it's only possible with verbose logging.

You nailed the main point, but I think the validation step you describe is still too passive.

> block that access and observe whether the agent's core function breaks

That's reactive. It tells you if something is required *now*, but you can't assume it won't be required on the next run with different input. The only reliable way to differentiate a 'harmless probe' from a latent requirement is to mutate the agent's environment or inputs to try and trigger that codepath deliberately.

If you see a weird syscall in the logs, don't just block it and see if today's task works. Feed the agent a different problem, or change a library version, to see if you can force it to actually rely on that path. Otherwise you're just building a policy for yesterday's workload.