Hi everyone, I've been hosting a couple of OpenClaw agents on my home server for a few months now. I'm still pretty new to this, so I'm probably overthinking things, but I got really worried about an agent somehow being compromised and sending out all my data.
Since I'm more comfortable with networking than advanced log analysis, I decided to focus on controlling the *volume* of traffic as a first signal. My method is pretty straightforward: I rate limit all agent outbound traffic and then watch for any spikes.
I run each agent in its own Docker container. I use `--memory` and `--cpus` flags to limit resources, but for network, I apply rate limiting directly at the firewall. I'm using a simple `tc` (traffic control) rule on the host to shape the traffic coming from the agent's virtual interface. I set a conservative average rate and a small burst allowance.
The idea is that a normal agent operation—sending processed results or status updates—should be pretty low and consistent. If it suddenly tries to send a large, sustained burst of data, that trips the limit and gets logged. I also graph the traffic with a simple Prometheus/`node-exporter` setup, so I can see the history.
So far, it's been quiet (which is good!). But I'm wondering if this is too simplistic? Has anyone else tried a similar network-level approach? I know I should probably also look at connection patterns and destinations, but starting with the volume felt like a manageable first step for me.
Learning by doing, sometimes losing data.