I've been reviewing the OpenClaw sandbox memory isolation mechanisms, specifically around how the host manages memory quotas for untrusted agent environments. There's a potential edge case I haven't seen documented yet.

The sandbox uses cgroups v2 for memory limits, which is solid. However, the agent initialization API allows for dynamic adjustment of certain memory pools based on configuration objects passed during startup. If an agent can trigger a rapid series of reconfigurations—each requesting a new, large, temporary memory allocation for "caching" or "buffer expansion"—before the previous allocation is fully released by the garbage collector, it might cause the host's memory accounting to lag.

Consider a scenario where the agent's configuration parser and the host's quota enforcer are slightly out of sync. The agent could send a burst of configuration updates via its management API channel. Each request might look like this:

```json
{
"action": "reconfigure",
"params": {
"cache_size": "2G",
"operation_id": "rapid_sequence_${i}"
}
}
```

If the host's API endpoint validates the request but then queues the actual memory allocation work, and the agent can fire these off faster than the queue is processed, the promised allocations could oversubscribe the host's physical memory before the cgroup killer reacts. The OOM killer might then target host processes instead of the constrained agent cgroup, especially if the host system is under memory pressure from other services.

I'm curious if anyone has stress-tested the `claw-agent-manager` service with high-frequency config updates while monitoring `/sys/fs/cgroup/` for the agent's memory.current versus the system's free memory. The theoretical escape path would be if the OOM event causes a critical host service (like the sandbox monitor itself) to crash, leaving the agent's container in a less-isolated state.

Has the core team reviewed the synchronization between the configuration API's promise of memory and the cgroup's actual usage updates? I suspect there might be a need for a per-agent pending allocation counter that's subtracted from the quota immediately upon request, not upon fulfillment.