ClawCage Container Isolation

Most AI agent platforms run your agents on shared infrastructure with soft boundaries between tenants. Your agent’s data, credentials, and runtime state sit in the same process (or at best, the same virtual machine) as everyone else’s. ClawStaff takes a fundamentally different approach. Every Claw you deploy runs inside its own dedicated Docker container called a ClawCage. There is no shared state, no shared memory, no shared filesystem. Your agent is fully sandboxed from the moment it starts.

How It Works

When you deploy a Claw from the ClawStaff dashboard, the platform provisions a fresh Docker container on Hetzner bare-metal infrastructure. This container is your Claw’s ClawCage, its isolated runtime environment.

1. Container provisioning. The ClawCage is built from a minimal, hardened base image. Only the dependencies your Claw actually needs are installed. There is no SSH access, no package manager in the running container, and no way to modify the runtime from inside.

2. Credential injection. Your API keys, OAuth tokens, and integration credentials are encrypted at rest and only decrypted at container startup. They are injected as environment variables inside the ClawCage and are never written to disk, never logged, and never exposed outside the container boundary.

3. Network isolation. Each ClawCage runs with its own network namespace. Outbound traffic is restricted to the specific endpoints your Claw needs: the AI model provider, your connected integrations, and the ClawStaff control plane. There is no lateral network access between ClawCages, even within the same organization.

4. Filesystem isolation. The ClawCage’s filesystem is ephemeral and private. Any files your Claw creates (temporary data, generated reports, cached responses) exist only within that container and are destroyed when the ClawCage is stopped. Persistent storage, when needed, is provisioned as dedicated encrypted volumes that are mounted exclusively to a single ClawCage.

5. Resource limits. Every ClawCage has hard limits on CPU, memory, and disk usage. If a Claw enters a runaway loop, consumes excessive memory, or tries to fill the disk, the container is throttled or terminated automatically. One misbehaving agent cannot affect the performance of any other Claw in your organization, or anyone else’s.

Why It Matters

The difference between container isolation and process-level isolation is not academic. It is the difference between “we try to keep your data separate” and “it is physically impossible for another agent to access your data.”

In shared-runtime platforms, a vulnerability in one agent’s dependencies can expose another agent’s credentials. A prompt injection attack that compromises one agent might be able to read memory belonging to a neighboring agent. A poorly configured tool integration might leak data across tenant boundaries. These are not hypothetical risks. They are the natural consequences of running multiple agents in the same process space.

ClawCages eliminate this entire class of vulnerability. Each container is a separate Linux process tree with its own PID namespace, network namespace, mount namespace, and user namespace. The kernel enforces these boundaries, not application code. Even if an attacker fully compromises the Claw running inside a ClawCage, they are contained within that single container with access to only that Claw’s credentials and data.

For teams in regulated industries (finance, healthcare, legal) this level of isolation is not optional. It is the baseline requirement for deploying AI agents that interact with sensitive data and production systems.

Key Benefits

• True multi-tenancy. Organizations sharing the same physical infrastructure are separated at the container level. There is no way for one tenant’s Claw to observe, access, or interfere with another’s.

• Blast radius containment. If something goes wrong with a Claw (a bug, a compromised dependency, a prompt injection attack) the damage is confined to that single ClawCage. Your other Claws, your data, and your credentials are untouched.

• Predictable performance. Resource limits mean your Claws get consistent CPU and memory allocation. A spike in one Claw’s workload does not degrade performance for your other agents.

• Compliance-ready architecture. Container isolation maps cleanly to compliance frameworks that require data segregation, access controls, and audit trails. Each ClawCage is a discrete, auditable unit of deployment.

• Complete audit logging. Every action a Claw takes inside its ClawCage (every API call, every tool invocation, every file operation) is logged and available in your dashboard. You know exactly what each agent did, when it did it, and what data it accessed.

• Clean teardown. When you stop or delete a Claw, the entire ClawCage is destroyed. There are no orphaned credentials, no lingering data, no zombie processes. The container is gone and everything inside it goes with it.