While OpenClaw with over 400K lines of code creates a massive attack surface, NanoClaw takes the opposite approach: only about 4,000 lines of code, running entirely in isolated containers. This is a smart trade-off between features and security.
Container Isolation Architecture
NanoClaw uses Linux containers (and Apple Containers on macOS) to create a complete sandbox for each AI agent session. Each container has its own filesystem, network namespace, and cannot directly access the host system.
# NanoClaw container configuration
apiVersion: nanoclaw/v1
kind: AgentSandbox
spec:
runtime: linux-container
isolation:
filesystem: read-only-root
network: restricted
allowed_endpoints:
- "api.anthropic.com:443"
resources:
memory: "2Gi"
cpu: "1.0"
security:
no_new_privileges: true
seccomp_profile: strictOpenClaw vs NanoClaw Comparison
- Codebase: OpenClaw ~400K lines vs NanoClaw ~4K lines - less code = fewer bugs
- Isolation: OpenClaw runs on host vs NanoClaw runs in isolated containers
- Network: OpenClaw full access vs NanoClaw only whitelisted endpoints
- SDK: OpenClaw self-developed vs NanoClaw uses audited Anthropic Agents SDK
Anthropic Agents SDK and Security Model
NanoClaw is built on the Anthropic Agents SDK - a framework that has undergone rigorous security review, providing built-in guardrails for tool-use, memory management, and output validation.
With only ~4,000 lines of code, the entire NanoClaw codebase can be fully security audited in 1-2 days, compared to weeks for OpenClaw.
DNA's Container Security Testing for AI Agents
DNA has developed a specialized test suite for container-based AI agents, testing container escape, privilege escalation, network breakout, and sandbox bypass techniques.
Container isolation is not a silver bullet, but it significantly raises the cost of attack. Attackers need a much more complex exploit chain to compromise NanoClaw compared to OpenClaw.