NanoClaw: The Security-First OpenClaw Alternative That Runs Everything in Containers

After the ClawHavoc supply chain attack compromised thousands of OpenClaw installations, a lot of developers started asking the same question: is there a way to get the benefits of an AI agent without giving it the keys to your entire system?

NanoClaw's answer is simple — run everything in Docker containers. Every agent session gets its own isolated environment. If something goes wrong, the damage stays contained.

The Security Problem It Solves

OpenClaw's biggest strength is also its biggest weakness. It runs with your user permissions, which means it can do anything you can do. That includes reading SSH keys, accessing environment variables with API tokens, and executing arbitrary commands.

The ClawHavoc incident proved this was not a theoretical risk. Malicious skills on ClawHub were able to exfiltrate credentials from thousands of users because OpenClaw had no isolation between the agent and the host system.

NanoClaw takes a fundamentally different approach. Built on Anthropic's Agents SDK and written in TypeScript, it runs every agent session inside a Docker container. The agent can only access what you explicitly mount into the container.

How It Works in Practice

Setting up NanoClaw feels similar to OpenClaw but with an extra layer of Docker configuration:

git clone https://github.com/qwibitai/nanoclaw
cd nanoclaw
docker compose up -d

The Docker Compose setup handles everything — the agent runtime, the messaging gateway, and a persistent memory store. You configure your LLM provider and messaging channels through environment variables.

NanoClaw supports WhatsApp (its primary channel), Telegram, and a web interface. The skill system is more limited than OpenClaw's massive marketplace, but every skill runs in its own container, which eliminates the supply chain attack vector entirely.

Trade-offs

The container-first approach adds overhead. NanoClaw needs Docker running, which means it is not suitable for lightweight embedded devices like PicoClaw targets. You also need more RAM — at least 1GB for the base setup.

The skill ecosystem is much smaller. OpenClaw has over 10,000 community skills. NanoClaw has a curated set of maybe a few hundred. Quality over quantity, but you might miss specific integrations.

For developers who prioritize security and are comfortable with Docker, NanoClaw is the most sensible choice in the current AI agent landscape.