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ZDNET’s key takeaways
- NanoClaw and Docker announce a formal partnership.
- The AI agentic will be integrated into Docker Sandboxes.
- The move highlights the importance of AI isolation.
NanoClaw and Docker have announced a partnership to enable integration of the open-source AI agent platform with Docker containers.
Also: Want to try OpenClaw? NanoClaw is a simpler, potentially safer AI agent
NanoClaw and Docker’s new partnership
The integration will allow NanoClaw builds to be deployed within Docker’s MicroVM-based sandbox infrastructure, according to the joint announcement made Friday by NanoClaw’s development group, NanoCo, and developer platform Docker
This will be the first time a claw-based AI agent can be deployed in this manner, and according to the two organizations, it will take only one command to launch. If a user summons NanoClaw, each agent task is isolated in a Docker container running with Docker Sandboxes.
NanoClaw is a new AI agent developed by Gavriel Cohen as an alternative to OpenClaw, which, while powerful, is also a security nightmare for cybersecurity professionals.
Also: AI agents of chaos? New research shows how bots talking to bots can go sideways fast
Compared to OpenClaw’s codebase of over 400,000 lines, NanoClaw is tiny, supported by fewer than 4,000 lines of code. Built on top of Anthropic’s Claude code, NanoClaw can be adapted to suit a user’s needs through skill integration. It’s also open source, allowing anyone to examine its code for errors and security issues.
The partnership makes sense as NanoClaw was originally programmed to run in containers rather than directly on an operating system. By implementing this control from the start, it has access only to what has been deliberately mounted, rather than to software, apps, and functions across the entire system.
At the time of writing, NanoClaw has over 21,000 stars on GitHub and approximately 3,800 forks.
What this means for AI agentic security
It’s a smart move. By teaming up with Docker, NanoClaw’s developers are not only promoting the AI agent by making it easily accessible to Docker users, but are also highlighting the difference between OpenClaw and NanoClaw builds. The former has, arguably, far too many open security issues to allow for trust, whereas the latter has been coded with AI isolation at its core.
The partnership is likely to capture enterprise interest, too, since companies can experiment with NanoClaw without directly loading a “claw” build onto a host machine — a risk that can lead to issues such as accidental deletion, damage, security vulnerabilities, and prompt injection attacks.
Also: This viral AI agent is evolving fast – and it’s nightmare fuel for security pros
According to NanoClaw, agents run in MicroVM-based, disposable isolation zones within Docker Sandboxes; therefore, if an agent tried to escape by exploiting a vulnerability, it would remain contained.
“Every organization wants to put AI agents to work, but the barrier is control: what those agents can access, where they can connect, and what they can change,” said Docker president Mark Cavage. “Docker Sandboxes provide the secure execution layer for running agents safely, and NanoClaw shows what’s possible when that foundation is in place.”
How to secure your claw build
The key is isolation.
If you want to try out OpenClaw, NanoClaw, or any number of claw forks out there, you need to remember that when skills are enabled, and permission has been granted, these agents can deploy and run code on your behalf, access credentials, communicate for you, make purchases, and more — depending on the abilities you have granted your AI assistant.
While powerful, this can also be extremely dangerous without containment. Boundaries have to be established to retain control of your accounts, information, and potentially, your online identity.
Also: Is Perplexity’s new Computer a safer version of OpenClaw? How it works
It is recommended that you only use this technology in a container or sandbox environment, as there’s no other secure option at the moment.
“A single compromised agent can access credentials, read session histories, and reach data belonging to entirely separate agents,” NanoClaw’s team noted. “Application-level permission checks don’t offer sufficient protection. What is required is OS-enforced isolation: each agent in its own safe environment, with its own filesystem and session history, invisible to every other agent running alongside it.”
Source: www.zdnet.com
