AI agents for the enterprise

NemoClaw is an open-source project for running OpenClaw inside OpenShell, part of the Agent Toolkit. The idea is simple: instead of running an autonomous agent directly on your machine, you run it inside a sandbox where network access, filesystem access, and inference calls are all controlled by policy. Inference traffic is routed through cloud endpoints, so the system is easier to manage and a lot easier to reason about.

What matters here is control. OpenClaw agents are useful because they can act on their own, call tools, reach outside services, and keep working without constant supervision. That is also the part that can get messy fast. NemoClaw puts boundaries around that behavior without turning the agent into something static or limited. It gives you a sandboxed runtime, declarative network rules, managed inference routing, and a CLI for setup, monitoring, and lifecycle management. So you still get an agent that can do real work, but not one running loose on the host.

It is a practical fit for teams building always-on assistants, testing agents in restricted environments, or deploying them onto remote GPU infrastructure. The project itself is built around a small plugin, a versioned blueprint, and an OpenShell-managed sandbox, which makes the setup repeatable and keeps policy enforcement consistent over time.

Official docs:Overview·How It Works·Architecture·Network Policies·CLI Commands·GitHub