NemoClaw
Description
NemoClaw is an open-source AI agent infrastructure stack from NVIDIA designed to run always-on AI assistants in a secure, sandboxed environment.
It leverages the NVIDIA OpenShell runtime and Agent Toolkit to enable autonomous agents powered by models such as NVIDIA Nemotron, while enforcing strict security and execution policies.
The platform provides a containerized environment where AI agents operate under controlled conditions, including network restrictions, filesystem isolation, and governed inference routing.
Developers can deploy and manage agents via a CLI interface, connect to local or cloud-based model endpoints, and define versioned blueprints for reproducible agent behavior with strong security guarantees.
Use Cases
Secure AI Agent Deployment: Run always-on AI assistants in isolated, policy-controlled environments.
Autonomous Workflow Execution: Enable agents to perform tasks like automation, inference, and system interaction safely.
Model Routing Management: Direct inference to NVIDIA cloud APIs, local NIMs, or vLLM setups.
Secure Sandbox Execution: Prevent unauthorized access through filesystem and network isolation.
AI Development Testing: Build and test agent behaviors in controlled environments before production deployment.
CLI-Based Agent Control: Launch and manage AI agents using command-line tools.
Policy-Driven Security Enforcement: Apply declarative rules for system calls, network access, and execution limits.
Cloud and Local Hybrid AI: Seamlessly integrate local models with cloud inference pipelines.
Reproducible Agent Workflows: Use versioned blueprints to standardize agent behavior across environments.
Enterprise-Grade AI Safety: Ensure controlled execution of autonomous AI systems with layered security protections.
