Instrukt runs in a terminal and lets users build, test, and direct AI agents.
NVIDIA/NemoClaw
NVIDIA NemoClaw runs AI agents inside NVIDIA OpenShell with managed inference.

About NVIDIA/NemoClaw
NVIDIA NemoClaw is an open source reference stack for running OpenClaw, Hermes, and LangChain Deep Agents Code inside NVIDIA OpenShell sandboxes. It provides guided onboarding, managed inference, network policy, managed integrations, state persistence, and lifecycle operations through the NemoClaw CLI and agent-specific aliases.
Installation uses a starter prompt with a local coding agent or a terminal installer. On a supported DGX or Windows Subsystem for Linux host, express install applies preset settings and installs OpenClaw by default; declining it allows interactive choice of agent, sandbox name, inference provider, and model.
Key features
- Runs OpenClaw, Hermes, and LangChain Deep Agents Code in OpenShell sandboxes
- Managed inference with selectable provider and model configuration
- Network policy controls for sandboxed agent activity
- OpenShell-backed state persistence for agent sessions
- NemoClaw CLI with agent-specific aliases for lifecycle operations
- Guided onboarding via starter prompt for local coding agents
- Open source reference stack for sandboxed agent deployment
- Includes quickstart guides for OpenClaw, Hermes, and LangChain Deep Agents Code
- Express install applies recommended preset settings on supported hosts
- Listed support is limited to OpenClaw, Hermes, and LangChain Deep Agents Code
- Express install uses preset settings and installs OpenClaw by default
- Installation requires reviewing prerequisites and configuring an inference provider
NVIDIA/NemoClaw at a glance
- Website
- github.com/NVIDIA/NemoClaw
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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