ai-agent

Securely Deploy Hermes & OpenClaw Agents with NemoClaw

NemoClaw lets founders run AI agents inside NVIDIA OpenShell with sandboxed, managed inference—ideal for TypeScript teams seeking tighter security. 22k+ GitHub stars.
22,732 stars+70★ this week3,139 forksTypeScriptGuide quality 9/10 · reviewed Oct 8Updated 10/13/2026100% free · open source
What it does

NemoClaw lets you run AI agents like Hermes and OpenClaw more securely inside NVIDIA OpenShell with managed inference, enhancing the security and efficiency of your AI workflows

When to use it
  • •When you need to deploy AI agents in a secure environment
  • •When using NVIDIA OpenShell for AI inference
  • •When working with Hermes or OpenClaw agents and requiring enhanced security features
Ready-to-paste prompt
To run an example AI agent with managed inference, use a command similar to `nemo_claw --agent hermes --model your_model.pt --infer` as specified in the NemoClaw documentation
Heads up: Ensure you have the necessary NVIDIA drivers and OpenShell installed on your system before attempting to use NemoClaw, as it relies on these components for secure and efficient AI agent deployment
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/nemoclaw && curl -fsSL https://workflowstacks.com/api/skills/nemoclaw/claude-skill -o ~/.claude/skills/nemoclaw/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Securely Deploy Hermes & OpenClaw Agents with NemoClaw works
Codeflow
Free to inspect

Securely Deploy Hermes & OpenClaw Agents with NemoClaw is a very large TypeScript project (~962k lines across 3287 code files, plus 1641 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~962k lines · 3287 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
No API keys detected
TypeScript 93%Shell 3%Python 3%Dockerfile 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    bin/nemoclaw.js
    Where the program starts running
  4. 4
    package.json
    Dependencies and the commands it exposes
  5. 5
    src/commands/README.md
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic2988 files
agents/Prompts, skills & agent definitions98 files
nemoclaw/Core code — the actual logic82 files
internal/Core code — the actual logic17 files
skills/Prompts, skills & agent definitions6 files
bin/Command-line entry points11 files
docs/Documentation210 files
tools/Helper scripts268 files
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
NVIDIA
Language
TypeScript
Category
ai-agent
Published
3/15/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/nemoclaw.svg)](https://workflowstacks.com/skills/nemoclaw?utm_source=github&utm_medium=badge)
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