NVIDIA NemoClaw

What is NVIDIA NemoClaw?

NVIDIA NemoClaw is an open-source reference stack for running OpenClaw always-on assistants with tighter controls. It builds on NVIDIA OpenShell: a nemoclaw command-line tool handles onboarding, creates a sandbox with filesystem and network policies applied from first boot, and manages the lifecycle of a versioned blueprint. Model calls are routed through the OpenShell gateway to the provider you pick during setup, such as NVIDIA Endpoints, OpenAI, Anthropic, Google Gemini, a local Ollama or vLLM server, or any compatible endpoint, while credentials stay on the host. Egress rules are written in YAML, unknown hosts are blocked, and the operator is asked to approve them. Messaging channels such as Telegram, Discord and Slack can be wired to the sandboxed agent. It runs in the cloud, on premises, on RTX PCs and on DGX Spark, and can be launched from the NVIDIA Brev web UI. NemoClaw itself is open source; model usage and any Brev instance are billed separately by their providers.

Use cases

• Sandbox an always-on OpenClaw assistant
• Test agent behavior in a locked-down environment
• Deploy a sandboxed agent to a remote GPU
• Route agent model calls to a chosen provider
• Approve agent network egress by policy
• Connect a sandboxed agent to Slack or Telegram

Who it's for

• AI agent developers
• Security-minded engineers
• Platform and DevOps teams
• NVIDIA GPU users

Why use NVIDIA NemoClaw

• Agents run inside an isolated sandbox with no access granted by default, which limits what an unattended agent can reach.
• Network egress is controlled by a policy file, so new hosts need operator approval instead of being open by default.
• You can switch model providers without changing the agent, since inference is routed through the gateway.
• One CLI covers setup, sandbox creation and updates, which keeps deployments repeatable.
• It can be tried from a browser through the Brev launchable without installing anything locally.

NVIDIA NemoClaw features

• Guided onboarding that validates credentials and creates a working sandbox in one command
• OpenShell sandbox with Landlock, seccomp and network namespace isolation
• Declarative YAML egress policy that blocks unknown hosts until approved
• Routed inference to NVIDIA Endpoints, OpenAI, Anthropic, Gemini, Ollama, vLLM and compatible endpoints
• Credentials kept on the host rather than inside the sandbox
• Versioned blueprints with digest verification
• State migration across machines with credential stripping
• Messaging channels for Telegram, Discord and Slack
• Single nemoclaw CLI for gateway, sandbox, inference and policy

NVIDIA NemoClaw integrations

• OpenClaw
• NVIDIA OpenShell
• NVIDIA Brev
• OpenAI
• Anthropic
• Google Gemini
• Ollama
• vLLM
• OpenRouter
• Telegram
• Discord
• Slack

How to get started with NVIDIA NemoClaw

1. Install the nemoclaw CLI, or start a hosted sandbox from the NemoClaw launchable on NVIDIA Brev.
2. Run guided onboarding, which validates your credentials and lets you choose an inference provider and model.
3. NemoClaw sets up an OpenShell sandbox around OpenClaw, with filesystem and network policies in force from first boot.
4. Model requests from the agent go through the OpenShell gateway to your chosen provider, and API keys stay on the host.
5. Review and approve blocked hosts as they appear, and optionally connect channels such as Slack or Telegram.

NVIDIA NemoClaw limitations

• Built around OpenClaw and NVIDIA OpenShell rather than being a general agent framework
• Model catalog entries can outlive their endpoints, so availability is checked at run time
• You supply provider API keys, such as an NVIDIA API key for the default cloud provider

NVIDIA NemoClaw pricing

NVIDIA NemoClaw is open source, so you can use and self-host it for free.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

NVIDIA NemoClaw alternatives

The main NVIDIA NemoClaw alternatives listed on Debuly are E2B, Sandbox Runtime, Modal, Moltworker, TrustClaw and iterate. The table compares pricing and platforms; order is A–Z.

1. 

   E2B

   Cloud sandboxes where AI agents run code safely, with Python and JavaScript SDKs and per-second usage billing.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit E2B (official site)
2. 

   iterate

   Agent platform you deploy in your own Cloudflare account, with AI agents, voice apps and MCP access for your coding agent.

   Automation and agentsDeveloper platforms
   Visit iterate (official site)
3. 

   Modal

   Serverless cloud platform for running AI inference, training, batch jobs and agent sandboxes, billed per second of compute.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Modal (official site)
4. 

   Moltworker

   Cloudflare's proof of concept for self-hosting the OpenClaw personal AI agent on Workers and Sandboxes instead of a Mac mini.

   Automation and agentsDeveloper platformsChat assistants
   Open sourceVisit Moltworker (official site)
5. 

   Sandbox Runtime

   Anthropic's open-source srt tool that limits file and network access for any process at the OS level, with no container needed.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Sandbox Runtime (official site)
6. 

   TrustClaw

   Open-source personal AI agent from Composio with OAuth tool access, sandboxed execution, memory and Telegram, deployable on Vercel.

   Automation and agentsProductivityDeveloper platforms
   Open sourceVisit TrustClaw (official site)

NVIDIA NemoClaw FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from docs.nvidia.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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