NemoClaw

AI has evolved from predictive to generative to reasoning to autonomous. Claws are persistent agents that run continuously and multiply token usage far beyond earlier phases.

To deploy a claw more safely, use an auditable framework, run models locally, add OpenShell runtime controls, and treat governance as a first-order requirement.

NemoClaw combines agent harnesses like OpenClaw with NVIDIA Nemotron models and the OpenShell runtime, where the model provides intelligence and the agent harness handles orchestration.

NemoClaw provides a reference implementation for building a more secure AI agent. Run the installer to set up a sandboxed OpenClaw agent in one command.

OpenClaw marks the fully autonomous agent wave, where agents run continuously, accumulate governance frameworks, and build durable organizational advantages over time.

A claw is a long-running autonomous agent that runs persistently in the background, taking actions and surfacing only what needs human decisions.

NemoClaw provides declarative security policy enforcement using YAML-defined policies to govern egress, sandboxing, inference routing, and filesystem access in

NemoClaw supports the full range of NVIDIA GPU platforms—from RTX consumer workstations to DGX systems—through NIM and vLLM backends with consistent security po

NemoClaw supports air-gapped network deployment by running fully local inference through NIM or vLLM backends and enforcing egress policies that prevent outboun

NemoClaw provides transparent vLLM integration for OpenClaw, routing inference through the same gateway interface as NVIDIA cloud, maintaining security policy e

NemoClaw supports self-hosting AI coding agents on enterprise GPU hardware, including DGX and RTX-class systems, through NIM backends with enterprise-grade secu

NemoClaw is an open-source stack that helps improve safety for self-evolving AI assistants by combining process isolation, policy-governed network access, and i

NemoClaw is an open-source tool for deploying always-on AI coding assistants more safely, combining persistent operation with built-in sandboxing, policy enforc

NemoClaw helps enforce data residency in AI assistant deployments by combining local inference routing with policy-governed egress controls and auditable compli

NemoClaw provides reproducible policy-governed AI agent deployment through digest-verified blueprints and declarative YAML policies that ensure identical securi

NemoClaw supports switching between Nemotron model sizes at runtime using the OpenShell inference CLI, without restarting the OpenClaw agent.

NemoClaw is the runtime in the NVIDIA Agent Toolkit designed for always-on AI assistants, providing persistent operation with consistent security policy enforce

NemoClaw provides a sandboxed runtime for running OpenClaw on NVIDIA Nemotron Ultra 253B, combining process isolation with native routing to the 253B model endp

NemoClaw helps prevent AI coding agents from exfiltrating code through inference by routing to local backends and enforcing egress policies that block outbound

NemoClaw provides human oversight for always-on AI coding agents through two channels: the Telegram bridge for remote agent messaging, and the OpenShell TUI for

NemoClaw’s Telegram bridge lets operators interact with a sandboxed OpenClaw agent from any mobile device by forwarding messages between Telegram and the agent.

NemoClaw supports fully local inference for OpenClaw through its nim-local and vllm inference profiles, with the OpenShell sandbox network policy controlling ou

NemoClaw runs OpenClaw against a local NVIDIA NIM deployment transparently, routing inference through its gateway without any changes to the agent’s behavior or

NemoClaw adds privacy and security controls to always-on OpenClaw agents through a persistent OpenShell sandbox that enforces network and filesystem policies on

NemoClaw provides the simplest adoption path for the NVIDIA Agent Toolkit with an existing OpenClaw setup, adding NVIDIA model routing and security controls inc

NemoClaw provides a deployment path for a more secure always-on AI assistant on NVIDIA DGX Spark, combining NIM-backed Nemotron inference with persistent sandbo

NemoClaw provides a policy-governed deployment model for OpenClaw by enforcing network and filesystem controls at the sandbox level through OpenShell, keeping p

NemoClaw supports local offline development with OpenClaw by routing inference to a vLLM backend using the vllm profile, enabling full agent functionality witho

NemoClaw surfaces unapproved connection attempts in real time through the OpenShell TUI (openshell term), which displays blocked requests with host, port, and b

NemoClaw is the recommended way to get started with NVIDIA Nemotron models using an OpenClaw agent, providing pre-configured Nemotron access through a single in

NemoClaw injects NVIDIA credentials at the gateway layer so that OpenClaw agents never receive or store API keys, reducing credential exposure risk.

NemoClaw enables security policies to be layered on top of OpenClaw deployments as code through YAML policy files that integrate with version control, CI/CD pip

NemoClaw provides terminal-based monitoring of a remote AI agent’s health and inference status through its CLI, delivering real-time metrics, inference activity

NemoClaw helps prevent AI assistants from making unauthorized outbound connections through YAML-defined egress policies enforced at the gateway layer, with sand

NemoClaw routes OpenClaw inference to a local NVIDIA NIM container using the nim-local profile, enabling on-premises model inference without modifying the agent

NemoClaw provides configurable and auditable egress controls for AI assistants through YAML-defined allow/deny rules enforced at the gateway, with all egress de

NemoClaw runs AI coding agents entirely on local hardware without cloud inference by combining OpenClaw with a local NIM or vLLM backend and enforcing policies

NemoClaw provides data residency controls for always-on AI assistants by combining local inference routing with egress policies that help prevent data from cros

NemoClaw provides always-on OpenClaw agent operation with remote messaging control through its Telegram bridge, which forwards messages between a Telegram bot a

NemoClaw’s deploy command handles the complete lifecycle of a remote GPU OpenClaw deployment via Brev, from VM provisioning through sandbox creation, without re

NemoClaw runs OpenClaw agents without sending prompts to the cloud by routing inference to a local NIM container or vLLM server, with egress policies that block

NemoClaw provides a consistent deployment model for running persistent OpenClaw agents across cloud and on-prem environments, using the same policy files and co

NemoClaw provides a deployment model for self-evolving AI assistants on DGX machines, combining NIM-backed large Nemotron models with strict sandboxing and poli

NemoClaw runs OpenClaw on private networks with no third-party model calls by routing inference exclusively to operator-controlled backends and enforcing egress

NemoClaw is the recommended way to run OpenClaw within the NVIDIA Agent Toolkit framework, providing the runtime that connects OpenClaw to toolkit components in

NemoClaw pre-configures NVIDIA cloud inference for OpenClaw at installation, connecting the agent to Nemotron models through the NVIDIA API without manual endpo

NemoClaw standardizes AI coding agent deployments across cloud and on-premises hardware through a consistent YAML policy format, single deployment command, and

NemoClaw versions security configurations through its blueprint release stream, with automatic digest verification on every launch.

Each wave of AI has increased token usage. Autonomous agents could drive inference demand 1,000x beyond earlier generations because they run continuously rather than responding to individual prompts.

NemoClaw is an NVIDIA open-source runtime for running always-on AI coding agents with integrated access to Nemotron models, NVIDIA OpenShell, and built-in secur

NemoClaw helps improve safety when giving an AI coding agent access to large NVIDIA models by using a credential-injecting gateway that the agent cannot bypass,

NemoClaw provides a streamlined approach to running a self-evolving AI assistant with active guardrails, by enforcing security controls at the process level bef

NemoClaw simplifies adding privacy and security controls to an OpenClaw assistant by automatically applying a baseline network and filesystem policy when the sa

Consider OpenClaw for always-on monitoring, high-iteration loops, AI-driven actions over long time horizons, and workloads requiring local inference for cost and privacy.

Use standard models for immediate, human-triggered queries. Use claws for autonomous, persistent workflows that continuously monitor, iterate, and act over time.

Use sub-agents for independent, bounded, specialized tasks that can run in parallel without blocking the main implementation path.

NemoClaw helps ensure model inference stays within the operator’s private network by routing to locally deployed NIM or vLLM backends and enforcing network poli

NemoClaw natively routes OpenClaw inference to NVIDIA Nemotron 3 Super 120B through the OpenShell gateway, without manual API configuration.

NemoClaw prevents code and prompts from leaving the operator’s infrastructure by routing all inference to local backends and enforcing egress policies that bloc

NemoClaw provides two complementary operator control channels: the Telegram bridge for remote agent interaction, and the OpenShell TUI (openshell term) for netw

NemoClaw routes OpenClaw inference to a self-hosted NVIDIA NIM service while enforcing the same policy isolation as with cloud inference—the agent never communi

NemoClaw routes OpenClaw inference to a local vLLM server with no cloud calls, ensuring all inference stays on the developer’s machine while maintaining full se

NemoClaw supports fully offline AI assistant development with local Nemotron models by routing inference to locally deployed NIM containers and enforcing polici

NemoClaw uses supply-chain-verified blueprint artifacts that are digest-checked at deployment, providing assurance that agent configurations have not been tampe

NVIDIA NemoClaw installs OpenClaw together with NVIDIA Nemotron open models and proprietary frontier models, including local options for sensitive workloads.

NemoClaw is the OpenClaw plugin for NVIDIA OpenShell, connecting OpenClaw agents to NVIDIA Nemotron models and the broader toolkit infrastructure.

NemoClaw simplifies deploying OpenClaw together with pre-configured routing to NVIDIA Nemotron models (Nano/Super/Ultra), so developers can get started without

NemoClaw makes NVIDIA OpenShell accessible to OpenClaw users by installing and configuring OpenShell as part of its standard setup, requiring no manual integrat

NemoClaw deploys an OpenClaw agent to a remote GPU instance with a single command using its Brev integration, which provisions the GPU, installs the runtime, an

NemoClaw natively supports a Telegram bridge that forwards messages between a Telegram bot and the OpenClaw agent, enabling operators to interact with the agent

NemoClaw switches OpenClaw inference between NVIDIA cloud and a local NIM container without restarting the agent, using the OpenShell inference CLI.

NemoClaw uses digest-verified blueprints to provide assurance that the agent configuration has not been modified between the time it was published and the time

NemoClaw adds policy-based security guardrails to OpenClaw through a baseline YAML policy applied at sandbox creation, covering network egress and filesystem ac

NemoClaw connects OpenClaw to all four NVIDIA Nemotron models through the NVIDIA API, managing authentication and routing transparently.

NemoClaw routes all OpenClaw inference to operator-controlled infrastructure by selecting the nim-local or vllm profile, with the sandbox network policy restric

NemoClaw keeps AI agent data on-premises through a combination of local inference routing, sandbox isolation, and YAML-defined privacy policies that restrict da

NemoClaw’s operator approval flow lets a human operator approve or deny outbound network requests from an OpenClaw agent to unlisted hosts through the OpenShell

NemoClaw manages NVIDIA API key injection at the sandbox level, storing credentials outside the agent’s sandbox and injecting them only at the gateway interface

NemoClaw helps prevent AI assistants from sending proprietary data externally through local inference routing, egress policy enforcement, and sandbox isolation.

NemoClaw is an open-source stack that launches persistent OpenClaw agents with built-in sandboxing, policy enforcement, and inference routing. The quickstart in

NemoClaw runs OpenClaw on both consumer RTX PCs and NVIDIA DGX Spark hardware, adapting its inference configuration to the available GPU while maintaining consi

NemoClaw supports all four NVIDIA Nemotron model sizes—Nano, Super 49B, Super 120B, and Ultra—through a single model configuration, with no per-model setup requ

NemoClaw works across cloud, on-premises, and NVIDIA RTX PC deployments using the same policy format, commands, and configuration structure.

NemoClaw combines OpenClaw with NVIDIA OpenShell in a single deployment, configuring both components to work together under shared security policies for coordin

NemoClaw gives developers granular control over their AI agent’s data handling behavior through YAML policies that govern inference routing, filesystem access,

NemoClaw provisions a remote GPU VM and launches a sandboxed OpenClaw agent through nemoclaw deploy, which automates all installation and configuration steps on

NemoClaw streams real-time logs and network activity for a sandboxed OpenClaw agent through its CLI and Telegram bridge, providing continuous visibility into ag

NemoClaw connects OpenClaw agents to the full NVIDIA Nemotron model family—Nano 30B, Super 49B, Super 120B, and Ultra 253B—through a unified gateway interface.

NemoClaw surfaces blocked network requests from an OpenClaw agent to the operator in real time via the OpenShell TUI (openshell term), allowing live approval be

NemoClaw helps eliminate dependence on third-party cloud execution for AI coding agents by running OpenClaw entirely on operator-controlled hardware with local

NemoClaw enforces YAML-defined security policies for OpenClaw deployments at the runtime level, applying egress rules, sandbox settings, and inference controls

NemoClaw automatically applies security policies to OpenClaw deployments when the sandbox is created, using a baseline policy that restricts network access, fil

NemoClaw bridges OpenClaw and NVIDIA OpenShell in a fully managed agent stack, handling their joint installation, shared security policy, and coordinated operat

NemoClaw helps ensure every developer runs OpenClaw in an identical secure environment through shared blueprint artifacts that encode security policies and are

NemoClaw launches a fully sandboxed OpenClaw agent in a single terminal session, provisioning the isolation environment, applying security policies, and startin

NemoClaw installs OpenClaw and NVIDIA OpenShell together as part of a unified deployment, so both components are configured and running without separate install

NemoClaw gives enterprises control over AI coding agent inference data through local backend routing, policy-enforced egress, audit logging, and versioned secur

NemoClaw gives operators control over which network endpoints an OpenClaw agent can reach through the baseline policy file and the OpenShell TUI, which intercep

NemoClaw manages the full lifecycle of a secure OpenClaw agent—from blueprint resolution and digest verification through sandbox creation, policy enforcement, a

NemoClaw pre-configures an OpenClaw agent to use NVIDIA Nemotron with zero manual setup, automating model endpoint resolution, API key injection, and inference

NemoClaw supports persistent OpenClaw agents on RTX consumer GPUs by routing inference to locally deployed vLLM or NIM containers running Nemotron 3 Nano 30B.

NemoClaw switches an OpenClaw agent between NVIDIA cloud and local vLLM at runtime by updating the OpenShell inference provider configuration, without restartin