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Deploy AI agents to investigate cluster issues and streamline governed AI factory operations.Developer ExampleAI Factory Operations Agent
Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.TelecomLaunchableDeveloper ExampleAI Agent for Telecom Network Configuration Planning
AI agents that connect, retrieve, and reason on enterprise data—making information accessible, actionable, and intelligent.GeneralLaunchableDeveloper ExampleNVIDIA Deep Researcher Agent
An AI-powered, multi-agent system designed to optimize warehouse operations through intelligent automation, real-time monitoring, and natural language interaction.RetailLaunchableDeveloper ExampleMulti-Agent Intelligent Warehouse
Isolate OpenClaw with kernel-level policies and route inference to a local model Inspect DGX Station software and route version-aware, CLI-backed workflows Run healthcare AI agents that analyze patient data and predict protein structures in an OpenShell sandbox on DGX Station Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&AGeneralLaunchableEnterpriseBuild a Video Search and Summarization (VSS) Agent
Ready-to-run application examples for your NemoClaw sandbox — policy, prompt, and personalization for each workflow Build advanced AI agents for providers and patients using this developer example powered by NeMo Microservices, NVIDIA Nemotron, Riva ASR and TTS, and NVIDIA LLM NIMHealthcare & Life SciencesLaunchableDeveloper ExampleAmbient Healthcare Agents
Reference implementation of the Agentic Commerce Protocol (ACP) and Universal Commerce Protocol (UCP) enabling AI-powered checkout negotiation while maintaining merchant of record.RetailLaunchableDeveloper ExampleRetail Agentic Commerce
AI augmented photo booth using the DGX Spark and Reachy Mini.2 HOURSSpark & Reachy Photo Booth
Efficient 33B MoE for local, long-horizon agentic coding and terminal tasksFree Endpointlaguna-xs-2.1
Open, secure runtime for AI agents. It governs agent execution, access, and where inference goes.Install a local-first AI agent and connect it to a private OpenAI-compatible model endpoint Build a local AI assistant in an OpenShell sandbox with vLLM inference and optional Telegram Build, migrate, review, and maintain third-party NVIDIA NeMo Fabric adapters against the public adapter contract. Use when creating adapter or target descriptors, mapping AgentConfig into an agent harness or custom-agent runtime, implementing start/invoke Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - Use for agent-assisted Auto-FL optimization of an existing NVFLARE job in simulation, POC, or production. Do not use for code conversion, diagnosis-only work, or deployment setup.
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