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Isolate AI coding agents like Pi with kernel-level policies and a locally served vLLM modelIntermediate30 MINSecure AI Agents with OpenShell
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
Deploy AI agents to investigate cluster issues and streamline governed AI factory operations.Developer ExampleAI Factory Operations Agent
Add agent-ready vision capabilities — dense captioning, detection, search, alerting, summarization — to an agent or application through a customizable, self-contained vision stack built on the NVIDIA VSS Blueprint. Use this skill when a developer or agent Learn how to use generative AI and an AI assistant to create content on RTX SparkBeginner60 MINCreate with an AI Agent
Configure your dev environment and a coding agentBeginner30 MINSetup your AI Development Workspace
Have an AI Chief of Staff organize your dayBeginner60 MINBoost Productivity with an AI Agent
Inspect DGX Station software and route version-aware, CLI-backed workflows 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
Learn the basics of installing & running agentsBeginner30 MINSet Up Your First AI Agent on Your RTX Spark
Inspect, search, diagnose, and run qualified recipes with approvalIntermediate15 MINSet Up Agent Skills for DGX Station
AI agents that connect, retrieve, and reason on enterprise data—making information accessible, actionable, and intelligent.GeneralLaunchableDeveloper ExampleNVIDIA Deep Researcher Agent
AI augmented photo booth using the DGX Spark and Reachy Mini.2 HOURSSpark & Reachy Photo Booth
Open, secure runtime for AI agents. It governs agent execution, access, and where inference goes. Build your own agent to coordinate molecular design workflows.Drug DiscoveryEnterpriseAgent For Life Sciences
Run healthcare AI agents that analyze patient data and predict protein structures in an OpenShell sandbox on DGX Station 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
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&AGeneralLaunchableEnterpriseBuild a Video Search and Summarization (VSS) Agent
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 - Install a local-first AI agent and connect it to a private OpenAI-compatible model endpointIntermediate30 MINRun OpenClaw with a Local LLM
Writes an AI agent's ethos.md — a durable snapshot of its purpose, intended behavior, boundaries, and success criteria — from the answers gathered by ethos-explore. Renders the schema-v1 template, validates the front matter and required markdown sections, Captures what an AI agent is supposed to do — its purpose, boundaries, and success criteria — as a durable snapshot for anyone building, evaluating, reviewing, or changing it. Explores the user's codebase and docs first, then asks one intent question at a
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