--- title: "NemoClaw" type: "tool" slug: "nvidia-nemoclaw" canonical_url: "https://www.graphcanon.com/tools/nvidia-nemoclaw" github_url: "https://github.com/NVIDIA/NemoClaw" homepage_url: "https://docs.nvidia.com/nemoclaw/latest/" stars: 21640 forks: 2914 primary_language: "TypeScript" license: "Apache-2.0" categories: ["ai-agents", "inference-serving"] tags: ["openshell", "openclaw", "nvidia", "typescript", "ai-agents", "sandboxing"] updated_at: "2026-07-07T18:26:12.688057+00:00" --- # NemoClaw > Run agents like Hermes and OpenClaw more securely inside NVIDIA OpenShell with managed inference NVIDIA NemoClaw is an open-source reference stack designed to run AI agents securely within sandboxes provided by the NVIDIA OpenShell platform. It offers features like guided onboarding, a hardened blueprint, network policies, lifecycle management, and support for various AI agents such as Hermes and OpenClaw. ## Facts - Repository: https://github.com/NVIDIA/NemoClaw - Homepage: https://docs.nvidia.com/nemoclaw/latest/ - Stars: 21,640 · Forks: 2,914 · Open issues: 344 · Watchers: 110 - Primary language: TypeScript - License: Apache-2.0 - Last pushed: 2026-07-07T17:34:24+00:00 ## Categories - [AI Agents](/categories/ai-agents.md) - [Inference & Serving](/categories/inference-serving.md) ## Tags openshell, openclaw, nvidia, typescript, ai-agents, sandboxing ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070) - [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. (★ 147,117) - [open-webui](/tools/open-webui-open-webui.md) - User-friendly AI Interface (Supports Ollama, OpenAI API, ...) (★ 144,575) ## README (excerpt) ```text # NVIDIA NemoClaw: Reference Stack for Sandboxed AI Agents in OpenShell NVIDIA NemoClaw is an open source reference stack for running always-on AI agents more safely inside [NVIDIA OpenShell](https://github.com/NVIDIA/OpenShell) sandboxes. It provides guided onboarding, a hardened blueprint, routed inference, network policy, and lifecycle management through a single CLI. **Supported agents:** - [OpenClaw](https://openclaw.ai) (default) - [Hermes](https://get-hermes.ai/) - [LangChain Deep Agents Code](https://docs.langchain.com/oss/python/deepagents/code/overview) For capabilities, architecture, security controls, and the full feature list, see the [NemoClaw documentation](https://docs.nvidia.com/nemoclaw/latest/). ## Get Started ### Start with Your Coding Agent Use the starter prompt when you want Cursor, Claude Code, Codex, Copilot, or another local coding agent to install NemoClaw with you. **[Copy the NemoClaw starter prompt](https://docs.nvidia.com/nemoclaw/latest/user-guide/openclaw/home.html#from-your-coding-agent)**. The prompt tells your agent to use NemoClaw docs and skills, ask one question at a time, run commands only with your approval, and keep secrets out of chat. ### Install Using the Interactive Installer in Your Terminal Review [Prerequisites](https://docs.nvidia.com/nemoclaw/latest/get-started/prerequisites.html) before installing. For Hermes, set `NEMOCLAW_AGENT=hermes` before running the installer, or use the `nemohermes` alias after install. | Agent | Guide | |-------|-------| | OpenClaw (default) | [Quickstart with OpenClaw](https://docs.nvidia.com/nemoclaw/latest/get-started/quickstart.html) | | Hermes | [Quickstart with Hermes](https://docs.nvidia.com/nemoclaw/latest/get-started/quickstart-hermes.html) | | LangChain Deep Agents Code | [Quickstart with LangChain Deep Agents Code](https://docs.nvidia.com/nemoclaw/latest/get-started/quickstart-langchain-deepagents-code.html) | ## Documentation Refer to the following pages on the official documentation website for more information on NemoClaw. | Page | Description | |------|-------------| | [Overview](https://docs.nvidia.com/nemoclaw/latest/about/overview.html) | What NemoClaw does and how it fits together. | | [Architecture Overview](https://docs.nvidia.com/nemoclaw/latest/about/how-it-works.html) | High-level overview of Plugin, blueprint, sandbox lifecycle, and protection layers. | | [Ecosystem](https://docs.nvidia.com/nemoclaw/latest/about/ecosystem.html) | How OpenClaw, OpenShell, and NemoClaw form a stack and when to use NemoClaw versus OpenShell alone. | | [Architecture Details](https://docs.nvidia.com/nemoclaw/latest/reference/architecture.html) | Detailed description of Plugin structure, blueprint lifecycle, sandbox environment, and host-side state. | | [Prerequisites](https://docs.nvidia.com/nemoclaw/latest/get-started/prerequisites.html) | Hardware, software, and supported platforms, with any platform-specific pre-setup. | | [Inference Options](https://docs.nvidia.com/nemoclaw/latest/inference/inference-options.html) | Supported providers, validation, and routed inference configuration. | | [Network Policies](https://docs.nvidia.com/nemoclaw/latest/reference/network-policies.html) | Baseline rules, operator approval flow, and egress control. | | [Customize Network Policy](https://docs.nvidia.com/nemoclaw/latest/network-policy/customize-network-policy.html) | Static and dynamic policy changes, presets. | | [Security Best Practices](https://docs.nvidia.com/nemoclaw/latest/security/best-practices.html) | Controls reference, risk framework, and posture profiles for sandbox security. | | [Sandbox Hardening](https://docs.nvidia.com/nemoclaw/latest/manage-sandboxes/sandbox-hardening.html) | Container security measures, capability drops, process limits. | | [CLI Commands](https://docs.nvidia.com/nemoclaw/latest/reference/commands.html) | Full NemoClaw CLI command reference. | | [Troubleshooting](https://docs.nvidia.com/nemoclaw/latest/ ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/nvidia-nemoclaw`](/api/graphcanon/tools/nvidia-nemoclaw) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_