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docs: simplify README and make landing docs agent-agnostic (#4552)
## Summary
Simplifies the GitHub README into a short landing page and updates the
docs site intro pages to describe NemoClaw as an agent-agnostic sandbox
stack. OpenClaw and Hermes are both listed as supported agents, and
Hermes is no longer labeled experimental.
## Related Issue
None.
## Changes
- Rewrite `README.md` to point at docs for prerequisites, quickstarts,
and deep topics instead of duplicating them inline.
- Update `docs/index.mdx`, `docs/about/overview.mdx`, and
`docs/about/how-it-works.mdx` with agent-agnostic framing and links to
both OpenClaw and Hermes quickstarts.
- Remove the experimental Hermes warning from
`docs/get-started/quickstart-hermes.mdx`.
- Move Model Router pool-config and routing-flow details from the old
README into `docs/inference/inference-options.mdx`.
- Retarget platform-matrix sync from `README.md` to
`docs/get-started/prerequisites.mdx` using MDX `{/* */}` sentinels so
Fern builds cleanly.
## Type of Change
- [ ] Code change (feature, bug fix, or refactor)
- [ ] Code change with doc updates
- [x] Doc only (prose changes, no code sample modifications)
- [ ] Doc only (includes code sample changes)
## Verification
- [x] `npx prek run --all-files` passes (pre-commit hooks on commit)
- [ ] `npm test` passes
- [ ] Tests added or updated for new or changed behavior
- [x] No secrets, API keys, or credentials committed
- [x] Docs updated for user-facing behavior changes
- [ ] `npm run docs` builds without warnings (doc changes only)
- [x] Doc pages follow the [style
guide](https://github.com/NVIDIA/NemoClaw/blob/main/docs/CONTRIBUTING.md)
(doc changes only)
- [ ] New doc pages include SPDX header and frontmatter (new pages only)
---
Signed-off-by: Miyoung Choi <miyoungc@nvidia.com>
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Documentation**
* Streamlined README with clearer entry points and updated resource
links
* Rebranded architecture docs to emphasize NemoClaw and OpenShell
support for multiple agents
* Removed the experimental warning from the Hermes quickstart
* Added prerequisites page embedding for platform matrix and clarified
supported platforms
* Added detailed Model Router guidance with YAML examples and tolerance
explanation
* Updated quickstart navigation to offer both OpenClaw and Hermes paths
* **Chores**
* Updated platform-docs generation to target generated prerequisites and
MDX outputs
<!-- review_stack_entry_start -->
[](https://app.coderabbit.ai/change-stack/NVIDIA/NemoClaw/pull/4552?utm_source=github_walkthrough&utm_medium=github&utm_campaign=change_stack)
<!-- review_stack_entry_end -->
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
NVIDIA NemoClaw is an open source reference stack that simplifies running [OpenClaw](https://openclaw.ai) always-on assistants more safely.
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It installs the [NVIDIA OpenShell](https://github.com/NVIDIA/OpenShell) runtime, part of NVIDIA Agent Toolkit, which provides additional security for running autonomous agents.
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<!-- end-intro -->
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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.
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It provides guided onboarding, a hardened blueprint, routed inference, network policy, and lifecycle management through a single CLI.
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> **Alpha software**
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>
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> NemoClaw is available in early preview starting March 16, 2026.
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> [!NOTE]
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> NemoClaw is **alpha software**.
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> This software is not production-ready.
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> Interfaces, APIs, and behavior may change without notice as we iterate on the design.
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> The project is shared to gather feedback and enable early experimentation.
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> We welcome issues and discussion from the community while the project evolves.
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> Interfaces, APIs, and behavior may change without notice.
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> See [Release Notes](https://docs.nvidia.com/nemoclaw/latest/about/release-notes.html) for the current version.
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NemoClaw adds guided onboarding, a hardened blueprint, state management, OpenShell-managed channel messaging, routed inference, and layered protection on top of the [NVIDIA OpenShell](https://github.com/NVIDIA/OpenShell) runtime. For the full feature list, refer to [Overview](https://docs.nvidia.com/nemoclaw/latest/about/overview.html). For the system diagram, component model, and blueprint lifecycle, refer to [How It Works](https://docs.nvidia.com/nemoclaw/latest/about/how-it-works.html) and [Architecture](https://docs.nvidia.com/nemoclaw/latest/reference/architecture.html).
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**Supported agents:**
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## Getting Started
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-[OpenClaw](https://openclaw.ai) (default)
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-[Hermes](https://get-hermes.ai/)
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Follow these steps to install NemoClaw and run your first sandboxed OpenClaw agent.
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For capabilities, architecture, security controls, and the full feature list, see the [NemoClaw documentation](https://docs.nvidia.com/nemoclaw/latest/).
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<!-- start-quickstart-guide -->
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## Get Started
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### Prerequisites
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Review [Prerequisites](https://docs.nvidia.com/nemoclaw/latest/get-started/prerequisites.html) before installing.
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For Hermes, set `NEMOCLAW_AGENT=hermes` before running the installer, or use the `nemohermes` alias after install.
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Before getting started, check the prerequisites to ensure you have the necessary software and hardware to run NemoClaw.
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#### Hardware
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| Resource | Minimum | Recommended |
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|----------|----------------|------------------|
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| CPU | 4 vCPU | 4+ vCPU |
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| RAM | 8 GB | 16 GB |
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| Disk | 20 GB free | 40 GB free |
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The sandbox image is approximately 2.4 GB compressed. During image push, the Docker daemon, k3s, and the OpenShell gateway run alongside the export pipeline, which buffers decompressed layers in memory. On machines with less than 8 GB of RAM, this combined usage can trigger the OOM killer. If you cannot add memory, configuring at least 8 GB of swap can work around the issue at the cost of slower performance.
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#### Software
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| Dependency | Version |
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|------------|----------------------------------|
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| Node.js | 22.16 or later |
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| npm | 10 or later |
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| Platform | See below |
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#### OpenShell Lifecycle
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For NemoClaw-managed environments, use `nemoclaw onboard` when you need to create or recreate the OpenShell gateway or sandbox.
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Avoid `openshell self-update`, `npm update -g openshell`, `openshell gateway start --recreate`, or `openshell sandbox create` directly unless you intend to manage OpenShell separately and then rerun `nemoclaw onboard`.
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#### Container Runtimes
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The following table lists tested platform and runtime combinations.
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Availability is not limited to these entries, but untested configurations may have issues.
| macOS (Apple Silicon) | Colima, Docker Desktop | Tested with limitations | Install Xcode Command Line Tools (`xcode-select --install`) and start the runtime before running the installer. |
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| DGX Spark | Docker | Tested | Use the standard installer and `nemoclaw onboard`. For an end-to-end walkthrough with local Ollama inference, see the [NVIDIA Spark playbook](https://build.nvidia.com/spark/nemoclaw). |
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| Windows WSL2 | Docker Desktop (WSL backend) | Tested with limitations | Requires WSL2 with Docker Desktop backend. |
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<!-- platform-matrix:end -->
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For platform-specific pre-setup (for example, Windows WSL 2), see [Prerequisites](https://docs.nvidia.com/nemoclaw/latest/get-started/prerequisites.html).
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### Install NemoClaw and Onboard OpenClaw Agent
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Download and run the installer script.
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The script installs Node.js if it is not already present, then runs the guided onboard wizard to create a sandbox, configure inference, and apply security policies.
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> **ℹ️ Note**
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>
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> NemoClaw creates a fresh OpenClaw instance inside the sandbox during the onboarding process.
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>
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> The installer runs as your normal user and does not require `sudo` or root.
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> It installs Node.js via nvm and NemoClaw via npm, both into user-local directories.
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> Docker must be installed and running before you run the installer. Installing Docker may require elevated privileges on Linux.
nemoclaw inference set --model <model> --provider <provider> --sandbox my-assistant
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[INFO] === Installation complete ===
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```
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### Chat with the Agent
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Connect to the sandbox, then chat with the agent through the TUI or the CLI.
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```bash
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nemoclaw my-assistant connect
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```
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In the sandbox shell, open the OpenClaw terminal UI and start a chat:
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```bash
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openclaw tui
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```
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Alternatively, send a single message and print the response:
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```bash
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openclaw agent --agent main -m "hello" --session-id test
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```
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### Model Router (Experimental)
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NemoClaw includes an optional model router that automatically picks the most efficient model for each query. Instead of sending every request to a single large model, the router uses a lightweight encoder to predict which model in a pool can handle each query correctly, then routes to the cheapest one that meets an accuracy threshold.
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The router uses the [NVIDIA LLM Router v3](https://github.com/NVIDIA-AI-Blueprints/llm-router/tree/v3) prefill routing engine and runs on the host as a LiteLLM proxy. The sandbox reaches it through the OpenShell gateway and continues to call `https://inference.local/v1`; do not probe `localhost:4000` or `host.openshell.internal` directly from inside the sandbox.
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#### Enable during onboard
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Select **Model Router (experimental)** during the onboard wizard, or set `NEMOCLAW_PROVIDER=routed` for non-interactive mode:
The `tolerance` parameter controls the accuracy-cost tradeoff: 0.0 always picks the most accurate model, 1.0 always picks the cheapest, and 0.20 (default) allows up to 20 percentage points below the best for a cheaper model.
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#### Architecture
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The router runs on the host, not inside the sandbox:
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```text
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Sandbox (OpenClaw) ──> OpenShell Gateway (L7 proxy) ──> Model Router (:4000) ──> NVIDIA API
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└── PrefillRouter selects model
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```
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Credentials flow through the OpenShell provider system. The sandbox never sees raw API keys.
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### Uninstall
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To remove NemoClaw and all resources created during setup, run the CLI's built-in uninstall command:
For a full comparison of the two forms, see [`nemoclaw uninstall` vs. the hosted `uninstall.sh`](https://docs.nvidia.com/nemoclaw/latest/reference/commands.html#nemoclaw-uninstall-vs-the-hosted-uninstallsh).
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For troubleshooting installation or onboarding issues, see the [Troubleshooting guide](https://docs.nvidia.com/nemoclaw/latest/reference/troubleshooting.html).
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<!-- end-quickstart-guide -->
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| Agent | Guide |
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|-------|-------|
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| OpenClaw (default) |[Quickstart with OpenClaw](https://docs.nvidia.com/nemoclaw/latest/get-started/quickstart.html)|
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| Hermes |[Quickstart with Hermes](https://docs.nvidia.com/nemoclaw/latest/get-started/quickstart-hermes.html)|
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## Documentation
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@@ -241,49 +55,8 @@ Refer to the following pages on the official documentation website for more info
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|[CLI Commands](https://docs.nvidia.com/nemoclaw/latest/reference/commands.html)| Full NemoClaw CLI command reference. |
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|[Troubleshooting](https://docs.nvidia.com/nemoclaw/latest/reference/troubleshooting.html)| Common issues and resolution steps. |
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### Build Docs Locally
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The public documentation site is built with Fern.
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The repo pins the Fern CLI version in `fern/fern.config.json`.
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Use the npm scripts so every docs command uses that pinned version.
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```bash
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npm run docs
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npm run docs:live
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```
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To publish a branch-based Fern preview whenever docs files change, run:
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```bash
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npm run docs:preview:watch
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```
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## Project Structure
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The following directories make up the NemoClaw repository.
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```text
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NemoClaw/
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├── bin/ # CLI entry point and library modules (CJS)
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# SPDX-License-Identifier: Apache-2.0
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title: "NemoClaw Architecture Overview"
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sidebar-title: "Architecture Overview"
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description: "Learn how NemoClaw combines a host CLI, sandbox plugin, and versioned blueprint to move OpenClaw into a controlled sandbox."
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description: "Learn how NemoClaw combines a host CLI, sandbox plugin, and versioned blueprint to run supported agents in a controlled sandbox."
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description-agent: "Describes how NemoClaw works internally: CLI, plugin, blueprint runner, OpenShell orchestration, inference routing, and protection layers. Use for sandbox lifecycle and architecture mechanics; not for product definition (Overview) or multi-project placement (Ecosystem)."
This page explains how NemoClaw runs OpenClaw inside an OpenShell sandbox and how the gateway connects the agent to inference, integrations, and policy.
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This page explains how NemoClaw runs supported agents inside an OpenShell sandbox and how the gateway connects the agent to inference, integrations, and policy.
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NemoClaw does not replace OpenClaw or OpenShell.
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NemoClaw does not replace OpenShell or your chosen agent runtime.
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It packages them into a repeatable setup with a host CLI, a versioned blueprint, default policies, inference setup, plugin configuration, and state helpers.
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You can use that setup directly or adapt it for your own OpenShell integration.
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@@ -30,7 +30,7 @@ The diagram has the following components:
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| Users and operators | Start from the CLI, installer, dashboard, or an end-user channel. |
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| NemoClaw control | Collects configuration, runs onboarding, prepares the blueprint, and asks OpenShell to create or update resources. |
| NemoClaw sandbox | Runs OpenClaw with the NemoClaw plugin, the selected blueprint contents, and supporting tools. |
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| NemoClaw sandbox | Runs the onboarded agent with the selected blueprint contents and supporting tools. OpenClaw sandboxes also load the NemoClaw plugin. |
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| Inference | Receives model requests through the gateway, using NVIDIA endpoints, NIM, or compatible APIs. |
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| Integrations | Reach messaging services, MCP servers, GitHub, package indexes, or model hubs through gateway-managed egress. |
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| State and artifacts | Store configuration, credentials, logs, workspace files, policies, and transcripts outside the running agent process. |
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## Sandbox Creation
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When you run `nemoclaw onboard`, NemoClaw creates an OpenShell sandbox that runs OpenClaw in an isolated container.
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When you run `nemoclaw onboard`, NemoClaw creates an OpenShell sandbox that runs your selected agent in an isolated container.
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The host CLI and blueprint runner orchestrate this process through the OpenShell CLI:
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1. NemoClaw resolves the blueprint, checks version compatibility, and verifies the digest.
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## Next Steps
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- Read [Ecosystem](/about/ecosystem) for stack-level relationships and NemoClaw versus OpenShell-only paths.
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- Follow the [Quickstart](/get-started/quickstart) to launch your first sandbox.
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- Follow the [Quickstart with OpenClaw](/get-started/quickstart) or [Quickstart with Hermes](/get-started/quickstart-hermes) to launch your first sandbox.
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- Refer to the [Architecture](/reference/architecture) for the full technical structure, including file layouts and the blueprint lifecycle.
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- Refer to [Inference Options](/inference/inference-options) for detailed provider configuration.
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