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NemoClaw gives you the full OpenClaw experience — persistent memory, gateway, multi-channel messaging — but with a hardware-enforced security boundary. NVIDIA’s OpenShell sandbox applies Landlock filesystem restrictions, seccomp syscall filtering, and network namespace isolation to the OpenClaw process running inside it. The agent can call Bedrock for inference (routed through a bedrockify proxy on the host), but it cannot enumerate EC2 instances, assume IAM roles, read S3 buckets, or make any other AWS API call. If you want OpenClaw features with zero AWS blast radius, NemoClaw is the pack.
Experimental pack. NemoClaw combines multiple upstream projects (OpenClaw, NVIDIA OpenShell, bedrockify). Expect rough edges as these components evolve independently.
NemoClaw is only compatible with the personal_assistant profile. The installer refuses any other profile at install time. The sandbox’s whole purpose is to block AWS API access — using builder or account_assistant would defeat it.

What makes NemoClaw different

  • OpenShell sandbox. NVIDIA’s OpenShell applies Landlock (filesystem), seccomp (syscalls), and network namespace isolation to the agent container. An agent running malicious or misconfigured code inside NemoClaw cannot touch your AWS resources.
  • Bedrock via bedrockify on the host. Inference calls exit the sandbox through a controlled path to bedrockify running on the host EC2 instance. The sandbox blocks all other outbound AWS API calls.
  • Same OpenClaw interface. You interact using the same openclaw TUI and commands as the non-sandboxed pack. Persistent memory lives in ~/.openclaw/ on an 80 GB data volume.
  • Requires Docker and t4g.xlarge. The OpenShell sandbox runs inside Docker with cgroup v2 configuration. The pack installs Docker automatically, but the instance must have at least 4 vCPUs and 8 GB of RAM.

Compatible profiles

ProfileSupportedReason
personal_assistantYesBedrock-only IAM; sandbox blocks AWS API access
account_assistantNoSandbox blocks the AWS API calls this profile is meant to make
builderNoSandbox blocks the AWS API calls this profile is meant to make

Prerequisites

  • AWS CLI configured with admin access in a dedicated sandbox account
  • Amazon Bedrock model access enabled in your target region (default: us-east-1)
  • Must use --profile personal_assistant — the installer will fail with any other profile
  • Instance must be at least t4g.xlarge (4 vCPUs, 8 GB RAM minimum for the sandbox)
  • Docker is installed automatically by the pack if not present

Install

curl -sfL install.lowkey.run | bash -s -- -y \
  --pack nemoclaw \
  --profile personal_assistant
The pack runs these steps automatically:
1

Profile guard

Verifies the profile is personal_assistant and refuses to continue otherwise.
2

Docker install and cgroup v2 configuration

Installs Docker (if absent), configures default-cgroupns-mode: host for cgroup v2 compatibility, and adds ec2-user to the docker group.
3

bedrockify health check

Confirms bedrockify is running on port 8090 (installed automatically as a dependency).
4

NemoClaw and OpenShell install

Downloads and runs NVIDIA’s installer, which installs NemoClaw and OpenShell.
5

Sandbox creation

Runs nemoclaw onboard non-interactively to create the sandbox named loki-assistant, pointing inference at http://127.0.0.1:8090/v1 (bedrockify on the host).
6

Identity files injected

Agent identity and configuration files are copied into the sandbox container so the agent has its instructions and context from the first message.

Connect and use

After the stack deploys, SSM into the instance and interact with the sandbox:
# Open a session
aws ssm start-session --target <instance-id>

# Check sandbox status
nemoclaw loki-assistant status

# Send a one-shot message to the agent inside the sandbox
nemoclaw loki-assistant exec openclaw agent --agent main -m "Hello"

# Open the OpenClaw TUI inside the sandbox
nemoclaw loki-assistant exec openclaw tui

Configuration options

ParameterDefaultDescription
--regionus-east-1AWS region for Bedrock
--modelus.anthropic.claude-sonnet-4-6Bedrock model ID (routed via bedrockify)
--bedrockify-port8090Port where bedrockify listens on the host
--sandbox-nameloki-assistantName of the OpenShell sandbox
--telegram-tokenOptional Telegram bot token for the bridge
--allowed-chat-idsComma-separated Telegram chat IDs
These parameters are passed via the bootstrap dispatcher config file. To override them, use advanced mode or run the pack script directly.

Security model

The OpenShell sandbox enforces isolation at three layers:
Restricts which paths the sandboxed process can read or write. The agent cannot access host OS paths outside the permitted sandbox workspace.
Filters which Linux system calls the sandboxed process can make. Dangerous or unnecessary syscalls are blocked at the kernel level.
The sandbox runs in its own network namespace. All outbound network traffic is routed through a controlled path — only Bedrock inference via the host bedrockify proxy is permitted. Direct AWS SDK calls (EC2, IAM, S3, etc.) are blocked.
An agent running inside NemoClaw cannot:
  • Enumerate EC2, IAM, or S3 resources
  • Assume IAM roles
  • Make non-Bedrock AWS API calls
  • Access host filesystem paths outside the sandbox
An agent running inside NemoClaw can:
  • Call Bedrock InvokeModel via bedrockify on the host
  • Read and write files within the sandbox workspace
  • Use the Telegram bridge (if configured)

Resource requirements

Personal assistant
Instance typet4g.xlarge (minimum — 4 vCPUs, 8 GB RAM required)
Root volume40 GB
Data volume80 GB

Notes and limitations

  • NemoClaw is the only pack that requires Docker. The pack installs it automatically, but the instance must support Docker (all Lowkey-supported AMIs do).
  • The sandbox manages its own lifecycle — there is no systemd service to check. Use nemoclaw <sandbox-name> status to inspect the sandbox state.
  • Tearing down the CloudFormation or Terraform stack deletes the sandbox and the 80 GB data volume. Back up any important workspace files before tearing down.
  • If you need Bedrock access without the sandbox, use the standard OpenClaw pack with personal_assistant.