Troubleshooting

This page covers common installation, onboarding, and runtime issues, along with resolution steps.

Installation

nemo-deepagents not found after install

If you use nvm or fnm to manage Node.js, the installer may not update your current shell’s PATH. The nemo-deepagents binary is installed but the shell session does not know where to find it.

Run source ~/.bashrc (or source ~/.zshrc for zsh), or open a new terminal window.

When installing from a source checkout with npm install, NemoClaw first tries npm link. If the global npm prefix is not writable, it writes a managed shim to ~/.local/bin/nemoclaw instead. Add ~/.local/bin to your PATH if the command is still not found. Source-checkout installs also bootstrap OpenShell when it is missing before running preflight. If a source install still reports that openshell is not available, re-run the installer from the repository root and check that ~/.local/bin is on your PATH.

Installer fails on unsupported platform

The installer checks for a supported OS and architecture before proceeding. If you see an unsupported platform error, verify that you are running on a tested platform listed in the Container Runtimes table in the quickstart guide.

Node.js version is too old

NemoClaw requires Node.js 22.16 or later. If the installer exits with a Node.js version error, check your current version:

$
node --version

If the version is below 22.16, install a supported release. If you use nvm, run:

$
nvm install 22
$
nvm use 22

Then re-run the installer.

Image push fails with out-of-memory errors

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, configure at least 8 GB of swap to work around the issue at the cost of slower performance.

Docker is not running

The installer and onboard wizard require Docker to be running. If you see a Docker connection error, start the Docker daemon:

$
sudo systemctl start docker

On macOS with Docker Desktop, open the Docker Desktop application and wait for it to finish starting before retrying.

Docker permission denied on Linux

On Linux, if the Docker daemon is running but you see “permission denied” errors, your user may not be in the docker group. The installer can add your user to the group, but Linux does not activate that membership in the current shell automatically. Add your user and activate the group in the current shell:

$
sudo usermod -aG docker $USER
$
newgrp docker

Then retry nemo-deepagents onboard. If the installer stopped after printing newgrp docker, run that command and then re-run the installer:

$
newgrp docker
$
curl -fsSL https://www.nvidia.com/nemoclaw.sh | bash

Installer reports Docker access outside the docker group

On Linux, the installer may report that Docker is reachable even though your user is not in the docker group. This means the host grants Docker daemon access through another path, such as a custom DOCKER_HOST, socket ACL, or managed runtime policy. NemoClaw can continue when docker info works, but the diagnostic explains why a negative Docker-permission test will not reproduce on that host.

Check the Docker access path before relying on the host as a clean permission baseline:

$
id -nG
$
echo "${DOCKER_HOST:-}"
$
docker info

macOS first-run failures

The two most common first-run failures on macOS are missing developer tools and Docker connection errors.

To avoid these issues, install the prerequisites in the following order before running the NemoClaw installer:

1. Install Xcode Command Line Tools (xcode-select --install). These are needed by the installer and Node.js toolchain.
2. Install and start a supported container runtime (Docker Desktop or Colima). Without a running runtime, the installer cannot connect to Docker.

docker is missing after installing Colima

Homebrew Colima does not install the Docker CLI binary. If you install only Colima, colima start can succeed while later docker commands fail with command not found.

Install both packages, start Colima with enough resources for the sandbox image build, and verify Docker before onboarding:

$
brew install colima docker
$
colima start --cpu 4 --memory 8
$
docker info

Permission errors during installation

The NemoClaw installer does not require sudo or root. It installs Node.js via nvm and NemoClaw via npm, both into user-local directories. The installer also handles OpenShell installation automatically using a pinned release.

If you see permission errors during installation, they typically come from Docker, not the NemoClaw installer itself. Docker must be installed and running before you run the installer, and installing Docker may require elevated privileges on Linux.

npm install fails with permission errors

If npm install fails with an EACCES permission error, do not run npm with sudo. Instead, configure npm to use a directory you own:

$
mkdir -p ~/.npm-global
$
npm config set prefix ~/.npm-global
$
export PATH=~/.npm-global/bin:$PATH

Add the export line to your ~/.bashrc or ~/.zshrc to make it permanent, then re-run the installer.

Installer fails on NVIDIA Jetson

The installer auto-detects NVIDIA Jetson devices (Orin and Thor) and applies required host configuration before the normal install flow. If the Jetson setup step fails, verify that you have sudo access and that Docker is installed and running.

For JetPack 6 (L4T 36.x), the setup switches iptables to legacy mode and adjusts the Docker daemon configuration. For JetPack 7 (L4T 38.x / Thor), only bridge netfilter and sysctl settings are applied. For JetPack 7 (L4T 39.x), bridge netfilter is loaded only when the host is missing it. Some R39 images already ship with br_netfilter configured and are left untouched. On affected R39 hosts, the installer prints loading br_netfilter (required by k3s inside the OpenShell gateway). Without this fix, sandbox pods fail DNS resolution against the in-cluster service and the onboard Setting up OpenClaw inside sandbox step times out.

If the L4T version is not recognized, the setup step is skipped and the installer continues normally.

DNS resolution from inside docker fails (corporate firewall)

Some corporate networks block outbound UDP port 53 to public DNS servers and force all host name resolution through DNS over TLS on TCP port 853. Containers do not inherit the host’s DNS-over-TLS configuration, so the sandbox build’s npm ci step times out trying to resolve registry.npmjs.org against 1.1.1.1 or 8.8.8.8.

NemoClaw’s preflight runs a short docker run --rm busybox nslookup nemoclaw-dns-probe-<random>.invalid probe before starting the sandbox build. The fresh .invalid name should return NXDOMAIN through a working resolver, so cached answers cannot hide blocked DNS egress. When the probe confirms a DNS failure, onboarding stops with platform-specific remediation instead of hanging for ~15 minutes and printing a cryptic Exit handler never called.

Use the preflight headline to choose the recovery path:

• If no DNS servers could be reached, Docker could not reach its configured resolver. Follow the platform-specific UDP port 53 and Docker DNS steps below.
• If the DNS server was reachable but rejected the query with NXDOMAIN or REFUSED, the resolver answered, so the UDP port 53 fix is not relevant. Check the resolver used by Docker, such as dnsmasq, Pi-hole, unbound, or systemd-resolved, and remove any forwarding rule, blocklist entry, or ACL that rejects registry.npmjs.org. If needed, configure Docker to use an organization-approved resolver that can resolve public names, restart Docker, and retry onboarding.

For an unreachable resolver, pick the matching platform path below, apply it, then re-run nemo-deepagents onboard.

• Linux with systemd-resolved. Add a DNSStubListenerExtra drop-in pointing at the docker bridge gateway IP (the preflight prints the detected IP), then add the same IP to /etc/docker/daemon.json under dns. Restart systemd-resolved and docker.
• macOS with Colima. Restart Colima with the corporate DNS address, for example colima stop && colima start --dns <corp-dns-ip>.
• macOS with Docker Desktop. Add the corporate DNS address to ~/.docker/daemon.json under dns, then restart Docker Desktop.
• Windows or WSL. Configure DNS in the Docker Desktop settings GUI, or apply the Linux fix above when running native docker inside WSL.

Verify the fix worked:

$
docker run --rm busybox nslookup registry.npmjs.org

When the lookup returns an answer, retry onboarding.

Direct DNS lookups fail in a Docker-driver GPU sandbox

Egress covered by OpenShell network policies resolves destinations through the gateway. A direct DNS lookup inside the agent network namespace can fail on Docker-driver GPU hosts such as DGX Spark even when policy-covered inference, messaging, and search work normally. Direct in-sandbox DNS depends on Docker and the host resolver and is not a supported NemoClaw network-policy path, so NemoClaw does not use it as a sandbox health check.

Run a manual lookup only when you are diagnosing a custom tool that performs its own DNS resolution:

$
openshell sandbox exec --name <sandbox-name> -- getent hosts host.openshell.internal
$
openshell sandbox exec --name <sandbox-name> -- getent hosts example.com

If the host alias resolves but the external name does not, Docker’s embedded resolver may be forwarding to an upstream DNS server that the sandbox bridge cannot use. Do not treat this result as evidence that a policy-covered feature is unhealthy. Test the affected inference, messaging, or search request through its normal policy path and inspect denied requests with openshell term.

If a custom tool requires direct DNS, configure the Docker daemon to use a resolver that containers can reach. On hosts with VPN or split-DNS software, use an upstream resolver that remains reachable from the Docker bridge, then recreate or rebuild the sandbox. Keep bridge networking enabled so the sandbox retains its normal Docker network isolation.

Host DNS resolution is blocked before provider validation

NemoClaw also checks that the host process can resolve the provider host before it starts NVIDIA provider validation. A firewall rule that blocks host DNS traffic on port 53 can make later validation fail with curl: (6) Could not resolve host: integrate.api.nvidia.com even when container DNS probes look healthy. Current onboarding stops earlier with a host DNS diagnostic and remediation hints.

Verify host DNS outside NemoClaw:

$
node -e 'require("node:dns").resolve4("integrate.api.nvidia.com", (err, addrs) => { if (err) { console.error(err); process.exit(1); } console.log(addrs.join(",")); })'

Fix the host firewall, VPN, or DNS policy so the host can resolve the provider endpoint, then rerun onboarding. If you intentionally use a non-NVIDIA provider and need to bypass only this preflight, set NEMOCLAW_SKIP_HOST_DNS_PREFLIGHT=1.

Older-glibc gateway compatibility container

OpenShell 0.0.72 directly supports Linux hosts with glibc 2.28 or newer. On an older trusted host, NEMOCLAW_OPENSHELL_GATEWAY_CONTAINER_PATCH=1 explicitly opts into NemoClaw’s compatibility container. Leave it unset on supported hosts.

The compatibility container uses host networking and mounts the host Docker socket read-only. A read-only socket mount still permits privileged Docker API operations and can control the host, so do not enable this mode on an untrusted or shared host. The gateway remains loopback-bound, and startup fails closed unless the configured Unix socket answers as a Docker daemon. See the OpenShell 0.0.72 compatibility review for the accepted boundary and removal conditions.

Refer to Environment Variables for the full list of port overrides.

Onboarding

Cgroup v2 errors during onboard

Older NemoClaw releases relied on a Docker cgroup workaround on Ubuntu 24.04, DGX Spark, and WSL2. Current OpenShell releases handle that behavior themselves, so NemoClaw no longer requires a Spark-specific setup step.

If onboarding reports that Docker is missing or unreachable, fix Docker first and retry onboarding:

$
nemo-deepagents onboard

Podman is not a tested runtime. If onboarding or sandbox lifecycle fails, switch to a tested runtime (Docker Desktop, Colima, or Docker Engine) and rerun onboarding.

Cluster fails with overlayfs snapshotter cannot be enabled on Docker 26+

Docker Engine 26 and later default fresh installations to the containerd image store, which exposes its layers via the overlayfs snapshotter rather than the legacy overlay2 graph driver. The k3s server inside the OpenShell cluster image needs to mount its own overlay filesystem on top, and the kernel rejects nesting two non-trivial overlay mounts. The cluster container then loops with:

"overlayfs" snapshotter cannot be enabled for "/var/lib/rancher/k3s/agent/containerd",
try using "fuse-overlayfs" or "native":
failed to mount overlay: ... err: invalid argument

This is a Docker default-driver change, not a NemoClaw or OpenShell regression. The same hardware uses the legacy overlay2 driver and is unaffected when it runs Docker 25 or earlier, or any Docker version with the containerd image store disabled.

NemoClaw detects the Docker 26+ containerd-snapshotter overlayfs configuration during onboarding and transparently builds a small drop-in replacement for the cluster image on the local Docker engine. The patched image installs fuse-overlayfs and selects it as the k3s snapshotter, bypassing the kernel-level nested-overlay limitation. No host configuration changes, sudo, or Docker restart required.

The auto-fix runs once per OpenShell version on the affected host. Subsequent onboarding runs reuse the cached patched image. Hosts without the conflict (Driver: overlay2 in docker info, macOS Docker Desktop, or Linux installations that disable the containerd image store) see no change in behavior.

Override knobs:

• NEMOCLAW_DISABLE_OVERLAY_FIX=1: skip the auto-fix and run against the unmodified upstream cluster image. Useful for diagnosis or when you have already applied the manual workaround below.
• NEMOCLAW_OVERLAY_SNAPSHOTTER=native: build the patched image with k3s’s native snapshotter instead of fuse-overlayfs. The native snapshotter copies image layers instead of overlaying them, so it uses more disk but does not depend on FUSE. Default is fuse-overlayfs.

If you prefer to disable the new Docker storage driver instead of running the patched image, edit /etc/docker/daemon.json:

1
{
2
  "storage-driver": "overlay2",
3
  "features": { "containerd-snapshotter": false }
4
}

Then restart Docker (sudo systemctl restart docker) and re-run nemo-deepagents onboard. This restores the legacy overlay2 driver host-wide, which kills any other running containers. Prefer the auto-fix unless you need the change for unrelated reasons. Switching storage drivers also rebuilds the entire local image graph: previously-pulled images become unusable and Docker re-pulls them on first reference, so expect a cold cache and additional disk usage right after the restart.

OpenShell version above maximum

Each NemoClaw release validates against a range of tested OpenShell versions. If the installed OpenShell version exceeds the configured maximum, nemo-deepagents onboard exits with an error:

✗ openshell <version> is above the maximum supported by this NemoClaw release.
  blueprint.yaml max_openshell_version: <max>

Upgrade NemoClaw to a version that supports your OpenShell release, or install a supported OpenShell version from the OpenShell releases page.

For fresh installs, NemoClaw passes the blueprint range to install-openshell.sh and resolves a compatible published OpenShell release before downloading. If GitHub release metadata is unavailable, the script uses its bundled fallback pin and the post-install gate still enforces the configured range.

Sandbox containers cannot reach the gateway

On native Linux Docker-driver hosts, nemo-deepagents onboard verifies the route that sandbox containers use to reach the OpenShell gateway. If a host firewall blocks that path, onboarding exits with output like:

✗ Sandbox containers cannot reach the gateway at host.openshell.internal:8080.
  A host firewall may be blocking traffic from the OpenShell Docker bridge.

Apply the ufw command printed by onboarding, then rerun onboarding. If the message does not include a subnet, derive it from the OpenShell Docker network:

$
SUBNET=$(docker network inspect openshell-docker --format '{{(index .IPAM.Config 0).Subnet}}')
$
sudo ufw allow from "$SUBNET" to any port 8080 proto tcp
$
nemo-deepagents onboard

Invalid sandbox name

Sandbox names must be lowercase, start with a letter, contain only letters, numbers, and internal hyphens, and end with a letter or number. The CLI rejects names that do not match these rules. It prints a Try: <suggested-slug> recovery line whenever it can derive a valid lowercase, hyphen-separated form from the input, so passing --name MyAssistant reports Try: myassistant and you can rerun with the suggested slug.

Names that collide with global CLI commands are also rejected. Reserved names include onboard, list, deploy, setup, start, stop, status, debug, uninstall, credentials, and help. Using a reserved name would cause the CLI to route to the global command instead of the sandbox.

If the name does not match these rules or is reserved, the wizard exits with an error. Choose a name such as my-assistant or dev1.

Sandbox creation fails on DGX

On DGX machines, sandbox creation can fail if the gateway’s DNS has not finished propagating or if a stale port forward from a previous onboard run is still active.

Run nemo-deepagents onboard to retry. The wizard cleans up stale port forwards and waits for gateway readiness automatically.

GPU setup fails with a placeholder GPU name

On Windows or WSL hosts, some systems report a placeholder display adapter name even when no NVIDIA GPU firmware is present. NVIDIA NIM and GPU-backed sandbox setup require a real NVIDIA GPU. If NemoClaw rejects the detected GPU name during preflight, select a CPU or remote inference provider, or move the setup to a host with a supported NVIDIA GPU and current drivers.

Jetson hosts can still run NemoClaw, but sandbox GPU passthrough is not supported there. If onboarding reports that sandbox GPU passthrough is unavailable on Jetson, rerun onboarding without --sandbox-gpu.

Colima socket not detected (macOS)

Newer Colima versions use the XDG base directory (~/.config/colima/default/docker.sock) instead of the legacy path (~/.colima/default/docker.sock). Some installations expose a top-level Colima socket at ~/.colima/docker.sock. NemoClaw checks all three paths. If neither is found, verify that Colima is running:

$
colima status

Sandbox build is slow or hangs (under-provisioned container runtime)

Default Colima ships with 2 vCPU and 2 GiB of memory, which is not enough headroom for the BuildKit-driven sandbox image build. On macOS Apple Silicon, the build can stall part-way through with no progress and no error, leaving the wizard waiting indefinitely.

Preflight inspects docker info for NCPU and MemTotal and prints a warning when the runtime falls below 4 vCPU or 8 GiB. In interactive onboarding, the warning prompt defaults to abort, so pressing Enter stops the run before the sandbox build reaches the likely stall point. Type y only when you intentionally want to continue on the smaller runtime. Non-interactive onboarding prints the warning and continues. On Colima, raise the resources before re-running onboard:

$
colima stop
$
colima start --cpu 6 --memory 12 --disk 100

On Docker Desktop, raise CPU and memory limits in Settings → Resources, then apply and restart.

To silence the warning when the host is intentionally small, set NEMOCLAW_IGNORE_RUNTIME_RESOURCES=1 before running nemo-deepagents onboard.

Sandbox creation killed by OOM (exit 137)

On systems with 8 GB RAM or less and no swap configured, the sandbox image push can exhaust available memory and get killed by the Linux OOM killer (exit code 137).

NemoClaw automatically detects low memory during onboarding and prompts to create a 4 GB swap file. If this automatic step fails or you are using a custom setup flow, create swap manually before running nemo-deepagents onboard:

$
sudo dd if=/dev/zero of=/swapfile bs=1M count=4096 status=none
$
sudo chmod 600 /swapfile
$
sudo mkswap /swapfile
$
sudo swapon /swapfile
$
echo '/swapfile none swap sw 0 0' | sudo tee -a /etc/fstab
$
nemo-deepagents onboard

Previous onboarding session failed

If a previous nemo-deepagents onboard attempt fails partway through (for example, a provider or inference-setup step reporting an error), NemoClaw records the failure in ~/.nemoclaw/onboard-session.json.

When you re-run the installer, it detects the failed session and does not silently retry it. Silent retry would loop on the same failure if your original choice, such as an unreachable provider, was the cause.

• In an interactive terminal, the installer prompts whether to resume the failed session or start fresh. Press R (or Enter) to retry the same session, or f to discard it and make fresh choices.

• In non-interactive mode (piped curl | bash with NEMOCLAW_NON_INTERACTIVE=1, CI, scripts), the installer refuses and exits with a non-zero status so a scripted re-run cannot loop. You must opt in to one of two paths explicitly:

  Start over with new choices (discards the recorded session and provider/model selection):

  $
  curl -fsSL https://www.nvidia.com/nemoclaw.sh | bash -s -- --fresh

  Or equivalently, via env var. The variable must be set on the bash side of the pipe, not on curl, since only the right-hand process inherits it:

  $
  curl -fsSL https://www.nvidia.com/nemoclaw.sh | NEMOCLAW_FRESH=1 bash

  Retry the same session without re-prompting. This is only useful if the original failure was transient, for example a network blip or a stopped Docker daemon, and not a wrong provider choice:

  $
  nemo-deepagents onboard --resume

As a last resort, you can also delete the session file directly and re-run the installer:

$
rm ~/.nemoclaw/onboard-session.json

Kubernetes namespace not ready

If onboarding fails with Kubernetes namespace not ready, a previous failed or interrupted setup may have left stale OpenShell or NemoClaw state behind. Clean up the failed installation before re-running the installer:

$
nemo-deepagents uninstall --yes
$
curl -fsSL https://www.nvidia.com/nemoclaw.sh | bash

The normal uninstall path keeps user data under ~/.nemoclaw/, including sandbox registry metadata, backups, and saved credentials unless you explicitly remove them. If nemo-deepagents uninstall reports that the local uninstall script is missing, follow the CLI’s security boundary: download the versioned NVIDIA/NemoClaw tag URL that it prints, inspect the script locally, run that local copy, and then retry the installer.

$
curl -fsSLo uninstall.sh <versioned-uninstall-url>
$
less uninstall.sh
$
bash uninstall.sh --yes
$
curl -fsSL https://www.nvidia.com/nemoclaw.sh | bash

Runtime

Reconnect after a host reboot

After a host reboot, the container runtime, OpenShell gateway, and sandbox may not be running. Follow these steps to reconnect.

1. Start the container runtime.

   • Linux: start Docker if it is not already running (sudo systemctl start docker)
   • macOS: open Docker Desktop or start Colima (colima start)

2. Check sandbox state.

   $
   openshell sandbox list

   If the sandbox shows Ready, skip to step 4.

3. Recover the managed gateway (if needed).

   If the sandbox is not listed or the command fails, let NemoClaw recover the managed gateway and sandbox registration:

   $
   nemo-deepagents onboard --resume

   Wait a few seconds, then re-check with openshell sandbox list. On Docker-driver hosts, NemoClaw also looks for OpenShell-labeled sandbox containers when the gateway is healthy but reports the sandbox as missing. It can start a stopped labeled container, or restore the latest GPU-backup sibling container name and start it.

4. Reconnect.

   $
   nemo-deepagents <name> connect

   The gateway usually rotates its SSH host keys across a reboot. connect detects the resulting identity drift, prunes the stale openshell-* entries from ~/.ssh/known_hosts, and retries automatically. You do not need to edit known_hosts by hand or re-run nemo-deepagents onboard in this case.

Sandbox is running an outdated agent version

After upgrading NemoClaw, nemo-deepagents <name> connect and nemo-deepagents <name> status warn if the sandbox is running an older agent version than the current image.

To upgrade the sandbox while preserving workspace state, run:

$
nemo-deepagents <name> rebuild

The rebuild command backs up state, destroys the old sandbox, recreates it with the current image, and restores state. Create a snapshot before rebuilding if you want an additional safety net:

$
nemo-deepagents <name> snapshot create
$
nemo-deepagents <name> rebuild

Sandbox shows as stopped

When status reports sandbox_container_stopped, Docker still has a container for the sandbox, but the container is not running. Use the lightest recovery path first instead of rebuilding immediately.

1. Confirm Docker can still see the labeled container.

   $
   docker ps -a --filter "label=openshell.ai/sandbox-name=<name>"

   If a container is listed, start it:

   $
   docker start <container-name>

2. Run status recovery from the host.

   $
   nemo-deepagents <name> status

   On Docker-driver hosts, status also attempts non-destructive recovery when OpenShell reports the sandbox as missing but Docker still has a stopped openshell.ai/sandbox-name=<name> container or the latest GPU-backup sibling. A successful recovery prints that the sandbox was recovered from Docker and then shows the refreshed OpenShell state.

3. Rebuild only if the sandbox cannot be restarted or status still cannot recover it while the local registry entry exists:

   $
   nemo-deepagents <name> rebuild --yes

   Rebuild recreates the sandbox from recorded metadata and preserves supported workspace and agent state. If the sandbox was intentionally deleted and you want a clean setup, run nemo-deepagents <name> destroy to remove the stale local entry, then run nemo-deepagents onboard.

Sandbox is registered locally but missing from the gateway

After a gateway restart, host reboot, or manual OpenShell cleanup, NemoClaw may still have a local registry entry for a sandbox that the live gateway no longer lists. nemo-deepagents <name> status and nemo-deepagents <name> connect preserve that local registry entry and print recovery guidance instead of deleting it automatically. Run nemo-deepagents <name> rebuild --yes when you want NemoClaw to recreate the sandbox from the recorded metadata, or run nemo-deepagents <name> destroy when you intentionally want to remove the stale entry.

Status shows “not running” inside the sandbox

This is expected behavior. When checking status inside an active sandbox, host-side sandbox state and inference configuration are not inspectable. The status command detects the sandbox context and reports “active (inside sandbox)” instead.

Run openshell sandbox list on the host to check the underlying sandbox state.

Deep Agents

dcode status reports a stale inference route

The managed dcode runtime reads provider and model settings from /sandbox/.deepagents/config.toml. NemoClaw generates that file during onboarding and rebuilds, and Deep Agents provider or model changes require fresh named recreation rather than inference set.

Check the host-recorded route first:

$
nemo-deepagents <name> status

Then connect and compare the in-sandbox identity:

$
nemo-deepagents <name> connect
$
dcode status

If the provider or model does not match the host route, rebuild the sandbox to regenerate config.toml from recorded metadata:

$
nemo-deepagents <name> rebuild

To intentionally switch provider or model, recreate the named sandbox with fresh onboarding:

$
nemo-deepagents onboard --fresh --name <name> --recreate-sandbox

dcode refuses to start because upstream auth state exists

The managed launchers refuse upstream credential state inside /sandbox/.deepagents/.state/auth.json and /sandbox/.deepagents/.state/chatgpt-auth.json. Those files can contain provider credentials or OAuth state that bypasses NemoClaw’s host-owned credential boundary.

Remove the upstream auth state from the sandbox, then start dcode again:

$
rm -f /sandbox/.deepagents/.state/auth.json /sandbox/.deepagents/.state/chatgpt-auth.json
$
dcode status

Do not put provider credentials in /sandbox/.deepagents/.env, project .env files, or Deep Agents config files. Register credentials with NemoClaw or OpenShell on the host so the gateway can inject them at egress.

Managed MCP commands report an older Deep Agents runtime

Deep Agents sandboxes with the older managed MCP v1 runtime must rebuild before mcp add or mcp restart. The rebuild installs the current managed MCP projection path and reconstructs /sandbox/.deepagents/.nemoclaw-mcp.json from the host registry.

$
nemo-deepagents <name> rebuild
$
nemo-deepagents <name> mcp add <server-name> <url>

NemoClaw does not auto-load user-owned /sandbox/.deepagents/.mcp.json or project MCP files into the managed configuration. Use nemo-deepagents <name> mcp ... commands for managed MCP servers that need OpenShell credential replacement and egress policy.

Tavily remains blocked after opt-in

Deep Agents does not have a NemoClaw-managed web-search feature. The Tavily flow only opens Python egress for project code or manually configured tools that call Tavily.

Confirm that the target sandbox has the tavily preset applied:

$
nemo-deepagents <name> policy-list

If it is missing, apply the preset, register the host-side credential, and rebuild so the provider attaches:

$
nemo-deepagents <name> policy-add tavily --yes
$
export TAVILY_API_KEY=tvly-...
$
nemo-deepagents credentials add tavily-search --type tavily --credential TAVILY_API_KEY
$
unset TAVILY_API_KEY
$
nemo-deepagents <name> rebuild

If Tavily is still blocked after rebuild, inspect recent policy denials:

$
nemo-deepagents <name> logs --tail 50

The tavily preset is a managed-Python opt-in. It is process-wide for sandbox Python and is not a dcode-only boundary.

Deep Agents read-only path checks fail

The Deep Agents image keeps the managed Python environment under /opt/venv read-only and leaves /sandbox writable for project and agent state. Writes under /usr, /etc, or /opt/venv should fail, while writes under /sandbox and /tmp should work.

If a read-only path probe reports that protected paths are writable, rebuild with the current NemoClaw image:

$
nemo-deepagents <name> rebuild

If startup reports that Landlock enforcement is unavailable, the Deep Agents sandbox fails closed instead of running with reduced filesystem enforcement. Deep Agents uses compatibility: strict for its managed filesystem policy, so kernels older than 5.13 or VM-backed Docker runtimes without Landlock support can block sandbox creation. Move the sandbox to a Linux kernel and container runtime that support Landlock, then rerun onboarding or rebuild the sandbox.

Git clone fails with a certificate verification error

In networks that inspect TLS, OpenShell injects a proxy CA bundle into the sandbox. Current NemoClaw exports that bundle as GIT_SSL_CAINFO during sandbox startup and persists it for nemo-deepagents <name> connect sessions, so Git can trust the proxy CA. It also forwards standard CA bundle variables for subprocesses, including GIT_SSL_CAPATH, CURL_CA_BUNDLE, and REQUESTS_CA_BUNDLE.

If Git still reports server certificate verification failed, reconnect to the sandbox and check that the CA variables are present:

$
env | grep -E 'SSL_CERT_FILE|GIT_SSL_CAINFO|CURL_CA_BUNDLE|REQUESTS_CA_BUNDLE' || true

grep exits non-zero when it finds no matches, so empty output (with the trailing || true) simply means none of these CA variables are set in the current shell.

If they are missing on an older sandbox, upgrade NemoClaw and run:

$
nemo-deepagents <name> rebuild

A request inside the sandbox fails with CONNECT tunnel failed, response 403

Sandbox outbound network access is denied by default and enforced by the OpenShell proxy. When a request targets a host that no applied policy preset allows, the proxy refuses the tunnel and tools surface only the protocol-level error:

fatal: unable to access 'https://example.com/foo/bar/': CONNECT tunnel failed, response 403
curl: (56) CONNECT tunnel failed, response 403

This is a network-policy denial, not a tool or certificate problem.

When you run a command through nemo-deepagents <name> exec -- ... and it exits non-zero, NemoClaw checks the sandbox audit log for a policy denial recorded after the command started. If it finds one, it appends a short breadcrumb to stderr after the tool’s own output, naming the denied host:port when it can be extracted safely and showing the commands below:

curl: (56) CONNECT tunnel failed, response 403
nemo-deepagents: recent network policy denial detected for example.com:443 inside sandbox 'oc-fresh'.
  The sandbox's egress policy blocked this request; the tool above only saw the proxy's 403.
  See the denied flow:    nemo-deepagents oc-fresh logs --tail 50
  Review applied presets: nemo-deepagents oc-fresh policy-list
  Allow the host:         nemo-deepagents oc-fresh policy-add <preset>
  Silence this hint:      export NEMOCLAW_NO_POLICY_HINT=1

If the log probe fails, no breadcrumb is added. Unsafe endpoint data is omitted from the breadcrumb, and an invalid sandbox name is shown as <name>.

An IPv6 target is named in its RFC 3986 bracketed form:

nemo-deepagents: recent network policy denial detected for [2001:db8::1]:443 inside sandbox 'oc-fresh'.

The tool’s own stdout/stderr bytes and its exit code are left unchanged. The breadcrumb is printed by the host CLI after the command finishes, and only for a genuine failure with a fresh denial. A command that succeeds, or one that fails for an unrelated reason, prints no breadcrumb. Set NEMOCLAW_NO_POLICY_HINT to any non-empty value other than 0 or case-insensitive false (for example, 1, true, TRUE, yes, or YES) to suppress it entirely.

The first interactive nemo-deepagents <name> connect shell also prints a one-line reminder of this denial signature and the logs command below. The reminder is shown once per top-level interactive session, and only when all of these hold: an egress proxy is configured, the shell is interactive with a terminal attached to stderr, and it is a top-level shell (not a nested subshell or pane). Suppress it with NEMOCLAW_NO_POLICY_HINT=1. On OpenShell 0.0.44 or newer the reminder names your real sandbox; on older OpenShell it shows <name> as a placeholder — run nemo-deepagents list to see your sandbox names. If the reported sandbox name contains characters that are not valid in a sandbox name (uppercase letters, underscores, control characters, and similar) or exceeds 63 characters, the reminder shows the <name> placeholder for safety rather than echoing the untrusted value. The reminder is intentionally proactive: the denial itself is surfaced by the OpenShell proxy, so the curl/git error text is left unchanged and the reminder points you to the logs instead.

To see which rule denied the request, read the merged logs from the host:

$
nemo-deepagents <name> logs --tail 50

If the host should be reachable, allow it with a built-in preset or apply a reviewed custom preset file from the host:

$
nemo-deepagents <name> policy-add <preset>

$
nemo-deepagents <name> policy-add --from-file ./my-preset.yaml --yes

Replace <preset> with a real preset name such as github, pypi, or npm. Run nemo-deepagents <name> policy-add with no preset to list the available presets.

Sandbox creation reports a TLS certificate mismatch

If sandbox creation reports a TLS or certificate mismatch, the OpenShell gateway certificate may have changed since the CLI last registered it. Remove the stale local gateway registration and then resume onboarding so NemoClaw refreshes the registration:

$
openshell gateway remove nemoclaw
$
nemo-deepagents onboard --resume

Inference requests time out

Verify that the inference provider endpoint is reachable from the host. Check the active provider and endpoint:

$
nemo-deepagents <name> status

For local Ollama and local vLLM, nemo-deepagents <name> status also prints an Inference line that probes the host-side health endpoint directly. If that line shows unreachable, start the local backend first and then retry the request. For Local Ollama, current releases also print Inference (auth proxy) when a proxy token is available. If the backend is healthy but the auth proxy is unauthorized or unreachable, re-run onboarding so NemoClaw can recreate the proxy token, restart the proxy, and refresh the route.

If the endpoint is correct but requests still fail, check for network policy rules that may block the connection. Then verify the credential and base URL for the provider you selected during onboarding.

If you entered an AWS Bedrock Runtime URL such as https://bedrock-runtime.us-east-1.amazonaws.com in the Other Anthropic-compatible endpoint flow, NemoClaw auto-detects it and routes sandbox traffic through a host-local adapter. Use the raw Bedrock Runtime host, not an Anthropic /v1/messages path, and verify that the model ID or inference profile ID is valid for that region. For auth, export AWS_BEARER_TOKEN_BEDROCK, AWS_PROFILE, or standard IAM environment credentials before onboarding; if you paste a key at the COMPATIBLE_ANTHROPIC_API_KEY prompt, NemoClaw uses it only as the adapter’s Bedrock bearer token. Region errors usually mean the pasted endpoint region, AWS_REGION, AWS_DEFAULT_REGION, or the model/inference profile ID do not match.

For Ollama, vLLM, NIM, and compatible-endpoint inference validation, the default timeout is 180 seconds. The managed NIM startup health wait uses a separate 15-minute (900-second) default and still exits early if the container stops before it becomes healthy. On Docker 29.x or hosts using the containerd image store, managed NIM onboarding resolves and pulls the host-platform image digest when NGC exposes a multi-architecture image index. If you still see NGC repository-format or attestation errors, confirm Docker can run docker manifest inspect for the selected image and that you are logged in to nvcr.io. If large prompts still cause timeouts, increase it with NEMOCLAW_LOCAL_INFERENCE_TIMEOUT before re-running onboard:

$
export NEMOCLAW_LOCAL_INFERENCE_TIMEOUT=300
$
nemo-deepagents onboard

For local Ollama and vLLM, onboarding retries the container reachability check and can fall back to the host-side health check when the local backend is healthy. If Ollama times out during a cold model load, NemoClaw retries once with a 300-second probe budget before failing. If all attempts fail, the error includes container reachability diagnostics such as HTTP status and host gateway resolution.

NEMOCLAW_LOCAL_INFERENCE_TIMEOUT only covers the inference-server validation probe. The post-create readiness wait has its own budget (NEMOCLAW_SANDBOX_READY_TIMEOUT); refer to Sandbox onboard times out with “did not become ready within Ns” for the readiness path.

Sandbox onboard times out with “did not become ready within Ns”

Onboarding ends with:

  Sandbox 'my-assistant' was created but did not become ready within 180s.
  The orphaned sandbox has been removed — you can safely retry.

This is a separate budget from NEMOCLAW_LOCAL_INFERENCE_TIMEOUT. It covers the readiness wait that follows sandbox creation, including in-sandbox boot, OpenClaw start, and policy load. It does not cover the inference probe. The 180-second default fits typical workstations but can be exceeded when:

• The host is building or uploading the sandbox image for the first time (cold caches, slow link).
• The selected model is large (70B+ parameters or 4-bit/8-bit quantisations that take time to memory-map).
• Onboarding runs on a remote VM where image upload to the gateway streams over the network (for example DGX Station first-run installer).

Raise the budget before re-running onboard:

$
export NEMOCLAW_SANDBOX_READY_TIMEOUT=600
$
nemo-deepagents onboard

The variable accepts seconds and applies to the readiness wait only. When the deadline expires, NemoClaw deletes the partially-created sandbox before printing the retry hint, so the next nemo-deepagents onboard starts from a clean state. If readiness still fails after the extended budget, inspect the gateway and sandbox status:

$
openshell sandbox list
$
nemo-deepagents <name> status

Sandbox onboard fails with “entered Error phase before it became ready”

Onboarding ends with:

  Sandbox 'my-assistant' entered Error phase before it became ready (waited up to 180s).

On a fresh onboard the OpenShell gateway can (re)start its supervisor session and re-register the just-created sandbox. During that window openshell sandbox list briefly reports the sandbox in the transient Error phase before it flips to Ready, as seen on DGX Spark when supervisor restart races the sandbox bootstrap.

NemoClaw tolerates a bounded run of consecutive Error polls (default 30 polls / ~60s) so this transient recovers on its own; only Error that persists past the debounce window is treated as terminal. Failed and CrashLoopBackOff are always terminal and fail immediately.

If your host needs a longer window (slower re-registration), raise the debounce; to fail fast on the first Error poll, set it to 1:

$
export NEMOCLAW_SANDBOX_READY_ERROR_DEBOUNCE=60   # tolerate ~120s of transient Error
$
nemo-deepagents onboard

If the failure persists after the debounce, the sandbox is genuinely stuck — inspect the retained diagnostics and gateway state:

$
openshell sandbox list
$
nemo-deepagents <name> status

Landlock filesystem policy blocks sandbox startup

Deep Agents uses strict Landlock compatibility. If the host kernel, Docker VM, or sandbox filesystem mount cannot enforce the managed read-only policy, OpenShell refuses to start the sandbox instead of silently degrading.

Run Deep Agents on a Linux kernel 5.13 or later with a container runtime that exposes Landlock to the sandbox. After moving to a compatible host or runtime, rerun onboarding or rebuild the sandbox:

$
nemo-deepagents <name> rebuild

Sandbox lost after gateway restart

Sandboxes created with OpenShell versions older than 0.0.24 can become unreachable after a gateway restart because SSH secrets were not persisted. Running nemo-deepagents onboard automatically upgrades OpenShell to 0.0.24 or later during the preflight check. After the upgrade, recreate the sandbox with nemo-deepagents onboard.

DNS-backed HTTPS endpoint is not supported

NemoClaw rejects an explicit custom endpoint when it resolves a public HTTPS hostname but cannot pin the same peer address across the downstream OpenShell runtime boundary while preserving TLS SNI and host validation. This can appear during a direct blueprint run, custom-endpoint onboarding, or a host-side config set write.

Use an HTTPS IP-literal endpoint whose certificate is valid for that address. If your deployment permits non-TLS provider traffic, you can instead use a public HTTP endpoint that NemoClaw can rewrite to a DNS-pinned address. Do not bypass the check with a private or internal address or by editing the persisted sandbox config directly. For the full endpoint rules, refer to Inference Options.

Agent cannot reach external hosts through a proxy

NemoClaw uses a default proxy address of 10.200.0.1:3128 (the OpenShell-injected gateway). If your environment uses a different proxy, set NEMOCLAW_PROXY_HOST and NEMOCLAW_PROXY_PORT before onboarding:

$
export NEMOCLAW_PROXY_HOST=proxy.example.com
$
export NEMOCLAW_PROXY_PORT=8080
$
nemo-deepagents onboard

These are build-time settings baked into the sandbox image. Changing them after onboarding requires re-running nemo-deepagents onboard to rebuild the image.

When HTTP_PROXY or HTTPS_PROXY is set on the host, NemoClaw adds localhost, 127.0.0.1, ::1, 0.0.0.0, the container-host aliases host.docker.internal and host.containers.internal, and the managed inference hostname inference.local to NO_PROXY for host-side subprocesses and for the env forwarded into openshell sandbox create. This keeps local Ollama health checks, model pulls, and managed inference traffic from being chained through a corporate or desktop proxy at the sandbox-create boundary, while preserving the proxy for external hosts. Inside the running sandbox, processes continue to use the OpenShell L7 proxy for inference.local so OpenShell’s internal routing, DNS, and audit boundaries stay intact.

Agent cannot reach a host-side HTTP service

When a sandbox needs to call an HTTP service running on the host, use the normal OpenShell network policy path. Expose the service on a host IP address that the OpenShell gateway can reach, create a custom NemoClaw policy preset for that IP and port, and apply it with nemo-deepagents <sandbox> policy-add --from-file. The sandbox request then flows through the OpenShell proxy while NemoClaw preserves the existing live policy entries.

Do not rely on host.docker.internal or host.openshell.internal as a general-purpose host-service path. Those names may appear in the sandbox’s /etc/hosts, but in OpenShell’s sandbox network they are not guaranteed to point at a reachable host gateway. Bypassing the proxy with --noproxy '*' also bypasses network policy enforcement and audit.

First, make sure the host-side service listens on a non-loopback address. For example, a health endpoint on port 50001 should be reachable from the host IP, not only from 127.0.0.1:

$
curl -s http://10.0.0.5:50001/health

Expected output:

1
{"status":"ok"}

Then create a custom NemoClaw preset for the host-side service. Replace 10.0.0.5, 50001, paths, methods, and binaries with the service you want the sandbox to reach:

1
preset:
2
  name: host-memory-api
3
  description: "Host memory API"
4
network_policies:
5
  host_memory_api:
6
    name: host_memory_api
7
    endpoints:
8
      - host: 10.0.0.5
9
        port: 50001
10
        protocol: rest
11
        enforcement: enforce
12
        rules:
13
          - allow: { method: GET, path: "/health" }
14
    binaries:
15
      - { path: /usr/bin/curl }

Apply the preset to the running sandbox with the NemoClaw CLI:

$
nemo-deepagents my-assistant policy-add --from-file ./host-memory-api.yaml

After you apply the policy, retry the request from inside the sandbox without disabling the proxy:

$
curl -s http://10.0.0.5:50001/health

Expected output:

1
{"status":"ok"}

If the request is still denied, check the blocked request in openshell term. The policy binaries list must include the executable path that actually made the request. If the response changes from policy_denied to upstream_unreachable, the policy matched, but the OpenShell gateway could not reach the host IP and port.

Agent cannot reach an external host

OpenShell blocks outbound connections to hosts not listed in the network policy. Open the TUI to see blocked requests and approve them:

$
openshell term

To permanently allow an endpoint, add it to the network policy.

For Deep Agents, use nemo-deepagents <name> policy-add <preset> for built-in presets or nemo-deepagents <name> policy-add --from-file <preset.yaml> for reviewed custom presets.

Ollama auth proxy did not start

NemoClaw keeps Ollama bound to 127.0.0.1:11434 and starts a token-gated reverse proxy on 0.0.0.0:11435 so the sandbox can reach Ollama without exposing it to the local network. If the proxy fails to start, onboarding exits before configuring inference.

Check whether the proxy port is occupied by another process:

$
sudo lsof -i :11435

Stop the conflicting process and re-run nemo-deepagents onboard. The wizard cleans up stale proxy processes from previous runs automatically, so most failures resolve by retrying.

The proxy token is persisted to ~/.nemoclaw/ollama-proxy-token with 0600 permissions. If the file is missing or unreadable after a host reboot, re-running nemo-deepagents onboard regenerates it.

Ollama auth proxy is unreachable from the sandbox

On native Linux Docker-driver hosts, a host firewall can allow the host proxy check but block sandbox traffic to the Ollama auth proxy. When that happens, onboarding exits before it saves the inference route and prints output like:

✗ Sandbox containers cannot reach the Ollama auth proxy at host.openshell.internal:11435.
  A host firewall may be blocking traffic from the OpenShell Docker bridge.

Apply the ufw command printed by onboarding, then rerun onboarding. If the message does not include a subnet, derive it from the OpenShell Docker network:

$
SUBNET=$(docker network inspect openshell-docker --format '{{(index .IPAM.Config 0).Subnet}}')
$
sudo ufw allow from "$SUBNET" to any port 11435 proto tcp
$
nemo-deepagents onboard

Docker Desktop, WSL, and hosts without the OpenShell Docker network use different routing models. In those cases NemoClaw treats an unavailable sandbox-side probe as non-blocking and relies on the regular proxy health check.

host.docker.internal does not reliably reach the host from the sandbox

Configuring an inference provider with a base URL like http://host.docker.internal:11434/v1 does not reliably reach a host Ollama service from inside the OpenShell sandbox. OpenShell runs sandboxes inside a k3s network, where host.docker.internal is not a portable host-service route. Depending on the platform, it may fail DNS resolution or resolve to an internal gateway/bridge address where the host’s port 11434 is not forwarded. The sandbox then sees a DNS failure or connection refused:

$
getent hosts host.docker.internal

Expected output:

172.17.0.1      host.docker.internal host.openshell.internal

$
no_proxy=host.docker.internal curl -v http://host.docker.internal:11434/api/tags

Expected output:

* connect to 172.17.0.1 port 11434 failed: Connection refused

For local Ollama, use the auth-proxy URL that NemoClaw’s “Local Ollama” onboard option configures automatically:

http://host.openshell.internal:11435/v1

host.openshell.internal resolves to the same gateway IP, and the token-gated Ollama auth proxy binds port 11435 there and forwards requests to 127.0.0.1:11434 on the host. If you need a different host service exposed to the sandbox, route it through the OpenShell gateway rather than relying on host.docker.internal. Refer to issue #3136.

Local inference health check resolves to IPv6

Local inference health checks now use 127.0.0.1 instead of localhost. On systems where localhost resolves to ::1 first, older NemoClaw releases could probe the wrong address and report the local backend as unreachable even when it was running. If you see this on a current NemoClaw release, verify that the local backend binds an IPv4 address and not only ::1.

Blueprint run failed

View the error output for the failed blueprint run:

$
nemo-deepagents <name> logs

Use --follow to stream logs in real time while debugging.

DGX Spark

For an end-to-end walkthrough with local inference on DGX Spark, refer to the NVIDIA Spark playbook.

CoreDNS CrashLoop after onboarding

If CoreDNS in the embedded k3s cluster crashes shortly after setup, it is usually because it resolves against 127.0.0.11, which does not route inside the gateway container. Run fix-coredns.sh to point CoreDNS at the container gateway IP instead, then recreate the sandbox.

k3s cannot find a freshly built image

After building a new sandbox image, k3s inside the gateway container sometimes fails to pull it even though the image exists on the host. Remove the gateway registration, stop any leftover host gateway process, then re-run setup.

$
openshell gateway remove nemoclaw
$
sudo pkill -f openshell-gateway
$
nemo-deepagents onboard --resume

GPU passthrough on Spark

GPU passthrough is not CI-tested on DGX Spark. It is expected to work when you pass --gpu and the NVIDIA Container Toolkit is configured. Verify the toolkit is configured by running docker run --rm --runtime=nvidia --gpus all nvidia/cuda:12.8.0-base-ubuntu24.04 nvidia-smi from the host. If nvidia-smi works on the host but onboarding says GPU passthrough was not enabled, install or repair the NVIDIA Container Toolkit, then run sudo nvidia-ctk runtime configure --runtime=docker && sudo systemctl restart docker. If a reusable gateway was previously started without GPU passthrough, NemoClaw replaces it automatically only when no other registered sandboxes depend on it, or when --recreate-sandbox is recreating the only registered sandbox with the same name. When shared gateway cleanup would be unsafe, follow the targeted destroy or gateway-removal commands printed by onboarding.

unresolvable CDI devices nvidia.com/gpu=all during gateway start

Recent NVIDIA Container Toolkit installs configure the Docker daemon for Container Device Interface (CDI) device injection, which OpenShell’s gateway start --gpu then auto-selects. If no nvidia.com/gpu CDI spec has been generated on the host yet, gateway start fails with Docker responded with status code 500: CDI device injection failed: unresolvable CDI devices nvidia.com/gpu=all. The standard NemoClaw installer detects this gap before onboarding, first tries to enable the NVIDIA CDI refresh systemd units, and falls back to generating the spec directly with nvidia-ctk. If you run nemo-deepagents onboard directly, preflight prints the manual remediation instead. The native Linux fix is the same on Docker hosts whose docker info advertises a non-empty CDISpecDirs. On WSL with Docker Desktop, Docker may advertise CDI directories even though --device nvidia.com/gpu=all is not usable from the WSL distro. For that runtime, NemoClaw skips Linux CDI repair and uses Docker’s --gpus compatibility path for sandbox GPU access. This compatibility path can be retired once Docker Desktop exposes usable nvidia.com/gpu CDI specs inside WSL, or once OpenShell no longer requires host-visible CDI specs for Docker Desktop WSL GPU passthrough.

Enable the refresh units, verify they list nvidia.com/gpu entries, then rerun onboarding:

$
sudo systemctl enable --now nvidia-cdi-refresh.path nvidia-cdi-refresh.service
$
nvidia-ctk cdi list
$
nemo-deepagents onboard

If the refresh units are unavailable or do not generate CDI devices, generate the spec directly:

$
sudo mkdir -p /etc/cdi
$
sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml
$
nvidia-ctk cdi list

On WSL with Docker Desktop, confirm Docker Desktop WSL integration is enabled for your distro and verify Docker GPU access from WSL:

$
docker run --rm --gpus all nvcr.io/nvidia/k8s/cuda-sample:nbody nbody -gpu -benchmark

If GPU passthrough is not required on this host, rerun onboarding with --no-gpu instead.

Docker GPU patch failed during sandbox create

On ordinary native Linux Docker-driver hosts with usable CDI, NemoClaw uses OpenShell native GPU injection by default. On Docker Desktop WSL and Jetson/Tegra, NemoClaw uses the compatibility patch by default, which creates the sandbox first and then recreates the OpenShell-managed Docker container with NVIDIA GPU flags. Set NEMOCLAW_DOCKER_GPU_PATCH=1 to force this compatibility path on ordinary native Linux for diagnostics or older host compatibility. If that compatibility patch fails, onboarding leaves the failed sandbox and diagnostic bundle in place so you can inspect the OpenShell and Docker state.

The output includes a cleanup command such as:

$
openshell sandbox delete <sandbox-name>

Fix the NVIDIA Container Toolkit or CDI configuration reported in the diagnostics, clean up the failed sandbox, then rerun onboarding. If you do not need GPU access inside the sandbox, rerun with --no-sandbox-gpu. Set NEMOCLAW_DOCKER_GPU_PATCH=0 to select native OpenShell GPU injection on ordinary native Linux or Jetson/Tegra. Use this override on Jetson/Tegra only for troubleshooting because it bypasses the compatibility path’s /dev/nvmap and /dev/nvhost-* group propagation, so CUDA may not initialize. On Docker Desktop WSL, the patch is required for GPU passthrough. NEMOCLAW_DOCKER_GPU_PATCH=0 is ignored on that runtime, and onboarding logs a warning when it is set there. To skip GPU passthrough entirely on Docker Desktop WSL, rerun with --no-gpu or set NEMOCLAW_SANDBOX_GPU=0.

If sandbox creation fails with CDI device injection failed: unresolvable CDI devices nvidia.com/gpu=all, the OpenShell gateway tried docker create --device nvidia.com/gpu=all and Docker could not resolve the CDI spec. This injection happens inside the gateway, so NEMOCLAW_DOCKER_GPU_PATCH=0 does not bypass it. Rerun with --no-gpu, or set NEMOCLAW_SANDBOX_GPU=0 and resume onboarding.

If onboarding reports OpenShell supervisor did not reconnect to the GPU-enabled container. even though the diagnostic bundle shows the patched container is running and healthy, the supervisor-reconnect wait is treating a transient Error phase (reported while the OpenShell host re-registers the new container) as fatal. The reconnect wait debounces consecutive Error-phase polls before fast-failing, defaulting to fifteen consecutive polls of about 30 seconds in total. Increase the debounce window with NEMOCLAW_DOCKER_GPU_SUPERVISOR_RECONNECT_ERROR_DEBOUNCE if your host needs more time to re-register the patched container, for example slow WSL2 + Docker Desktop setups. Set it to a higher integer such as 30 (about 60 seconds) and rerun onboarding; the value is clamped to a minimum of 1. If reconnect still fails after the GPU patch, NemoClaw attempts to restore the pre-patch CPU container before exiting. When rollback succeeds, the output says the pre-patch sandbox was restored. When rollback fails, the error says rollback failed and the pre-patch container was not restored, so inspect Docker state before retrying.

pip install fails with a system-packages error

Recent Ubuntu releases (including DGX Spark’s Ubuntu 24.04) mark the system Python install as externally managed, so pip install without a virtual environment fails. Use a venv instead. Avoid --break-system-packages unless you understand the risk, since it can break host tooling.

$
python3 -m venv ~/.venvs/nemoclaw
$
source ~/.venvs/nemoclaw/bin/activate
$
pip install ...

Port 3000 conflict with AI Workbench

NVIDIA AI Workbench’s Traefik proxy binds ports 3000 and 10000. If you run other services on Spark that expect port 3000, bind them to a different port.

Windows Subsystem for Linux

For environment setup steps, refer to Windows Prerequisites.

wsl --install --no-distribution returns Forbidden (403)

Check your network connectivity. If you are behind a VPN, try reconnecting or switching to a different network. If your network or Windows image blocks the online WSL installer, install WSL manually with Microsoft’s offline install guidance. Download the latest official WSL .msi package from the Microsoft WSL releases page, choose the matching .x64.msi or .arm64.msi, install it, reboot if Windows requests it, then rerun wsl --status.

Bootstrap says “Windows Subsystem for Linux is not fully installed”

The bootstrap script checks wsl --status before it installs or opens Ubuntu. If Windows reports that the WSL runtime is not installed, the script attempts wsl --install --no-distribution automatically. If the repair command succeeds and WSL reports that the changes require a reboot, reboot and let the bootstrap resume after sign-in. If the repair command succeeds but WSL still cannot be verified and the output does not request a reboot, follow the printed repair guidance instead of rebooting by default. If the repair command fails, follow the printed repair steps. If the repair command returns Forbidden (403) or remains blocked, install WSL manually with Microsoft’s offline install guidance. Download the latest official WSL .msi package from the Microsoft WSL releases page, choose the matching .x64.msi or .arm64.msi, install it, reboot if Windows requests it, then rerun the bootstrap script. Use the same repair flow if the bootstrap says “Windows Subsystem for Linux could not be verified” and reports a nonzero wsl --status exit code.

Bootstrap says “Windows reports that WSL 2 cannot start yet”

The bootstrap script attempts wsl --install --no-distribution automatically when wsl --status reports that WSL 2 cannot start. If the repair command succeeds, reboot when prompted and let the bootstrap resume after sign-in. If the message persists after repair and reboot, enable virtualization in firmware and confirm that the Virtual Machine Platform optional component is enabled. Manual WSL installation only helps when the WSL runtime is missing or the online installer is blocked.

wsl -d Ubuntu says “There is no distribution with the supplied name”

The Ubuntu package was installed with --no-launch but never registered, or Windows finished the install command before the distribution appeared in wsl -l. When this happens during the NemoClaw bootstrap, the script prints a sanitized WSL install output block. PowerShell transcript headers, footers, temporary transcript paths, and status-file paths are redacted before display so you can paste the useful WSL output into a bug report with less local machine metadata.

If the sanitized output says a reboot is required, reboot and rerun the bootstrap. If it does not request a reboot, register the distro manually or reinstall without --no-launch:

$
wsl --unregister Ubuntu
$
wsl --install -d Ubuntu

docker info fails inside WSL

Confirm that Docker Desktop is running and that WSL integration is enabled for Ubuntu (Settings > Resources > WSL integration). Then restart WSL:

$
wsl --shutdown
$
wsl -d Ubuntu
$
docker info

Windows-host Ollama is installed but not shown during onboarding

When NemoClaw runs inside WSL, it checks both the Windows-host Ollama HTTP endpoint and the Windows ollama.exe process. If Ollama is installed but the daemon is not reachable through host.docker.internal:11434, the wizard should still offer a start or restart action.

If the Windows-host option does not appear, confirm that PowerShell interop is enabled in WSL and that Windows can locate Ollama:

$
powershell.exe -NoProfile -Command "Get-Process ollama -ErrorAction SilentlyContinue"

If the process is missing, start Ollama from Windows and rerun onboarding. If the process exists but the endpoint is unreachable, use the restart action when the wizard offers it, or restart Ollama from Windows with OLLAMA_HOST=0.0.0.0:11434.

Ollama inference fails or hangs in WSL

Ollama configures context length based on your hardware. On some GPUs (for example RTX 3500), the default context length is not sufficient for OpenClaw. During onboarding, NemoClaw raises loaded-model context lengths below 16384 to 16384 when NEMOCLAW_CONTEXT_WINDOW is unset. Set the variable manually when you need a different value or when you run Ollama outside the managed onboarding path. Force a larger context length:

$
pkill -f 'ollama serve'
$
OLLAMA_CONTEXT_LENGTH=16384 ollama serve

Verify that Ollama inference works:

$
echo "Hello" | ollama run <model-id>

Replace <model-id> with the model you selected during onboarding (for example qwen3.5:4b).

If ollama serve fails with Error: listen tcp 127.0.0.1:11434: bind: address already in use, check whether Ollama is configured for automatic startup:

$
sudo systemctl status ollama

If it is active, stop it first, then start with the custom context length:

$
sudo systemctl stop ollama
$
OLLAMA_CONTEXT_LENGTH=16384 ollama serve

For additional troubleshooting, refer to the Windows Setup page.

Podman

Podman is not a tested runtime. OpenShell officially documents Docker-based runtimes only. If you encounter issues with Podman, switch to a tested runtime (Docker Engine, Docker Desktop, or Colima) and rerun onboarding.