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Yes. NanoClaw can run on a Linux VPS as an always-on, self-hosted AI agent because its documented runtime supports Linux and launches each agent session inside an isolated Docker container. A VPS is technically suitable when you have administrative access to install Docker Engine and the required Node.js tooling, persistent storage for SQLite data and workspaces, and a way to secure the host.
The important qualification is that NanoClaw publishes no official minimum vCPU, RAM, disk, bandwidth, concurrency, uptime, or provider requirement. You must size the server around your number of active sessions, scheduled jobs, message channels, logs, and backup policy, then validate it under your own workload.
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NanoClaw is a self-hosted personal AI agent whose host process routes messages and coordinates isolated agent sessions. The official architecture uses a Node host, an inbound SQLite queue, a per-session container, and an outbound queue that returns responses to the connected channel.
Each agent group has its own workspace and memory. Sessions in the same group can share those resources, while separate groups remain separated. That arrangement makes a VPS useful for an always-on deployment: the host can receive messages, run scheduled tasks, maintain workspaces, and start containers without relying on a personal computer staying awake.
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NanoClaw’s official website describes the core behavior this way:
“Every agent session runs in an isolated Docker container on macOS, Linux, or Windows through WSL2.”
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Supported uses include multi-channel messaging, scheduled tasks, web access, selectable model providers, and per-agent workspaces. A VPS does not change those capabilities; it changes where the host and its Docker runtime operate.
Can NanoClaw run on a Linux VPS?
Yes, Linux is the most direct VPS target because NanoClaw’s documented Linux path uses Docker Engine rather than a desktop virtualization layer. You need root or equivalent administrative access, a supported Node.js and pnpm toolchain, and permission to run and manage containers.
| Component | Documented requirement | Deployment implication |
|---|---|---|
| Operating system | macOS or Linux; Windows through WSL2 | Use a Linux VPS to avoid adding a WSL2 layer to a typical server deployment. |
| Node.js | 22.23.4 or newer, 24.22.1 or newer, or 26.12.1 or newer | Check the repository before installation because supported versions can change. |
| Package manager | pnpm 10 or newer | Install and verify pnpm on the host before running the project setup. |
| Container runtime | Docker Desktop on macOS or Windows; Docker Engine on Linux | The VPS must permit Docker Engine, container networking, and the required mounts. |
| Setup and channel skills | Claude Code | Use it where the project documentation requires it for setup, customization, or channel skills. |
Run local checks such as node --version, pnpm --version, and docker version after installation. The displayed versions should satisfy the current repository documentation, not merely the versions shown above, because the project labels these requirements as subject to change.
How do I host NanoClaw on a VPS?
Use this sequence to turn a clean Linux server into a maintainable NanoClaw host. The exact package-install commands and project commands belong to the current NanoClaw and Docker documentation; do not substitute an old command set for the version you are deploying.
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1. Choose a server with administrative control
Select a Linux VPS that gives you root or equivalent privileges, persistent local storage, firewall controls, and a recovery mechanism such as snapshots or provider console access. Confirm that the provider does not prohibit Docker, container networking, or the mounts NanoClaw needs.
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Keep the server in a region with acceptable latency to your messaging services and model providers. Review outbound-bandwidth pricing as well as the headline monthly price: agent web access, media, logs, and provider traffic can make egress a material cost.
2. Prepare durable storage
Reserve persistent disk for the NanoClaw checkout, SQLite session databases, group workspaces, logs, and backups. Treat the VPS disk as operational data, not as your only copy. Snapshot retention and restore behavior differ by provider, so test a restore before you rely on it.
3. Harden administration before exposing the agent
Create a non-root administrative account, use key-based SSH authentication, and restrict SSH to trusted addresses or a private network when possible. Apply operating-system security updates, enable a host firewall, and avoid publishing management interfaces or Docker sockets to the public internet.
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4. Install and verify the runtime
Install Docker Engine for the Linux distribution, then install a supported Node.js release and pnpm 10 or newer. Verify all three tools with their version commands and confirm that the account used for deployment can perform the required Docker operations without granting unnecessary access to unrelated users.
5. Obtain NanoClaw and follow its current setup flow
Use the project repository’s current instructions to check out NanoClaw, install dependencies, and complete its setup. The documented process uses Claude Code for setup or customization and for channel skills. Keep the checkout and configuration under a directory included in your backup plan.
Do not copy API keys into source files or container images. Use the credential mechanism described by NanoClaw and keep secrets in the host-side configuration intended for that mechanism.
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6. Configure groups, channels, and providers deliberately
Start with one test group and one messaging channel. Define which workspace and memory that group may use, then add additional groups only when you understand the sharing boundary. Select the model provider and web-access behavior required for the workload, and document every directory you choose to mount.
7. Validate isolation and message flow
Send a test message through the inbound channel and verify that the host writes it to the inbound queue, starts the expected session container, and returns the response through the outbound queue. Confirm that a second group cannot read the first group’s workspace or memory. Check that credentials are not visible inside the agent container and that only intended mounts are present.
8. Put operations on a schedule
Monitor host disk usage, memory, CPU, container restarts, queue growth, and provider errors. Back up SQLite databases and workspaces on a recurring schedule, retain more than one backup generation, and rehearse recovery on a separate location. Apply Docker and operating-system updates during a maintenance window, then repeat the message-flow and isolation tests.
What VPS specs does NanoClaw need?
NanoClaw’s official materials do not publish a minimum vCPU count, RAM amount, disk size, bandwidth allowance, maximum sessions, or concurrency figure. Any article or provider page presenting a universal numeric minimum is making a claim beyond the documented requirements.
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- Concurrent sessions: More simultaneously active containers increase CPU and memory pressure.
- Message volume: Busy channels create more queue activity and more responses to retain in logs or databases.
- Scheduled jobs: Overlapping jobs can produce short bursts even when interactive traffic is light.
- Workspace size: Large files, browser artifacts, and long-lived memory increase persistent-storage use.
- Web and media access: Downloads and uploads affect disk, CPU, and outbound bandwidth.
- Backup retention: Multiple SQLite, workspace, and log generations require additional capacity beyond the live checkout.
- Provider location: Network latency and egress pricing can matter more than raw CPU for an agent that relies on remote model APIs.
A sensible sizing method is to begin with a plan that leaves observable headroom, measure CPU, memory, disk, and queue behavior during your busiest expected period, and increase limits before the host starts swapping or dropping work. Because no authoritative NanoClaw benchmark exists, this measurement is an operational decision rather than a published specification.
Is NanoClaw secure enough for a public server?
NanoClaw provides meaningful application-level isolation, but a public VPS is only as secure as the host administration around it. Its security document describes non-root agent containers, explicit mounts, per-session isolation, and a credential gateway that keeps real API credentials out of containers.
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| Security feature | Documented behavior | Operator responsibility |
|---|---|---|
| Agent identity | Agent containers run as non-root | Keep the host, Docker Engine, and deployment account patched and tightly permissioned. |
| Filesystem access | Mounts are explicit | Mount only the directories a group needs; review every mount after configuration changes. |
| Session separation | Sessions are isolated in containers; groups have separate workspaces and memory | Test that group boundaries match your data-sharing policy. |
| Credential handling | A gateway keeps real API credentials out of containers | Protect the host-side gateway configuration and rotate credentials if the host or account is exposed. |
| Egress control | An internal Docker network can be used for lockdown; NANOCLAW_EGRESS_LOCKDOWN=false by default |
Enable and test lockdown when outbound destinations must be restricted, while allowing only required services. |
| Resource limits | CPU and memory limits are unset unless configured | Set container or host limits if one workload could exhaust shared resources. |
Do not interpret container isolation as a replacement for firewall rules, SSH hardening, backups, Docker-daemon protection, or provider-account security. A malicious or compromised process that reaches the host or Docker control plane can bypass application-level boundaries. Public exposure should therefore be minimized: keep administration private, permit only the network paths required by your channels and providers, and inspect logs for unexpected container creation or outbound traffic.
How should I compare Docker VPS options for NanoClaw?
There is no NanoClaw-endorsed provider and no published VPS benchmark. Compare infrastructure capabilities rather than marketing labels, and confirm each point in the provider’s current plan and acceptable-use documents.
| Comparison axis | Questions to answer |
|---|---|
| Docker support | Can you install Docker Engine, use required container networking, and create the mounts NanoClaw needs without prohibited privileged features? |
| Compute headroom | What vCPU and RAM limits apply, and can the plan be resized as active sessions or scheduled jobs grow? |
| Storage | Is the disk SSD or NVMe, how does persistent-volume performance behave, and are snapshots consistent with your backup plan? |
| Network | Which regions, IPv4 and IPv6 options, bandwidth allowances, and egress prices fit your channels and model providers? |
| Security controls | Are firewalls, private networking, DDoS controls, console access, and account-level multifactor authentication available? |
| Recovery | How quickly can you restore a snapshot, replace a failed instance, or reach a recovery console? |
| Operations | Are billing, support response, data-center jurisdiction, and API permissions clear enough for a production service? |
These are decision criteria, not NanoClaw performance guarantees. A lower-cost plan may be adequate for a lightly used personal agent, while a multi-group deployment may need resize options, faster storage, stronger network controls, and more deliberate backup retention.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What can go wrong on a NanoClaw VPS?
Most failures fall into a few recognizable categories. Diagnose the layer first instead of immediately increasing the server size.
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Containers do not start
Check Docker Engine health, the deployment user’s permissions, image availability, and the host’s free disk space. A VPS policy that blocks container networking or required mounts can be incompatible even when Docker appears installed.
Messages remain queued
Inspect the host process, inbound and outbound queue activity, provider credentials, and channel connectivity. A growing queue can indicate a stopped host, a provider outage, or a session that repeatedly crashes.
One group sees the wrong files
Review explicit mounts and group workspace assignments. Re-run an isolation test after every configuration change; shared host directories can defeat the separation you intended.
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The host runs out of memory or CPU
Look for overlapping scheduled jobs, too many active containers, large web tasks, or absent resource limits. Add limits and stagger jobs before resizing, then confirm that limits do not terminate legitimate work.
A restore appears incomplete
Verify that backups included SQLite databases, workspaces, configuration, and any required secrets or recovery material. A snapshot of only the source checkout may omit the state that makes an agent group useful.
Should you host NanoClaw on a VPS?
A VPS is a strong fit when you want continuous availability, can administer Linux and Docker, and are comfortable owning updates, network policy, secrets, monitoring, and recovery. It is less suitable if you cannot maintain a server or if your provider forbids the Docker features the deployment requires.
Choose Linux rather than a Windows VPS unless you have a specific reason to operate through WSL2. Start with a small, observable workload, prove queue delivery and group isolation, and increase capacity from measured usage rather than an invented minimum. NanoClaw’s official website currently displays more than 31,000 GitHub stars (accessed October 26, 2026), but that popularity indicator says nothing about VPS performance, reliability, or security.
The practical decision is therefore operational: select a Docker-capable Linux host with durable storage and recovery controls, secure the host as carefully as the agent, and validate the exact channels, providers, and concurrency you plan to run.
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Can NanoClaw share a VPS with other Docker services?
It can, provided the host has enough headroom and the services use deliberately separated networks, volumes, users, and firewall rules. Reserve capacity for NanoClaw’s session bursts and make sure another container cannot access its Docker socket, workspaces, or credential configuration.
Does NanoClaw require a GPU on the VPS?
The documented NanoClaw requirements do not list a GPU, and no official GPU benchmark is published. Whether you need one depends on whether your selected model provider runs remotely or whether you are adding a separate local inference stack with its own hardware requirements.
Do I need a static IP address for NanoClaw?
NanoClaw’s published platform requirements do not state a static-IP requirement. Your need for a stable address depends on the channels, webhooks, firewall allowlists, and provider integrations you configure, so verify those requirements individually before choosing a plan.
How often should NanoClaw backups be tested?
Set a recurring restore exercise that matches the importance of the agent, rather than assuming a successful snapshot is recoverable. Restore SQLite data, workspaces, configuration, and required secrets in an isolated location, then send a test message and verify group boundaries.
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