ClawdBot Hosting & Deployment: Local, VPS, AWS & Always-On Setup
How to keep ClawdBot running reliably: local vs cloud tradeoffs, home lab tips, budget VPS options, security for remote access, and always-on operation.
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ClawdBot Field Guide is an independent, third‑party site that curates practical explanations from the included article set. This page is a topic hub built from multiple focused write-ups, so you can read end-to-end or jump directly to the subsection you need.
If you’re new, skim the table of contents first. If you’re evaluating an implementation or making a purchase decision, pay attention to the tradeoffs and check the references at the end of each subsection.
Below: 5 subsections that make up “ClawdBot Hosting & Deployment: Local, VPS, AWS & Always-On Setup”.
Local vs Cloud Deployment: Which Should You Choose?
ClawdBot can run on your own machine or on a cloud VPS. The right choice depends on one question: do you want your assistant to be available only when your computer is on, or truly 24/7?
Local deployment (laptop / home server)
Best for:
- fast experimentation and iteration
- maximum privacy and minimal exposure
- workflows tied to your local files and devices
Tradeoffs:
- availability depends on your machine being awake
- remote access requires extra setup (VPN/tunnel)
Cloud deployment (VPS)
Best for:
- always-on assistants and scheduled jobs
- consistent uptime and stable networking
- separating your “assistant server” from your daily computer
Tradeoffs:
- you now operate a server (updates, monitoring, backups)
- security posture matters more (treat it like any internet-connected service)
A sensible migration path
- Start local until you have one workflow you use daily.
- Move to a small VPS for 24/7 only after you know it’s worth it.
- Keep remote access private (VPN) and tighten pairing/allowlists.
References
Home Lab Deployment
Running ClawdBot in a home lab gives you the “always-on” benefits of a server while keeping everything under your physical control. It’s a great middle ground: more reliable than a laptop, often cheaper than cloud long-term, and easier to integrate with local devices (NAS, Home Assistant, printers, local LLM rigs).
Home lab goals (keep them realistic)
For most users, the winning setup is:
- one small machine that stays on 24/7
- a secure way to reach it remotely (VPN)
- automated restarts and basic monitoring
You don’t need Kubernetes to get value.
Recommended deployment pattern
- Dedicated host: run ClawdBot on a machine that isn’t constantly being rebooted for experiments.
- Separate identities: use a dedicated OS user for ClawdBot and lock down file permissions.
- Private networking: expose the gateway only on your LAN or VPN; avoid public ports.
- Backups: back up state/memory so a disk failure doesn’t erase your assistant’s context.
Common pitfalls
- Mixing personal files and “automation” files without boundaries
- Over-exposing the gateway to the internet
- Turning on too many tools before you’ve set approvals and allowlists
References
Budget Cloud Hosting ($5-20/Month)
If you want ClawdBot to run 24/7, a small VPS is often the simplest path. In the $5–$20/month range, you can get a stable Linux box that runs the gateway continuously and handles scheduled jobs. The key is to keep the deployment boring: minimal services, private access, and clear backups.
What “budget hosting” is good for
- always-on messaging (respond even when your laptop is asleep)
- scheduled tasks (briefings, checks, monitoring)
- separating work/personal automation from your daily machine
What it’s not good for
- heavy local models (unless you pay for GPU instances)
- large-scale scraping or high-volume automation (you’ll hit limits quickly)
A safe baseline setup
- Create a non-root user and update the system.
- Install ClawdBot and run the onboarding flow.
- Put the gateway behind a private access layer (VPN) and tighten pairing/allowlists.
- Run the gateway under a supervisor (systemd/pm2) so it restarts after reboots.
- Back up state/memory regularly.
References
Remote Access & Security
Remote access is where self-hosted assistants can go wrong. The gateway is effectively a “control plane” for tools: if someone can reach it, they may be able to trigger actions. The goal is simple: make remote access private by default and make actions reviewable by design.
The safest approach: private networking
Instead of exposing the gateway publicly, prefer:
- a VPN (e.g., Tailscale)
- SSH tunneling for occasional admin tasks
- strict allowlists and pairing so only approved chats/users can interact
This keeps the assistant usable from anywhere without making it an internet-facing service.
Hardening checklist
- Keep the gateway bound to localhost when possible.
- Require pairing/approval flows for new chats/users.
- Enable approvals for sensitive tools (browser, exec, file writes).
- Store credentials with tight file permissions.
- Monitor logs and rotate tokens/keys if you suspect leakage.
References
Background Service & Always-On Operation
ClawdBot becomes dramatically more useful when it’s always available: scheduled jobs run on time, messages get answered quickly, and automation doesn’t depend on your laptop being awake. Achieving “always-on” is mostly an operations problem: keep the gateway running, restart on failure, and keep access secure.
The core requirements
- A stable host: home server or VPS
- A process supervisor: systemd/launchd/pm2/Docker (pick one)
- Private access: VPN or strict network boundaries
- A backup plan: state and memory should be recoverable
Operating tips
- Start with one agent and one channel; expand only after it’s stable.
- Add monitoring later (uptime pings, log alerts) once you know what “normal” looks like.
- Treat upgrades like any other service change: read notes, test, then deploy.
References
Related guides
These pages cover adjacent questions you’ll likely run into while exploring ClawdBot:
- Installation & setup — Start-to-finish onboarding and first integration.
- Features & capabilities — What ClawdBot can do day-to-day.
- Security & privacy — Hardening and threat model.
- Pricing & costs — Budgeting for model + hosting.
- Troubleshooting — Fix common problems fast.