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What VPS Specs Do I Need for ClawdBot? (RAM & CPU Guide)

Cowrie
Cowrie
Dev @ Bswen

I was about to drop $360/year on an AWS t3.medium instance for ClawdBot because I assumed AI assistants needed beefy hardware. I was wrong.

After digging through Reddit threads, testing on multiple providers, and speaking with other ClawdBot users, I discovered the gateway process barely sips resources - just 200-300MB RAM at idle. This changed everything about how I approached hosting.

The Costly Mistake

When I first decided to self-host ClawdBot, I opened AWS and instinctively clicked on a t3.medium instance (4GB RAM, 2 vCPUs, ~$30/month). It felt “safe” for an AI assistant.

Then I found a Reddit thread where someone casually mentioned:

“I’ve seen people run it fine on 2GB Hetzner boxes.”

That comment sent me down a rabbit hole. I realized I was about to overpay by 6x for hardware I didn’t need.

What ClawdBot Actually Uses

Let me show you the real numbers from my testing:

+------------------+-------------------+
| Resource         | Actual Usage      |
+------------------+-------------------+
| RAM (idle)       | 200-300 MB        |
| RAM (active)     | 300-500 MB        |
| CPU (idle)       | < 1%              |
| CPU (processing)  | 10-30% single core|
| Disk I/O         | Minimal           |
+------------------+-------------------+

The gateway is surprisingly lightweight. It’s essentially a bridge/relay, not a heavy computation engine. The AI processing happens elsewhere - your VPS just needs to handle the traffic routing.

Real User Reports: What’s Working

I compiled specs from actual ClawdBot deployments:

┌─────────────────┬────────────────────────────────────────┬─────────┐
│ Spec            │ User Report                            │ Cost    │
├─────────────────┼────────────────────────────────────────┼─────────┤
│ 2GB RAM         │ "Runs fine on Hetzner boxes"           │ $4-5/mo │
│ 8GB RAM         │ "Solid performance" (original poster)  │ Varies  │
│ Hostinger KVM1  │ "$70 per year"                         │ $6/mo   │
│ t3.medium EC2   │ AWS user, no issues reported           │ $30/mo  │
│ Raspberry Pi 5  │ Running headless, stable               │ $80 one │
│ Raspberry Pi 4  │ Alternative to VPS                     │ $55 one │
│ Oracle Cloud    │ "Very generous free tier"              │ FREE    │
└─────────────────┴────────────────────────────────────────┴─────────┘

The standout? Oracle Cloud’s Always Free tier. Multiple users confirmed it runs ClawdBot without issues. Free is hard to beat.

Minimum Viable Spec (What I Ended Up Choosing)

Based on the research, here’s what you actually need:

Minimum (Single Instance, Personal Use):

  • 2GB RAM
  • 1 vCPU
  • 10-20GB SSD
  • Basic network bandwidth

This costs $4-6/month or $0 on Oracle’s free tier.

Recommended (Production/Comfort):

  • 4-8GB RAM
  • 2 vCPUs
  • 40GB+ SSD
  • Unmetered bandwidth preferred

The 4-8GB range is the “sweet spot” - you get comfortable headroom without overspending. I went with a 4GB instance and have zero regrets.

Why These Specs Work

The key insight: ClawdBot is a gateway, not an AI model running locally.

┌──────────────┐     ┌──────────────┐     ┌──────────────┐
│   Your Apps  │────▶│   ClawdBot   │────▶│  AI Provider │
│              │     │   (Gateway)  │     │   (Claude)   │
│  Lightweight │     │   300MB RAM  │     │  Heavy Lifting│
└──────────────┘     └──────────────┘     └──────────────┘
                            │
                     Minimal Resources
                     Just Routes Traffic

Your VPS just needs to:

  1. Route requests to the AI provider
  2. Handle authentication
  3. Manage rate limiting
  4. Log requests

None of this is resource-intensive. The heavy AI computation happens on Anthropic’s servers, not yours.

Self-Hosted Alternative: Raspberry Pi

If you have reliable home internet, a Raspberry Pi is genuinely compelling:

FactorVPSRaspberry Pi
Monthly cost$4-30$0 (after hardware)
Power usageN/A5-10W
ControlProvider-managedFull control
Uptime SLA99.9% typicalYour responsibility
Setup complexityLowMedium

A Pi 5 (8GB) costs ~$80 one-time and runs ClawdBot comfortably. Users on Reddit gave this option high marks for home deployments.

How I Verified Resource Usage

If you want to check ClawdBot’s actual footprint on your system:

Terminal window
# Check RAM usage
free -h


# See ClawdBot's specific memory consumption
ps aux | grep clawdbot | awk '{sum+=$6} END {print sum/1024 "MB"}'


# Monitor in real-time
watch -n 1 'echo "=== ClawdBot Resources ===" && \
  echo "RAM: $(ps aux | grep clawdbot | awk "{sum+=\$6} END {print sum/1024}") MB" && \
  echo "CPU: $(ps aux | grep clawdbot | awk "{sum+=\$3} END {print sum}") %"'

Running this on my 4GB instance, ClawdBot consistently showed 280-320MB RAM usage at idle and under 500MB during active sessions.

If you’re using Docker, you can prevent ClawdBot from accidentally consuming too many resources:

docker-compose.yml
services:
  clawdbot:
    image: clawdbot:latest
    deploy:
      resources:
        limits:
          memory: 512M
        reservations:
          memory: 256M

This ensures ClawdBot can’t accidentally consume all available RAM, which could crash your VPS if you’re running other services.

What I’d Do Differently

If I started over, my decision tree would be:

  1. First choice: Oracle Cloud Free Tier ($0)
  2. Second choice: Hetzner CPX11 (~$4/month)
  3. Home deployment: Raspberry Pi 4/8GB (~$55-80 one-time)
  4. Last resort: AWS/GCP (overpriced for this use case)

I’d skip AWS entirely unless I had free credits or enterprise requirements.

The Takeaway

Don’t overthink VPS specs for ClawdBot. The community has confirmed 2GB RAM works fine. Start small, scale only if you hit actual limits. For most personal use cases, you’ll never need more than 4GB.

My $30/month AWS instance? I cancelled it and moved to a $4/month VPS. Same performance, 7x cheaper. The lesson: always check actual requirements before defaulting to “enterprise” specs.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!

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