
Compare every way to deploy and host OpenClaw — from free cloud tiers and $5/month VPS plans to dedicated Mac Minis and fully managed services. Find the right setup for your budget and technical comfort level.
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| Name | Category | Cost | Ease | Specs | Pros | Cons | Vote | Score |
|---|---|---|---|---|---|---|---|---|
| Native Install (Your Machine) | Local | $0 + API fees | Easy | Any machine with Node.js 22+ | Zero network latency, everything local, no recurring hosting costs. Fastest way to try OpenClaw (~15 min setup) | Not always-on (stops when machine sleeps). Security risk of giving AI agent access to personal files | 0 | |
| Docker (Your Machine) | Local | $0 + API fees | Medium | Docker Desktop required | Filesystem isolation, reproducible environment, safer than native install | Still bound to machine uptime. Slightly more complex setup | 0 | |
| Raspberry Pi 5 (8GB) | Local Hardware | ~$120 one-time + $0.50-1/mo electricity | Medium | 8GB RAM, ARM CPU, SD card storage | Physical sandbox — if agent goes rogue, blast radius limited to a $60 microcomputer. Always-on at minimal power (5-10W) | Cannot run local LLMs meaningfully. Cloud API only | 0 | |
| Mac Mini M4 (16GB) | Local Hardware | ~$500-640 one-time + ~$3/mo electricity | Medium | M4 chip, 16GB unified memory | Community darling. Runs 24/7, full data sovereignty, can run small local models | Initial hardware investment. Need HDMI dummy plug for headless operation | 0 | |
| Mac Mini M4 Pro (64GB) | Local Hardware | ~$2,000 one-time + ~$3/mo electricity | Medium | M4 Pro chip, 64GB unified memory | Can run 32B local models at 10-15 tok/s via Ollama. Full privacy, zero API costs possible | Significant upfront cost. You handle power outages, updates | 0 | |
| Oracle Cloud Free Tier | VPS | $0/mo + API fees | Hard | 4 ARM CPUs, 24GB RAM, 200GB storage | Completely free. 4 ARM CPUs, 24GB RAM, 200GB storage — best free option by far | Capacity often limited (keep trying regions). Idle instances may be reclaimed. Requires CLI comfort | 0 | |
| Contabo VPS S | VPS | $4.95/mo + API fees | Medium | 4 vCPU, 8GB RAM, 100GB NVMe | Best value for money. Includes OpenClaw pre-installed option. EU data centers | Requires SSH and command-line comfort. Self-managed security | 0 | |
| Hetzner CX22 | VPS | $5-7/mo + API fees | Medium | 2 vCPU, 4GB RAM | Runs ~50% cheaper than DigitalOcean. Excellent EU network | No one-click option but well-documented setup. Add ~20% for snapshots/backups | 0 | |
| DigitalOcean Droplet | VPS | $20-24/mo + API fees | Easy | 2 vCPU, 4GB RAM | One-click marketplace deploy. Security-hardened with firewall rules, automatic HTTPS. Most polished VPS option | More expensive than budget VPS providers | 0 | |
| Vultr Cloud Compute | VPS | $12-24/mo + API fees | Medium | 2 vCPU, 4GB RAM | 32+ data center locations worldwide | No one-click OpenClaw install yet — manual setup required | 0 | |
| Linode (Akamai) | VPS | $12-24/mo + API fees | Medium | 2 vCPU, 4GB RAM | Flat, predictable pricing. Good reliability | No one-click deploy. Manual setup required | 0 | |
| AWS EC2 | VPS | $25-40/mo + API fees | Hard | 2 vCPU, 4GB RAM (t3.medium) | AWS Graviton (ARM) is 20% cheaper than x86. Massive ecosystem | Complex pricing. Free tier (t2.micro) technically works but struggles | 0 | |
| Railway | PaaS | $5-10/mo | Easy | Managed compute | One-click deploy template. Web-based setup wizard. Free tier available | Pay-as-you-go pricing can be unpredictable | 0 | |
| Fly.io | PaaS | $5-15/mo | Medium | Managed compute | Persistent storage, automatic HTTPS, global low-latency regions. Official OpenClaw docs support | Slightly more setup than Railway | 0 | |
| Render | PaaS | $7-15/mo | Easy | Managed compute | Infrastructure as Code with YAML. Generous free tier | Free tier has cold starts | 0 | |
| Hostinger VPS | PaaS | $6-12/mo | Easy | Managed VPS | One-click Docker template for OpenClaw | Limited customization compared to raw VPS | 0 | |
| MyClaw.ai (Lite) | Managed | $19/mo (promo, reg $29) | Easy | 2 vCPU, 4GB RAM, 40GB storage | Zero setup, 24/7 uptime, auto-updates, daily backups, web terminal, fully encrypted | Most expensive per-spec option. Still need API keys for LLM providers | 0 | |
| MyClaw.ai (Pro) | Managed | $39/mo (promo, reg $59) | Easy | 4 vCPU, 8GB RAM, 80GB storage | Zero DevOps, priority support, auto-updates, daily backups, custom skills | Premium pricing | 0 | |
| Kilo Claw | Managed | Credits-based (zero markup) | Easy | Managed compute | 500+ AI models, 50+ chat platforms, scheduled tasks/cron, enterprise features (SSO, audit logs) | Currently in waitlist / "Coming Soon" as of Feb 2026 | 0 | |
| ClawHosted | Managed | $149/mo | Easy | Mac Mini M4 dedicated | Dedicated Mac Mini hardware, not shared virtualization | Expensive. Limited info available | 0 | |
| Vast.ai | GPU Cloud | $50-200/mo | Hard | RTX 3090 / A100 ($0.20-1.00/hr) | Spot instances up to 70% cheaper than major clouds. Best for budget GPU | Spot instances can be interrupted. Steep learning curve | 0 | |
| RunPod | GPU Cloud | $150-400/mo | Hard | A100 80GB ($1.74/hr) | More control over cost optimization. Persistent storage | Expensive for 24/7 usage | 0 | |
| AMD Developer Cloud | GPU Cloud | $0 (developer access) | Hard | MI300X GPU | Free GPU access with MI300X. Run OpenClaw with vLLM | Developer program, limited availability. Not for production | 0 |
Pros: Zero network latency, everything local, no recurring hosting costs. Fastest way to try OpenClaw (~15 min setup)
Cons: Not always-on (stops when machine sleeps). Security risk of giving AI agent access to personal files
Best for trying it out. Install Node.js, clone repo, run onboarding wizard
Pros: Filesystem isolation, reproducible environment, safer than native install
Cons: Still bound to machine uptime. Slightly more complex setup
Recommended over native install for security reasons
Pros: Physical sandbox — if agent goes rogue, blast radius limited to a $60 microcomputer. Always-on at minimal power (5-10W)
Cons: Cannot run local LLMs meaningfully. Cloud API only
Great for cloud API usage as a dedicated always-on device
Pros: Community darling. Runs 24/7, full data sovereignty, can run small local models
Cons: Initial hardware investment. Need HDMI dummy plug for headless operation
OpenClaw AI surge literally sparked a run on Mac Mini M4 sales
Pros: Can run 32B local models at 10-15 tok/s via Ollama. Full privacy, zero API costs possible
Cons: Significant upfront cost. You handle power outages, updates
The "sweet spot" for fully local AI. Best for privacy-first users
Pros: Completely free. 4 ARM CPUs, 24GB RAM, 200GB storage — best free option by far
Cons: Capacity often limited (keep trying regions). Idle instances may be reclaimed. Requires CLI comfort
Upgrade to Pay As You Go to avoid idle reclamation (still $0 for free-tier resources)
Pros: Best value for money. Includes OpenClaw pre-installed option. EU data centers
Cons: Requires SSH and command-line comfort. Self-managed security
Pros: Runs ~50% cheaper than DigitalOcean. Excellent EU network
Cons: No one-click option but well-documented setup. Add ~20% for snapshots/backups
Pros: One-click marketplace deploy. Security-hardened with firewall rules, automatic HTTPS. Most polished VPS option
Cons: More expensive than budget VPS providers
Security-hardened with non-root execution, container isolation
Pros: 32+ data center locations worldwide
Cons: No one-click OpenClaw install yet — manual setup required
Pros: Flat, predictable pricing. Good reliability
Cons: No one-click deploy. Manual setup required
Pros: AWS Graviton (ARM) is 20% cheaper than x86. Massive ecosystem
Cons: Complex pricing. Free tier (t2.micro) technically works but struggles
Pros: One-click deploy template. Web-based setup wizard. Free tier available
Cons: Pay-as-you-go pricing can be unpredictable
Pros: Persistent storage, automatic HTTPS, global low-latency regions. Official OpenClaw docs support
Cons: Slightly more setup than Railway
Pros: Infrastructure as Code with YAML. Generous free tier
Cons: Free tier has cold starts
Pros: One-click Docker template for OpenClaw
Cons: Limited customization compared to raw VPS
Pros: Zero setup, 24/7 uptime, auto-updates, daily backups, web terminal, fully encrypted
Cons: Most expensive per-spec option. Still need API keys for LLM providers
World's first fully managed OpenClaw deployment (launched Feb 5, 2026)
Pros: Zero DevOps, priority support, auto-updates, daily backups, custom skills
Cons: Premium pricing
Pros: 500+ AI models, 50+ chat platforms, scheduled tasks/cron, enterprise features (SSO, audit logs)
Cons: Currently in waitlist / "Coming Soon" as of Feb 2026
By the team behind Kilo Code. 7-day free compute credits at launch
Pros: Dedicated Mac Mini hardware, not shared virtualization
Cons: Expensive. Limited info available
Pros: Spot instances up to 70% cheaper than major clouds. Best for budget GPU
Cons: Spot instances can be interrupted. Steep learning curve
For running local LLMs to avoid API costs entirely
Pros: More control over cost optimization. Persistent storage
Cons: Expensive for 24/7 usage
Pros: Free GPU access with MI300X. Run OpenClaw with vLLM
Cons: Developer program, limited availability. Not for production
Free developer access for testing
This directory compares deployment and hosting options for OpenClaw, the open-source autonomous AI agent. Options range from free cloud tiers and budget VPS plans to dedicated hardware and fully managed services.
Costs shown are base hosting costs. Most options also require LLM API fees ($5-60/month depending on usage) unless you run local models.
Security note: Over 40,000 exposed OpenClaw instances have been found leaking API keys and chat histories. Always use firewall rules, run as non-root, and consider isolated hardware for sensitive use cases.
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