OpenClaw Server Requirements (openclaw server requirements)

Overview and quick answer

OpenClaw server requirements depend on agent scale and workload. For simple automation experiments a small VPS will suffice, while running concurrent AI agents or heavier models requires more CPU cores, additional RAM, and faster storage with solid I/O. This guide gives clear, beginner-friendly guidance for CPU, RAM, storage I/O and network considerations so you can plan reliable OpenClaw deployments.

OpenClaw server requirements: CPU & concurrency

CPU choice matters because OpenClaw agents typically run many concurrent processes (agents, Docker containers, background workers). Prioritize single-core performance for latency-sensitive tasks and additional vCPUs for concurrency. Consider these practical resource tiers as starting points for planning:

• Small tier — 1–2 vCPUs: suitable for local testing, single-agent automation, or lightweight tasks.
• Medium tier — 4 vCPUs: a balanced option for multiple agents and moderate parallelism.
• Large tier — 8+ vCPUs: recommended when you run many agents, handle heavy I/O, or use CPU-bound processing.

On VPS platforms you may see trade-offs between core count and single-core speed. For automation workflows where many short-lived tasks run concurrently, prioritize more vCPUs; for heavy single-threaded workloads, prefer faster cores.

Memory, swap and process sizing

RAM affects how many agents and services you can run simultaneously. Start by estimating baseline memory: the OS + Docker + a supervisor process require memory before agents consume their share. Use the tiers below as a framework:

• Small tier — 2–4 GB RAM: minimal experiments and single-agent setups.
• Medium tier — 8–16 GB RAM: typical for multi-agent setups and small production workloads.
• Large tier — 32+ GB RAM: needed for memory-heavy agents, caching layers, or in-memory datasets.

Enable a modest swap to avoid crashes on short spikes, but do not rely on swap for steady-state memory needs because it degrades performance. Monitor memory usage and tune container limits so one agent cannot starve others.

Storage, I/O and network considerations

Storage performance (IOPS, latency) and network bandwidth are often the limiting factors for agent throughput. For OpenClaw deployments prefer SSD-backed volumes (NVMe if available) and configure Docker to use fast storage for writable layers, logs, and any local datasets. When planning storage:

• Separate ephemeral containers and persistent volumes to reduce write amplification.
• Keep logs rotating and offload long-term logs to object storage when possible.
• Ensure network capacity and low latency for services that call external APIs or communicate across nodes.

For secure setups, follow platform guides such as our secure VPS checklist to harden network access and storage permissions.

Choosing a VPS provider and practical comparisons

When selecting a provider, consider global footprint, available instance types, storage options, and the ecosystem you want to integrate with. Three commonly used providers to consider are DigitalOcean, Hetzner, and Contabo:

• DigitalOcean — offers a simple UI, managed services, and a well-documented developer experience; it’s convenient for getting started and integrates with common CI/CD workflows.
• Hetzner — provides a range of cloud and dedicated offerings with control over hardware selection and networking; it’s often chosen for European deployments and predictable instance varieties.
• Contabo — known for VPS lines with larger RAM and storage tiers; it can be attractive when you need generous memory or disk on a VPS footprint.

For a curated view of host options and how they map to OpenClaw needs, see our best hosting overview. If you are standardizing requirements across multiple agent projects, document the minimum and recommended resource tiers so teams choose consistent instance types. For related deployment patterns and troubleshooting, review our broader AI agents server requirements hub.

Recommendation and next steps

To finalize a plan, map expected concurrency and data I/O to the resource tiers above and run a short pilot on a medium-tier VPS to measure real usage. Use monitoring to capture CPU, memory, disk I/O and network metrics and adjust the tier as needed. If you need a concise next action: Choose the right VPS specs by starting with a medium-tier instance for multi-agent testing, then scale CPU, RAM or storage IO based on measured bottlenecks.

This page is intended as the canonical technical requirements hub for OpenClaw deployments—use the linked guides above to secure, host, and expand your automation platform as you scale.