OpenClaw Self-Hosted Setup on Client Server

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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OpenClaw Self-Hosted Setup on Client Server
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OpenClaw Self-Hosted Setup

Self-hosted OpenClaw deployment provides complete data control: no external services in task processing chain. Critical for companies with data residency requirements, confidential data work, or corporate policy excluding third-party data transfer.

Infrastructure Requirements

Minimal Configuration:

  • CPU: 4 vCPU, RAM: 8 GB — for agents with cloud LLM (OpenAI API)
  • CPU: 8 vCPU, RAM: 32 GB + GPU (RTX 3090/4090 or A10G) — for self-hosted LLM

Recommended Stack: Docker Compose for single-server; Kubernetes for production scaling. PostgreSQL for agent state storage. Redis for queue and session. Traefik / Nginx reverse proxy with SSL.

What Gets Configured

LLM Backend:

  • External (OpenAI / Anthropic API) — simpler, higher quality
  • Self-hosted: vLLM + Llama 3 70B / Mistral for complete privacy. Configure inference endpoint compatible with OpenAI API.

Secrets Management: HashiCorp Vault or Kubernetes secrets for storing API keys, credentials. Scheduled rotation.

Backup & Recovery: Daily PostgreSQL backup (agent state, task history). Recovery process documented.

Monitoring: Prometheus + Grafana for metrics. Alertmanager for agent failure notifications.

Timeline: 1–2 Weeks

Basic installation and configuration — 3–5 days. Full production-ready setup with monitoring and backup — 1.5–2 weeks.