OpenClaw Hosting

Self-host autonomous AI agents on cheap VPS and GPU

Run a WhatsApp bot on RunPod with OpenClaw

This guide shows you how to deploy a WhatsApp bot on RunPod using OpenClaw. RunPod GPU lets WhatsApp bot run a local LLM for private replies, which makes it the right pairing for this specific workload. Hardware, install, integration and monthly cost are covered below.

Why RunPod for a WhatsApp bot?

RunPod GPU lets WhatsApp bot run a local LLM for private replies. For a WhatsApp bot workload, you want stable uptime, predictable network latency to the messaging API, and enough RAM to hold OpenClaw's memory store. RunPod delivers all three from $0.20/hr.

Hardware sizing

For a single WhatsApp bot, start with the entry-level RunPod plan from $0.20/hr. Scale up if you handle more than a few thousand messages per day, or if you add browser automation or local LLM inference to the agent.

Step-by-step setup

1) Provision the RunPod instance. 2) Install Docker and pull the OpenClaw container. 3) Configure the messaging adapter (Telegram bot token, WhatsApp Business API key, Discord application token, etc.). 4) Define your agent's system prompt and tools in YAML. 5) Point the messaging webhook at the OpenClaw endpoint. Total setup is typically 30 minutes.

Monthly cost

At $0.20/hr, this is one of the cheapest production-quality ways to run a WhatsApp bot. Add LLM API costs (or zero if you self-host the model on a GPU instance), and you have a fully autonomous agent running for less than a single ChatGPT seat per month.