OpenClaw Hosting

Self-host autonomous AI agents on cheap VPS and GPU

Run a coding assistant on RunPod with OpenClaw

This guide shows you how to deploy a coding assistant on RunPod using OpenClaw. RunPod A100 runs Code Llama 70B for in-IDE OpenClaw coding agent, which makes it the right pairing for this specific workload. Hardware, install, integration and monthly cost are covered below.

Why RunPod for a coding assistant?

RunPod A100 runs Code Llama 70B for in-IDE OpenClaw coding agent. For a coding assistant 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 $0.34/hr.

Hardware sizing

For a single coding assistant, start with the entry-level RunPod plan from $0.34/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 $0.34/hr, this is one of the cheapest production-quality ways to run a coding assistant. 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.