Running AI Agents on a VPS: Hermes Agent & OpenClaw Guide and Sizing

1. What these tools are

Hermes Agent (open source by Nous Research): an AI agent framework that runs on any server, built around persistent memory and cron jobs, with integrations for messaging platforms including Telegram and QQ. The official docs state plainly: deploy anywhere, a $5 VPS is enough — it grows more capable the longer it runs. Rich Chinese-language docs exist.

OpenClaw (formerly Clawdbot, open source): the personal AI assistant framework that exploded in late 2025, connecting WhatsApp/Telegram channels through a Gateway, handling messages and tasks around the clock.

Shared architecture: VPS-hosted runtime + cloud LLM API. The intelligence lives behind an API (OpenRouter/Anthropic/OpenAI); your server is the duty room — that’s exactly why the hardware requirements are low.

2. Sizing the box (2026 community consensus + official figures)

Use case	vCPU	RAM	Storage	Notes
Minimum / testing	1-2	2-4 GB	20-40 GB SSD	Fine for single-agent tests, not production
Recommended (cloud API)	2	4-8 GB	40-80 GB NVMe	The right choice for most people
Stable 24/7 production	4	8 GB	50 GB+ NVMe	Multi-agent / heavy jobs
Local open models	8+	16-24 GB+	per model	7B quantized from 8GB; 14B wants 24GB

Mapped to plans indexed on this site (all with live stock on their provider pages):

Tier	Representative plan	Price	Notes
Entry trial	RackNerd KVM Special 1GB ($21.99/yr)	$1.83/mo	Testing only — RAM is tight
Sweet spot	V.PS HKG/NRT Starter (2C/1GB/20GB NVMe)	€6.95/mo	Triple-carrier routes; 14-day withdrawal right
Production	V.PS HKG/NRT Pro (4C/4GB/40GB)	€9.95/mo	Multi-agent + databases, comfortable
Big RAM	V.PS HKG/NRT Premium (8C/8GB/80GB)	€19.95/mo	7B quantized models run locally
Yearly minimal	BandwagonHost 20G KVM PROMO (2C/1GB)	$49.99/yr	$4.17/mo effective, migratable across 6 DCs

3. Deployment overview (Hermes Agent example)

Prereqs: a KVM VPS (Debian 12 / Ubuntu 22.04+) with SSH access.

# 1. Base environment
apt update && apt install -y curl git

# 2. One-line install per the official Hermes Agent docs
curl -fsSL <official-install-script> | bash

# 3. Configure the LLM API (OpenRouter / Anthropic / OpenAI)
#    Put the API key in the config file and pick a model

# 4. Connect a messaging platform (Telegram / QQ — per docs)

# 5. Keep it alive with systemd / pm2, enable on boot

OpenClaw follows the same shape: install runtime → configure Gateway + channels → bind API key. Both have solid community tutorials (including Chinese ones) one search away.

4. Security checklist (important — don’t skip)

1. SSH keys only, disable passwords (PasswordAuthentication no)
2. Firewall: only necessary ports (SSH + the agent’s entry port; UFW or cloud firewall)
3. Never commit API keys — environment variables or 600-permission config files
4. Snapshot regularly (mainstream cloud panels all support it; agent memory and config are painful to rebuild)
5. Isolate the agent’s permissions: both Hermes and OpenClaw support restricted execution backends (ssh isolation, containers) — don’t give it raw root in production
6. Watch your usage: chatty agents can run up real API bills; set spending caps on the API side

5. FAQ

Total monthly cost? VPS €6-12 + API usage. Light use (dozens of calls/day) is typically $1-5 of API; heavy automation can hit $10-30. More flexible than any AI subscription — pay for what you use.

Do I need a GPU VPS? Not for cloud-API mode. Only consider big-RAM boxes for local open models (Ollama, 7B+), and temper expectations — CPU inference is slow.

Slow access to my agent from China? If messaging round-trips matter, pick a China-optimized plan (BandwagonHost GIA / V.PS HKG); if it’s just your console access, regular routes are fine.