OVHcloud
Self-hosting AI agents (OpenClaw, Hermes Agent, n8n) on low-cost VPS with an EU-hosted model API
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Hermes Agent is an open-source agent from Nous Research that runs as a long-lived process. Compare providers that document hosting it, and what you need if the model runs locally.
The Hermes quickstart (accessed 27 Sep 2026) sets no minimum CPU or RAM; its hard requirement is a model with at least 64K tokens of context. The rows count plans with at least 1 GB of RAM, the floor the agent hosting selector uses, and do not confirm that a plan runs Hermes well.
The usual setup: Hermes runs as a long-lived process on a VPS or CPU instance and calls a model API (an OpenAI-compatible endpoint, Nebius Token Factory, Together AI). You pay the monthly plan plus the API's token usage, which no price on this page includes, and you run updates, backups and security yourself unless the plan is managed.
Providers with an official Hermes template or a documented guide need the least setup; each row shows the provider's support level with its source. Where a template exists, the provider's own plan sizing applies, not a size we verified.
Only when the model itself must run on your server: it then needs enough VRAM for the weights plus the 64K-token context, served through vLLM, SGLang or Ollama, on a GPU instance billed per GPU-hour. Compare that hourly price against a plan's monthly price before choosing this path.
Each row leads with the provider's cheapest counted plan at its standard or renewal price, including the plan's own disk. Add block storage where the plan has none, paid backups where you want them, and the model API's usage. The check date of each price is shown in its row.
Model APIs it can call are listed separately.
Model API for Hermes Agent · Documented setup (Hermes Agent docs)
Nebius provider profileModel API for Hermes Agent · Documented setup (Hermes Agent docs)
Together AI provider profileIntegration for Hermes Agent · Documented setup (Hermes Agent docs)
Modal provider profileHermes Agent requires a model with at least 64,000 tokens of context. A local model has to be started with a 64K context, for example --ctx-size 65536 for llama.cpp or -c 65536 for Ollama.
Self-hosted models connect through a custom endpoint; the quickstart names vLLM, SGLang and Ollama.
For safety, the agent's commands can run in a Docker container or on a remote server through the Docker or SSH terminal backend.
Open-source agent from Nous Research
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Always-on agent gateway, formerly Clawdbot
Local models behind an HTTP API
High-throughput inference server
Open-source LLM app and workflow builder
Low-code builder for LLM flows and agents
Filters match a provider when one of its listed offers meets every GPU, VRAM, region, price and billing-increment condition together. Spot, reserved and serverless billing list each provider that offers that pricing and show only prices on that basis, or “not verified” when we have none. Without a GPU filter, providers are matched on their own regions and lead with their monthly plans. Read the full methodology and our affiliate disclosure.
Among providers with an official Hermes Agent template or a documented guide, the cheapest counted plan with at least 1 GB of RAM is OVHcloud's VPS-1 (VPS 2027 range) at $5.12 per month (2 vCPU, 4 GB RAM, 40 GB disk), checked 20 Oct 2026. That is the server only: the model API's token usage, block storage beyond the plan's disk and paid backups come on top, and a local model needs a GPU instance instead, billed per GPU-hour. Amounts are in US dollars (USD), excluding VAT.
Yes. Hermes runs as a long-lived process, so a server that stays online with persistent storage works. The quickstart states no minimum CPU or RAM; its hard requirement is a model with at least 64K tokens of context (accessed 27 Sep 2026).
Anywhere it can run around the clock with persistent storage and a model it can reach. Providers with an official template need the least setup; the results show each provider's support level with a link to its source, and the monthly price after any introductory term.
Usually only for a local model. With a hosted model API a CPU server is enough; a local model on a GPU needs enough VRAM for its weights plus a 64K-token context. A CPU can run small quantised models, much more slowly.
The software is open source. Running it still costs money: a server or platform plan, plus either a model API or GPU time for a local model.
At hermes-agent.nousresearch.com, published by Nous Research. Similarly named sites, such as hermes-agent.ai, are third-party services, and Hermes OS (now Hivra) is an unrelated product.