Fly.io
Always-on or scale-to-zero AI agents (OpenClaw, Hermes Agent) that call external LLM APIs
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Compare managed and self-hosted options for persistent agents, tool use, browser workloads, scheduled jobs and API-heavy automation.
Agents that call a hosted model API need CPU, memory and storage. A local model on the same machine usually needs a GPU with enough VRAM for its weights and context; small quantised models can run on the CPU, much more slowly.
Agents keep state, memory and workspace files. Use a persistent volume and back it up; container disks are often wiped on restart.
Keep admin interfaces off the public internet, for example behind an SSH tunnel or a private network, and store API keys as secrets.
A 24/7 agent runs about 730 hours a month. Compare monthly totals, and the price after any introductory term, not only hourly rates.
Open-source agent from Nous Research
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.
Yes. Agents that call a hosted model API mostly need CPU, memory and persistent storage, which a VPS provides. OpenClaw's documentation, for example, runs its gateway on 1 vCPU and 1 GB of RAM when models are used through an API (accessed 26 Sep 2026).
Run it as a long-lived process or container on a server that stays online, keep its state on persistent storage with backups, and keep its admin interface private. Our guide to hosting an AI agent 24/7 covers sizing, hardening and backups step by step.
Only if the model runs on the same machine, and even then not always. A hosted model API needs no GPU; a local model usually needs a GPU with enough VRAM for its weights plus the context window your agent uses. Small quantised models can run on a CPU, much more slowly.
The provider runs the agent runtime for you, including updates, restarts, backups and scaling. In exchange you get less control over the server and depend on the platform's limits.
Some hosts sell the first term at a lower introductory price and charge a higher price when the plan renews. We rank and label plans by the renewal or standard monthly price and show the introductory price next to it, so a first-term discount is never presented as the running cost.
We only show a value when an official provider source confirms it. If we could not confirm a price or feature, the row says “Not verified” instead of showing an estimate, and the provider page lists the sources we did check.