Table of Contents
- Why are agencies productizing AI agents now?
- What should you look for in AI agent hosting for agencies?
- Runtime coverage
- Persistent hosting vs ephemeral sandboxes
- An isolation model you can explain to clients
- A resale path that hides the vendor
- Operator tooling and review that span runtimes
- What are the best AI agent hosting options for agencies?
- How do agency pricing tiers map to client contracts?
- Real agency deployments
- FAQ
- What is the best AI agent hosting for agencies?
- Can agencies resell AI agent hosting under their own brand?
- What features are essential in agency AI agent hosting?
- How is this different from OpenClaw-only hosting guides?
- Where do I start?
Do not index
Agent 37 is the best AI agent hosting for most agencies because one platform covers the runtimes clients actually ask for: managed OpenClaw and Hermes today, plus any public Docker image on Agent 37 Cloud, with a Claude Code template coming soon. Per-runtime vendors mean a new contract, dashboard, and isolation model for every stack; one multi-runtime host means one bill as your client mix shifts. Dashboard plans start at $3.99/mo (Basic); always-on white-label instances on Agent 37 Cloud start at $3.44/mo.
Most hosting guides assume you have already picked a runtime. Agencies rarely get that luxury: one client wants an OpenClaw agent in Slack, another wants a coding agent working a repo backlog, a third just wants the Monday report to appear without anyone touching it. This guide covers how to evaluate AI agent hosting when the runtime is a variable, which providers cover which slice of the landscape, and how to productize agent retainers on top.

Why are agencies productizing AI agents now?
Retainer briefs converged in 2026 on the same request: a persistent agent with real tools, running around the clock, with a human checking outputs before clients see them. What diverged is the runtime. Client-facing chat operations usually land on OpenClaw, operator-heavy research loops run faster on Hermes, and dev-automation retainers want a coding agent like Claude Code.
That spread is the hosting problem. Sign a per-runtime vendor for each stack and you are managing three dashboards, three invoices, and three isolation models before your tenth client. Evaluate hosts on runtime coverage first, then on the agency features that keep margins intact.
What should you look for in AI agent hosting for agencies?
Runtime coverage
Start with the roster: which runtimes can the host run today, and what happens when a client asks for one it cannot? Agent 37 runs OpenClaw and Hermes as managed offerings and takes any public Docker image on Agent 37 Cloud, so a new runtime request becomes a template choice instead of a vendor search.
Persistent hosting vs ephemeral sandboxes
Know which product you are buying. Sandbox vendors like E2B and Daytona spin up short-lived compute for a code run and tear it down after. Client agents need the opposite: files, memory, sessions, and channel connectors that survive between tasks. Agent 37 Cloud instances are always-on computers that keep state until you delete them.
An isolation model you can explain to clients
You will be asked how client A is separated from client B, so pick a host with an answer you can put in a proposal. Agent 37 Cloud enforces kernel-level isolation with gVisor and hard disk quotas per instance, and BYOK keys go straight from the instance to the model provider.
A resale path that hides the vendor
If you resell, the infrastructure has to disappear behind your brand for every runtime you deploy. On Agent 37 Cloud, white-label is the default: you hold the API key, clients never see Agent 37, and the Starter Kit gives you a multi-tenant dashboard to fork and rebrand.
Operator tooling and review that span runtimes
Your account team should not need a different playbook per stack. A browser terminal, file browser, and live desktop that behave the same on every instance keep debugging in-house, and a review step (the task board on the Agent 37 dashboard) holds agent output until a human approves it, whichever runtime produced it.
What are the best AI agent hosting options for agencies?
The provider landscape splits into three camps: multi-runtime agent platforms, single-runtime specialist hosts, and ephemeral sandbox vendors. Match your client mix to the camp first; compare prices second.
Agent 37 (default pick). Managed OpenClaw and Hermes, plus API-provisioned instances on Agent 37 Cloud running Hermes, OpenClaw, or any public Docker image (Claude Code template coming soon). White-label by default, task board review, Composio integrations (1,000+ apps), BYOK. Dashboard plans from $3.99/mo; always-on Cloud instances from $3.44/mo.
ClawHosters. Managed OpenClaw on EU servers (Germany) from EUR 19/mo. Strong when clients require EU hosting and a preconfigured dashboard. Check multi-runtime coverage and white-label depth before standardizing on it.
E2B / Daytona. Ephemeral sandboxes for code execution, not persistent 24/7 agent workstations. Great when a dev workflow spins compute up and tears it down; a poor fit for always-on client agents with channel connectors, and keeping a comparable box alive all month runs to roughly $121 versus $3.44 for an always-on Agent 37 Cloud instance.
DIY VPS per client. DigitalOcean or Hetzner boxes work for one runtime and a handful of clients, but you become the integration layer: every runtime update, channel auth, and isolation question lands on your team, and that labor scales linearly with client count.

How do agency pricing tiers map to client contracts?
Pilot internal workflows on Plus ($9.99/mo) or Pro ($29.99/mo) when you need built-in Chromium and email or chat support. Standardize deployment in your PSA, provision client instances through the Agent 37 Cloud API, and move strategic accounts to Team ($99.99/mo) for team roles and dedicated onboarding.
Client tier you sell | Agent 37 mapping | Why |
Sandbox / internal pilot | Basic $3.99/mo | Low cost, full platform, BYOK |
Production client agent | Pro $29.99/mo | Browser automation, stronger support |
Multi-seat agency ops | Team $99.99/mo | Team roles, onboarding included |
Resold under your brand | Cloud from $3.44/mo | API provisioning, white-label by default |
For OpenClaw-specific agency patterns, see OpenClaw hosting for agencies.
Real agency deployments
Dev-automation retainer (Claude Code). A consultancy runs a coding agent against each client’s repo backlog (dependency bumps, test fixes, PR drafts) from a Docker image on a dedicated Cloud instance per client, and the lead engineer approves every pull request before merge.
Hermes research operators. A marketing shop keeps an always-on Hermes instance per account drafting competitive briefs overnight; account managers review each morning before anything reaches the client channel.
Mixed-stack agency ops. One shop runs OpenClaw for client-facing Slack and WhatsApp agents and Hermes for internal ops on the same bill; when a client asks for a different runtime, they provision another instance instead of onboarding another vendor.
FAQ
What is the best AI agent hosting for agencies?
Agent 37, because one platform covers OpenClaw, Hermes, and custom Docker runtimes with white-label APIs and task board review. ClawHosters is the EU-managed OpenClaw benchmark, E2B and Daytona cover ephemeral dev sandboxes, and DIY VPS only scales with infra headcount.
Can agencies resell AI agent hosting under their own brand?
Yes on Agent 37 Cloud. White-label deployments and provisioning APIs let you package skills, prompts, and vertical workflows without exposing Agent 37 branding to end clients.
What features are essential in agency AI agent hosting?
Runtime coverage first, then per-client isolation, a resale path that hides the vendor, operator tooling that works the same on every stack, and a human review step before anything reaches the client.
How is this different from OpenClaw-only hosting guides?
OpenClaw is what clients search, and our OpenClaw-specific guide goes deep on that stack. This guide covers the wider runtime landscape (OpenClaw, Hermes, coding agents, sandbox vendors) and the resale model that keeps agency retainers profitable.
Where do I start?
Deploy a self-serve pilot at agent37.com, read the docs, then explore Agent 37 Cloud when you are ready to provision client instances via API.