White Label AI Agents for Agencies: The 2026 Playbook

What white label AI agents really require, how the 2026 platforms compare on price and isolation, and how agencies resell always-on OpenClaw and Hermes agents under their own brand.

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White Label AI Agents for Agencies: The 2026 Playbook
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White label AI agents are AI agents you sell under your own brand while a platform runs the infrastructure behind the scenes. Agencies use them to productize always-on assistants without building a cloud: the client sees your brand, your billing, and your support, never the vendor's. Agent 37 is built for exactly this. Every client gets an isolated OpenClaw or Hermes instance you provision with one API call, white label by default, from $1.99 per month.
Most of what ranks for this term is a chat widget with your logo on it. That is fine for FAQ bots. It falls short the moment you sell a real agent: one that holds credentials, runs tools, sends messages on Telegram or Slack, and works while your client sleeps. This guide covers what white label AI agents actually require, how the 2026 platforms compare on price and isolation, and the launch playbook that survives contact with a third client.

What are white label AI agents?

White label AI agents are managed agent runtimes delivered under your agency's brand. You control packaging, pricing, and the client relationship. The platform handles provisioning, isolation, and uptime, and stays invisible.
That is different from putting your logo on a shared chatbot. A real white label agent business needs six things:
  • Your brand on everything the client touches: domain, dashboard, invoices
  • One isolated instance per client, not a sub-account in a shared SaaS
  • Provisioning and teardown by API, with no manual SSH per client
  • Always-on hosting, so channels stay online around the clock
  • BYOK model keys or transparent token billing, so spend is auditable
  • Runtime choice: OpenClaw, Hermes, or both, matched to the workload
If a vendor only gives you a themed chat widget on shared infrastructure, you have a white-labeled UI, not a white-labeled agent business.

How do white label AI agent platforms compare in 2026?

The market splits into four camps, and they are not interchangeable. The prices below were checked on the vendors' live pricing pages in August 2026.
Path
Typical cost
Built for
The catch
White-label chatbot and voice SaaS (Stammer, Lety, GoHighLevel, Insighto)
$97 to $499/mo platform fee, plus usage
Branded FAQ, support, and receptionist bots
Sub-accounts on shared infrastructure, chat-first runtimes
Voice AI wrappers on engines like Vapi and Retell (VoiceAIWrapper and friends)
$29 to $499/mo, plus per-minute rates
Reselling phone agents
The engine underneath is someone else's roadmap
Managed isolated instances (Agent 37)
$1.99 to $4.94/mo per client instance (2 vCPU, 4 GB shape), plus tokens
Full agents with tools, files, memory, and channels
You still own packaging and support
DIY VPS under your brand
$6 to $24/mo per client server, plus your time
Platform teams with headcount
You become DevOps for every client
Three things stand out when you actually read those pricing pages.
First, the platform fee is the business model. Stammer's agency tier is $197 per month and its full SaaS mode is $497. Lety runs $97 to $497. GoHighLevel's Agency Pro tier, the default comparison point in this niche, is $497. You pay that before your first client pays you.
Second, watch where white labeling sits in the package. Chatbase charges $1,188 per year just to remove its own branding, with full white label behind an enterprise contract, and GoHighLevel's white-label mobile app is a separate $497 per month add-on. The agency platforms in the table do include branding in the base fee. Check this line item on any vendor you shortlist.
Third, isolation usually means sub-accounts. The platforms above run every client inside one shared application. That is workable for a website widget. It becomes a hard conversation with your client's security lead once the agent holds their inbox, their Slack, and their credentials.
Agent 37 comes at it from the other direction: infrastructure first. Each client runs in their own container with kernel-level isolation, and white label is the default, not an upsell. If all you actually sell is a chat widget, the SaaS platforms will get you live faster and you should use one of them. Isolation becomes the product the moment the agent holds real credentials.

How does white labeling work on Agent 37?

There are two routes, and many agencies use both.
The Cloud API is the white label route. POST /v1/instances provisions an always-on computer running Hermes or OpenClaw (or any public Docker image you bring). Files, memory, sessions, and connected tools persist until you delete the instance. You hold the one API key; clients sign in on your domain and never see Agent 37. The white label Starter Kit is a multi-tenant dashboard you fork, rebrand, and ship, so you are not building a client portal from scratch. New workspaces get a $1 starter credit, roughly a week of the cheapest instance, with no card required. Start at agent37.com/cloud.
The dashboard is the pilot route. Before you automate provisioning, you can run your first client from the Agent 37 dashboard on the managed hosting tiers, from $3.99 per month, then move to the API once the offer is proven.
This is not theoretical. ApolloClaw sells private agents to firms under its own brand: clients sign in at apolloclaw.ai and talk to an assistant they named themselves, while founder David Oralevich holds one API key and sets a model-spend cap per customer. Before Agent 37, every client was a physical Mac mini he configured by hand over about a day and a half. "I still have 10 of them sitting here," as he puts it. Boon went from a waitlist it could not serve to giving every client their own Hermes agent within three days of switching.

What should a white label AI agent offer include?

Package outcomes, not containers. Clients buy inbox triage, research briefs, ops alerts, or sales follow-up. You deliver an isolated agent plus a support path.
A sellable offer covers seven things:
  1. Scope: one primary workflow and a defined channel set
  1. Runtime: OpenClaw, Hermes, or a documented mix
  1. Isolation: a dedicated instance per client, stated in the contract
  1. Model policy: BYOK or included tiers, with a spend cap per client
  1. Review: a human gate on risky actions where the workflow needs one
  1. SLA language: uptime expectations and support hours you can honor
  1. Exit: how files and configs export if the client leaves
Do not sell unlimited agents on one cheap VPS. That is how agencies inherit 3 a.m. incidents. And be honest about support economics: at $2 to $5 a month of infrastructure, nobody staffs a 24/7 human desk. Agent 37 itself filters support through an AI bot at these margins. Write your own SLA with that math in mind.

How do you launch a white label AI agent offer?

  1. Pilot one client on one isolated instance. Prove the workflow before you invent packaging.
  1. Package the offer: name, scope, channels, support path, and a price ladder.
  1. Automate provisioning so every new client is one API call, one client per instance, no snowflakes.
  1. Bill and support under your brand. The host stays invisible unless the client asks.
Agencies that skip the pilot usually discover isolation and support gaps after three clients are live. Pilot first.
For runtime-specific playbooks, see white label OpenClaw and white label Hermes: both go deep on provider comparisons and packaging patterns for their runtime. For infrastructure selection criteria, see AI agent hosting for agencies. For pricing psychology, pilots, and where buyers come from, see how to sell AI agents online.

How much do white label AI agents cost?

OpenClaw and Hermes are free, open-source software. What you pay for is always-on compute, model tokens, and your own delivery margin.
On Agent 37 Cloud, the per-client infrastructure is:
Line item
Price
Shared instance (2 vCPU, 4 GB)
$1.99/mo, billed on average usage, capped at the dedicated price
Dedicated instance (2 vCPU, 4 GB)
$4.94/mo, the whole shape reserved around the clock
Extra disk
$0.09/GB/mo
Starter credit
$1 free for new workspaces, no card required
Shared billing is enabled per workspace on request, so budget the $4.94 dedicated price per client and treat anything under it as upside. Model tokens are extra everywhere: bring your own keys, or use the metered managed models behind a per-instance spend cap.
The math that matters: ten clients on dedicated instances cost $49.40 per month in infrastructure. Even a modest $49-per-client package returns $490. The margin pays for the things no platform can sell you: your packaging, your support, your client relationships.
Running one or two clients through the dashboard instead? Managed hosting runs from Basic at $3.99 per month (BYOK, 1 vCPU, 4 GB) up to Max at $99.99 (4 vCPU, 16 GB, team roles). Plus at $9.99 bundles free models, with usage capped per rolling 5-hour window and per week. There is no free tier: the software is free, the always-on computer is not. For the full cost breakdown of a production deployment, see OpenClaw costs in 2026.
Compare either route to the platform-fee camp, where the meter runs $97 to $499 per month before your first client signs.

FAQ: white label AI agents

What does white label mean for AI agents?

You sell, brand, and support the agent; the platform runs it and stays invisible. On Agent 37 Cloud that is the default behavior: you hold the API key, and clients never see the host.

Can I white label OpenClaw and Hermes?

Yes. Both run as isolated, always-on instances on Agent 37 Cloud, provisioned by API and delivered under your brand from $1.99 per month.

Do I need a custom UI to white label?

Not always. Many agencies deliver through the client's own channels (Telegram, Slack, email) and keep a dashboard for themselves. The Starter Kit gives you a rebrandable client portal when you need one.

Is a shared chatbot platform enough?

Only for shallow chat use cases. Agents that hold tools, files, and credentials need per-client isolation, which sub-accounts on a shared SaaS do not provide.

How should agencies price white label agents?

From cost up: instance plus tokens, then packaging and support margin. Anchor the price on the outcome, not the infrastructure. Packages across this market commonly run $49 to $500 per client per month.

DIY VPS or managed for white label?

DIY only makes sense if you already employ platform engineers and want control of every layer. Everyone else ends up as their clients' DevOps team, which is the job managed hosting exists to take off your plate.

The bottom line

White label AI agents are a margin business, and margin comes from infrastructure you do not babysit. Agent 37 gives every client an isolated, always-on OpenClaw or Hermes agent, one API call per client, white label by default, from $1.99 per month. Spin up your first instance with the free $1 starter credit at agent37.com/cloud.
Vishnu

Written by

Vishnu

Founder at Agent37, which runs managed hosting for OpenClaw and Hermes agents for 1,000+ users. Writes about what actually breaks when you leave an AI agent running.