AI agent platform buying guide · 2026

AI Agent Teams vs OpenAI dot

A configurable agent workspace, or an ongoing coordinator inside ChatGPT?

Choose AI Agent Teams when you want to operate specialist agents with supported runtimes, provider options and visible work records. OpenAI dot is a strong option when your responsibilities already live in ChatGPT and benefit from Work or Codex delegation.

Explore AI Agent Teams →Compare features

Sources checked 30 September 2026 · Weekly review: Tuesday, 03:00 Europe/Vilnius

Published by AIAgentStore, maker of AI Agent Teams. This is an editorial comparison based on product documentation and our implemented product guide. Recommendations describe workflow fit; no speed, accuracy or revenue benchmark is claimed.

The details that change the decision

Features compared side by side

These are documented capabilities, not a scorecard. A provider-managed experience does not establish that an undocumented feature is absent.

AI Agent Teams vs OpenAI dot — reviewed 30 September 2026
What to compare	AI Agent TeamsOur platform	OpenAI dot
Working environmentWhere the agent actually executes the job.	Managed cloud agents with persistent native state. AI Agent Teams: complete product guide	Cloud computer; optional access to your own computer. OpenAI: dot computers and apps
Team coordinationHow work passes between specialists and people.	Roles, tasks, handoffs and shared human/agent workspaces. AI Agent Teams: complete product guide	Delegation to background agents, Work and Codex. OpenAI: dot tasks and memory OpenAI: get started with your dot
Runtime and model accessHow much of the execution stack you can choose.	Hermes or OpenClaw; supported providers, keys and model settings. AI Agent Teams: complete product guide	ChatGPT-managed dot and delegated execution environments. OpenAI: get started with your dot
Recurring workWhether a repeated job has an explicit operating schedule.	Native runtime schedules while the agent is running. AI Agent Teams: complete product guide	Follow-ups and saved recurring tasks with a time zone. OpenAI: dot tasks and memory
Apps and integrationsA named integration must work with your exact account.	Runtime tools, messaging gateways and scoped management/reporting APIs. AI Agent Teams: complete product guide	Connected plugins; app access separate from messaging access. OpenAI: dot computers and apps
Visibility and evidenceA finished-looking answer is only part of managing work.	Chat Wall, task/activity views and dashboards with source records. AI Agent Teams: complete product guide	Activity view for delegated tasks and requests for input. OpenAI: dot controls and approvals
Human controlDefine which actions can happen without another decision.	Scoped connections, approvals, spending controls and recovery tools. AI Agent Teams: complete product guide	App permissions, automatic action review and custom rules. OpenAI: dot controls and approvals
Access and rolloutAvailable in an announcement may differ from your account.	Web workspace; hosting availability and plan limits apply. AI Agent Teams: complete product guide	Desktop setup; mobile depends on supporting app update. OpenAI: messaging and calling your dot

Start with your job

Who is each platform best for?

AIAgentStore

AI Agent Teams

Build and manage your own agent operation

A managed workspace for hosted Hermes and OpenClaw agents, human collaborators, shared files, tasks, conversations and reported results.

Consider it when: Founders, agencies and operators who want specialist agents, a choice of supported models, and a clear view of ongoing work.

Plan for: You configure the jobs, tools and access. Hosting, model usage and optional services have separate costs; useful automation still needs review.

AI Agent Teams: complete product guide AI Agent Teams: public pricing catalog

OpenAI / ChatGPT

OpenAI dot

Ongoing responsibility inside ChatGPT

A persistent ChatGPT agent that follows responsibilities over time and can delegate work to ChatGPT Work or Codex.

Consider it when: ChatGPT users who want continuity across research, documents and software tasks without repeatedly rebuilding the context.

Plan for: Check access for your account and workspace. Local work requires a connected computer to remain available; cloud work has a separate environment.

OpenAI: get started with your dot OpenAI: dot computers and apps OpenAI: meet dots and access information

A decision you can act on

How to choose between AI Agent Teams and OpenAI dot

The difference is where you manage the work

A dot can follow ongoing responsibilities and delegate subtasks; it is more capable than a scheduled reminder. That makes it a natural place to keep a continuing brief when research, files and software work already flow through ChatGPT.

Agent Teams puts the running agents and their operating context in a managed workspace. If you want to inspect several roles, their tasks, shared files and activity together, that direct operational view can be more convenient than asking a coordinator for every update.

OpenAI: dot tasks and memory AI Agent Teams: complete product guide

Where Agent Teams offers more setup choice

Choose supported Hermes or OpenClaw agents, then configure tools and model access for each role. This is useful when the same operation needs a fast routine worker and a more capable researcher, or when you want to keep using an established runtime setup.

A scoped reporting connection can also include an agent that runs elsewhere. That gives you a gradual way to consolidate recorded activity while deciding which work should be hosted. Reporting does not imply unrestricted control over the connected agent.

AI Agent Teams: complete product guide

Cloud work and local work have different dependencies

OpenAI documents a cloud computer for dot and a separate connection to your computer. A local file, app or private environment may require that device to remain available. Connecting a messaging channel is also separate from granting app access.

For Agent Teams, cloud execution depends on the running agent, runtime, plan and connected services. When testing recurring work, close your laptop, then check the output and timestamps later. Include a failed login or unavailable source so you can see how the system requests help.

OpenAI: dot computers and apps AI Agent Teams: complete product guide

Evaluate permissions and price without guessing

A dot has built-in action review and can use custom rules within its permissions. Agent Teams has scoped management connections and approval boundaries. Write down what the workflow may read, edit, send and spend, then verify how each product handles the same consequential action.

Check dot availability and plan limits in your own ChatGPT account. Do not derive a per-dot price from API token prices or assume every ChatGPT plan includes identical access. For Agent Teams, add hosting and model usage before comparing the total cost of a completed job.

OpenAI: dot controls and approvals OpenAI: meet dots and access information AI Agent Teams: complete product guide

Budget the completed job

Pricing, usage and the costs to check

AI Agent Teams

Paid hosting plans with included limits. Model usage uses Platform Credits or your provider key; eligible native subscription connections depend on runtime. Active-hour overage, voice and optional services can add costs.

AI Agent Teams: complete product guide AI Agent Teams: public pricing catalog

OpenAI dot

Check current ChatGPT access and preview limits for your plan and workspace. The reviewed dot setup documentation does not establish a universal standalone per-dot price.

OpenAI: get started with your dot OpenAI: dot computers and apps OpenAI: meet dots and access information

AI Agent Teams hosting plans

Starter

$29 USD / month

1 running agent · 50 included active hours / month

Builder

$79 USD / month

3 running agents · 250 included active hours / month

Pro

$149 USD / month

5 running agents · 750 included active hours / month

Agency

$399 USD / month

10 running agents · 2,000 included active hours / month

Catalog checked 30 September 2026. Model usage is additional. Active-hour overage is $0.15 USD/hour; the minimum Platform Credits top-up is $30 USD. Taxes, voice and optional services may add costs. Auto-sleep and agent lifecycle settings affect unattended work. AI Agent Teams: public pricing catalog

Prices, limits and eligibility can change between reviews. Compare the same workflow, including setup time, human corrections, connected service subscriptions and extra usage. No unsupported “cheapest” claim or estimated competitor price is used here.

Make the comparison real

Run a small, useful pilot

Example: prepare a weekly competitor brief from two approved sources, identify what changed, and leave a draft for review. This is a suggested test, not a customer case study.

Write one brief. Specify the sources, deadline, time zone, output format and decisions that need you.
Connect only what the job needs. Check the actual read/write access and test an unavailable source.
Inspect the handoff. Can you find the source, task status, missing information and next owner?
Measure the whole run. Record useful output, corrections, interruptions and actual usage before adding more work.

For Agent Teams, keep the agent running for its native schedule, review the spending controls, and save a tested setup before expanding the team. Explore costs and controls →

Frequently asked questions

What is an OpenAI dot?

A dot is a persistent agent in ChatGPT for ongoing responsibilities. It can use connected tools and delegate work to ChatGPT Work or Codex, subject to access and permissions.

Does dot keep working when my computer is off?

Its cloud environment can continue independently. Work that needs your connected computer depends on that computer being available with the supporting app open.

What makes AI Agent Teams different from dot?

Agent Teams offers a managed workspace around supported Hermes and OpenClaw agents, with runtime-dependent model access, shared tasks and files, Chat Wall and reporting dashboards. Dot centers ongoing responsibility in ChatGPT.

Build your own agent operation

Put specialist agents in a workspace you can manage.

Explore hosted runtimes, shared work, dashboards and practical controls in AI Agent Teams.

Explore Agent Teams →Read the full guide

Related platform comparisons

AI Agent Teams vs Muse

An agent operation you configure, or a personal agent you delegate to?

Read comparison →

AI Agent Teams vs Grok Bot

Two serious options for ongoing work, with different operating models.

Read comparison →

Muse vs Grok Bot

Start with the shape of the job: a personal goal or a repeatable team role.

Read comparison →

Muse vs OpenAI dot

Which ecosystem already holds the context your agent needs?

Read comparison →

Grok Bot vs OpenAI dot

A Bot roster and shared roles, or a continuing ChatGPT coordinator?

Read comparison →

See all four platforms in one comparison →

Sources and review method

Last completed source check: 30 September 2026. We review primary documentation, release announcements and the current Agent Teams guide weekly. Product claims are documentation-based; the decision guidance is our interpretation. Unverified access or prices remain explicitly uncertain.

“Muse” means Meta’s personal agent, “Grok Bot” means the persistent Bot product, and “OpenAI dot” means dots in ChatGPT. Model releases alone do not establish a product’s enabled features. Scheduled review does not replace checking current provider details before purchase.