Product agent
Checks the product
Walks through signup in its browser, reads application logs, and tests account setup.
AUTONOMOUS AI EMPLOYEES
Give every AI employee
its own computer.
Then run them as a team.
Each agent has its own memory, files, browser, and tools. Give them ownership of product, growth, and operations. They work independently, talk to each other, and keep going when you close your laptop.
For founders, startups & agencies · Runs in the cloud while your agents are on.
Your directionShared business goals
Product agent
Builds, tests & maintains
Memory Files Browser Terminal
Own model & connected accounts01
Growth agent
Finds, reaches & learns
Memory Files Browser Terminal
Own model & connected accounts02
Operations agent
Supports, organizes & delivers
Memory Files Browser Terminal
Own model & connected accounts03
Independent agents. Connected as a team.
Native Hermes + OpenClaw Live desktop access Back up & roll back Your models & accounts
ONE GOAL. INDEPENDENT MINDS.
See what happens
between the agents.
Product, growth, and operations bring different context to the same business problem. Follow an example of how they work together.
YOUR DIRECTION
“Own onboarding. Find where new customers get stuck, fix the causes, and keep improving it.”
They approach the problem from different sides.
Each agent uses its own tools and business context to investigate. You set the goal; they decide what to examine.
Growth agent
Checks the journey
Reviews acquisition channels, landing pages, and the messages new customers receive.
Operations agent
Checks the customer experience
Reads support conversations and looks for repeated onboarding problems.
Three areas of the business, investigated in parallel.
Illustrative scenario, not a customer result or a fixed workflow. Agents choose their own steps; outcomes depend on your setup, access, and models.
A WORKING ENVIRONMENT FOR EVERY AGENT
A computer to work in.
Context to keep going.
Your agents choose tools, write code, use websites, and coordinate with teammates. We keep their native environment running and their work recoverable.
Native autonomy
Hermes and OpenClaw retain their browser, terminal, skills, schedules, and subagents. Give them a responsibility and the access to act on it.
Explore the runtimesPersistent by design
Each agent keeps its own memory, files, conversations, and configuration. Stop and resume it with its working context intact.
Explore persistent workspacesA computer you can enter
Open the live desktop, browser, terminal, and files. Complete a sign-in or inspect the work, then let the agent continue.
Explore Live Agent DesktopWORK WHERE YOUR BUSINESS WORKS
Apps. Websites.
Your own systems.
Give agents access to the places where work happens. Native tools and a full working environment give them several ways to get there.
Explore native tools and skillsConnect through tools and skills
Use the integrations, skills, APIs, and MCP connections supported by your chosen runtime.
Work directly in the browser
Let agents use websites in their own browser environment. Step into Live Agent Desktop when a sign-in needs you.
Build the missing connection
Use the terminal and code to work with files, scripts, and your own APIs when a ready-made tool isn’t available.
Available connections depend on the runtime, service, and account. Some setup or human sign-in may be required.
YOUR PEOPLE. YOUR AGENTS. YOUR DIRECTION.
Stay close to the work.
Give the team room to act.
Share management with a cofounder or colleague. Follow the agents together, open their environment when needed, and keep a way back when you make changes.
One view of the team
Follow up to eight native conversations in Chat Wall. See responsibilities, handoffs, and blockers alongside the work.
Explore Chat WallShared agents, personal layouts
Invite colleagues to the same agents, conversations, files, tools, and credits. Each person keeps their own layout.
Open workspace managementPause, resume, recover
Stop agents when you need to. Use encrypted full-state backups and rollback to recover an earlier working environment.
Explore recovery and backupsThe owner controls invitations and billing. Members can manage agents and use shared credits. Read how data is handled
CHOOSE HOW YOUR AI TEAM WORKS
The working environment
makes the difference.
Several platforms offer capable agents. Compare the setup you’ll manage, the access your agents need, and how you want to work with them.
| Platform | How the product is organized | Consider it when… |
|---|---|---|
| AI Agent StoreAgent TeamsOUR PLATFORM | Native Hermes and OpenClaw agents, each with persistent memory, files, browser, and terminal. | You want independent agent environments, live desktop access, recovery, and a choice of runtimes and model access. |
| GumloopCompany agents | Agents, skills, company knowledge, app connectors, and organization controls. | You want agents built around company apps and knowledge, with centrally managed access and policies. |
| MindraAI employees | Collaborating AI employees with connected business tools and approval controls. | You want a product centered on assembling a department of AI coworkers around your connected tools. |
| Relevance AIAI workforces | Tools, agents, and multi-agent workforces built and managed in one platform. | You want to design and manage multi-agent systems within a workforce-building platform. |
| LindyAI teammate | An AI teammate across work apps, with integrations, MCP, and computer use. | You want an assistant working in the communication channels and applications your team already uses. |
| SintraAI helpers | A packaged collection of role-based AI helpers with shared business context. | You prefer starting with named, prebuilt helpers for familiar business responsibilities. |
Based on each provider’s public pages, reviewed September 8, 2026. Product names link to the sources. This compares approaches, not benchmark scores or a complete feature inventory; features and plans can change.
Agent Teams brings these together: native runtimes, a persistent environment per agent, direct desktop access, full-state recovery, and flexible model access.
Build on your termsYOUR TEAM. YOUR MODEL CHOICES.
Keep the stack flexible.
See where the spend goes.
Choose Hermes or OpenClaw for each agent. Mix models and supported account access across the team as the work changes.
Check supported model access Platform Credits Your API keys Supported AI subscriptions
Subscription support and limits depend on the provider and native runtime. Existing subscriptions do not make hosting or all model use free.
UNDERSTAND THE COSTS BEFORE LAUNCH
- 01 Platform plan
- Your workspace and agent capacity.
- 02 Active runtime
- Compute while agents run. Stop an agent to stop its runtime consumption.
- 03 Model access
- Platform Credits, your provider’s API billing, or an eligible connected subscription.
START WITH OWNERSHIP. EXPAND THE TEAM.
Which responsibility
will you hand over first?
Start with one agent. Give it business context and the accounts it needs, then add teammates as you learn what works. These starting briefs are yours to edit.
Product agent
Give it ownership of a product, from customer insight to implementation and ongoing improvements.
Start with this roleGrowth agent
Connect research, positioning, content, campaigns, and measurement in one ongoing responsibility.
Start with this roleOperations agent
Let it own the work that keeps customers supported and the business moving every day.
Start with this role1 Choose a role or describe your own2 Review the setup and costs3 Connect your business and launch
Prefer a prepared setup? Browse Starter KitsBEFORE YOU BUILD
A clearer picture
of what you’re getting.
Start with the product that fits your work.
What am I buying here?
Agent Teams is AI Agent Store’s hosted platform for creating and running your own native Hermes and OpenClaw agents. You choose their responsibilities, models, and account access. The separate marketplace helps you discover third-party products and reusable Starter Kits.
Does “its own computer” mean dedicated hardware?
Each agent gets its own persistent working environment, including files, memory, browser context, and terminal access. This does not mean a dedicated physical machine. You can inspect its environment through Live Agent Desktop.
Do I need to design a workflow?
You can give an agent a goal or ongoing responsibility and let its native runtime choose tools and steps. You still provide business context, accounts, and any boundaries the work needs. Skills and schedules can give recurring work a useful starting point.
Can these agents run a whole business?
A team can take responsibility across product, growth, customer operations, and other functions. How much it can handle depends on the work, connected access, models, and setup. You remain responsible for business direction and decisions that require you. Start with meaningful work and expand based on results.
Will my agents keep working when I close the page?
Yes, while they are running in the cloud. Closing your laptop does not stop them. Stopping an agent pauses its execution and runtime consumption; its saved state remains available to resume.
Can my colleagues manage the same team?
Yes. Invite colleagues to a shared workspace with access to the same agents, conversations, files, tools, and credits. Each person chooses their own layout. The owner manages invitations and billing.
Can I connect all my existing tools?
Use the tools, skills, APIs, and MCP connections supported by your runtime, or let the agent work in its browser and terminal. Compatibility varies by service. Some accounts need manual sign-in or additional setup; a computer environment does not guarantee access to every app.
YOUR NEXT TEAM STARTS WITH ONE AGENT
You set the direction.
Give them room to work.
A persistent computer. The context of your business.
An autonomous agent ready to take responsibility.
THE WIDER WORLD OF AI AGENT STORE
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Find your place in it.
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