10 Best AI Agent Marketplaces in 2026 (Where to Buy AI Agents)

TL;DR: What You Need to Know

If you want the easiest way to find and use a ready-made AI agent, the OpenAI GPT Store is the simplest place to start, while enterprises usually buy through the marketplace tied to their existing platform: AWS, Google Cloud, Microsoft, Salesforce AgentExchange, or ServiceNow. For the widest browse-everything experience, open directories like AI Agents Directory and AI Agent Store list thousands of agents across vendors. Pick the marketplace that matches the stack you already run.

An AI agent marketplace is where you discover, buy, and deploy ready-made agents rather than build them yourself. This guide ranks 10 marketplaces across four types, explains how they work and how agents are vetted and priced, and helps you decide between buying an agent and building one with a framework.

Pricing verified June 2026. AI tool pricing changes often, so confirm the current price on each vendor’s site before you subscribe. Inside AI Media is not an AI tool vendor; these picks are ranked on merit, not promotion.

Best AI agent marketplaces at a glance

Here is the quick comparison, grouped by the type of marketplace and who it suits. If you would rather build an agent than buy one, see our best AI agent frameworks guide, and for ready-to-use individual agents, our best AI agents roundup.

What is an AI agent marketplace?

An AI agent marketplace is a platform where you can discover, buy, and deploy ready-made AI agents built by vendors or other developers, instead of building one from scratch. Think of it as an app store for autonomous AI: you browse agents by task, check what they do and cost, and connect them to your tools. Marketplaces handle the distribution, and increasingly the vetting and governance, of third-party agents, which is what makes buying one practical for a business.

Marketplace vs store vs directory vs framework

The terms blur together, so here is the distinction. A marketplace or store lets you find and deploy finished agents, often with billing built in. A directory is a curated catalog that points you to agents across many vendors, usually without handling payment. A framework, by contrast, is a developer toolkit for building your own agent. This guide is about the first two. If your goal is to build rather than buy, our agent frameworks guide is the right place, and the core decision below is exactly that: buy a ready agent from a marketplace, or build one.

The 10 best AI agent marketplaces in 2026

1. OpenAI GPT Store

The GPT Store is the most accessible AI agent marketplace, home to a huge catalog of custom GPTs that anyone with a ChatGPT account can use in seconds. The agents range from simple assistants to task-specific tools, and creators can publish their own, which makes it the easiest on-ramp to ready-made agents for individuals and small teams.

• Best for: the easiest way to find and use ready-made agents.
• Type: consumer and builder store.
• Pros: enormous catalog, zero setup, anyone can publish, free to browse.
• Cons: tied to the OpenAI ecosystem; lighter on enterprise governance.
• Best for: consumers and prosumers. Skip if: you need enterprise controls and integrations.

2. AWS Marketplace (AI Agents and Tools)

AWS offers a dedicated catalog of AI agents and tools that deploy into its Bedrock agent infrastructure, which makes it the natural marketplace for enterprises already on AWS. Agents come with the security, billing, and governance controls AWS customers expect, so procurement and deployment fit existing cloud workflows.

• Best for: enterprise-grade agents that deploy on AWS.
• Type: cloud marketplace.
• Pros: large catalog, deploys to Bedrock, enterprise security and billing, AWS-native.
• Cons: most valuable if you are on AWS; enterprise-oriented.
• Best for: AWS shops. Skip if: you are not on AWS.

3. Google Cloud (Agentspace and Agent Garden)

Google’s agent marketplace, surfaced through Agentspace and the Agent Garden, lets enterprises discover and deploy agents that plug into Gemini and Google Workspace. For teams that live in Gmail, Drive, and BigQuery, agents that already understand that data are a strong fit, with the governance of Google Cloud behind them.

• Best for: teams on Google Workspace and Google Cloud.
• Type: cloud marketplace.
• Pros: native Google Workspace and BigQuery integration, Gemini-powered, enterprise governance.
• Cons: Google Cloud-centric; product naming is still evolving.
• Best for: Google Cloud teams. Skip if: your stack is elsewhere.

4. Microsoft Agent Store (Copilot)

Microsoft’s agent store brings agents into Copilot, so they run where employees already work in Teams, Outlook, and the rest of Microsoft 365. Built with Copilot Studio, these agents suit large organizations standardized on Microsoft, with Azure-grade security and management.

• Best for: agents inside Microsoft 365 and Teams.
• Type: cloud and product-native.
• Pros: agents inside Teams and Outlook, Copilot Studio, enterprise security.
• Cons: most valuable for Microsoft-centric organizations.
• Best for: M365 enterprises. Skip if: you do not use Microsoft 365.

5. Salesforce AgentExchange

AgentExchange is Salesforce’s marketplace for Agentforce agents and extensions, following the model that made AppExchange successful. It offers agents for sales, service, and CRM workflows that drop into Salesforce, which makes it the obvious choice for the many businesses that run their operations on the platform.

• Best for: CRM, sales, and service agents on Salesforce.
• Type: product-native (CRM).
• Pros: deep Salesforce and Agentforce integration, vetted partners, AppExchange lineage.
• Cons: built around the Salesforce ecosystem.
• Best for: Salesforce customers. Skip if: you do not use Salesforce.

6. ServiceNow AI Agent marketplace

ServiceNow offers agents that run natively on its workflow platform, aimed at IT, HR, and operations automation. For enterprises already using ServiceNow to manage service workflows, marketplace agents extend that automation without leaving the platform, with the governance large IT organizations require.

• Best for: workflow automation on the ServiceNow platform.
• Type: product-native (ITSM).
• Pros: workflow-native agents, strong for IT and operations, enterprise governance.
• Cons: tied to the ServiceNow platform; enterprise-focused.
• Best for: ServiceNow enterprises. Skip if: you are not on ServiceNow.

7. Kore.ai Agent Marketplace

Kore.ai provides a marketplace of prebuilt agents focused on conversational AI for contact centers and enterprise IT, and it is notable for being model- and cloud-agnostic, so you can bring your own LLM. That flexibility appeals to enterprises that do not want to be locked into a single cloud’s agents.

• Best for: conversational enterprise agents with bring-your-own-LLM.
• Type: vendor platform.
• Pros: many prebuilt agents, model- and cloud-agnostic, strong for contact centers.
• Cons: centered on conversational use cases.
• Best for: CX and IT teams. Skip if: you want a consumer store.

8. Agent.ai

Agent.ai positions itself as a professional network and marketplace for agents, vendor-agnostic by design, where you can discover agents across platforms and where builders can publish and monetize their own. It suits developers and buyers who want choice rather than a single vendor’s catalog.

• Best for: vendor-agnostic discovery and monetizing your own agents.
• Type: independent network.
• Pros: cross-platform, large catalog, builders can sell, not tied to one cloud.
• Cons: less enterprise governance than the cloud platforms.
• Best for: developers and indie builders. Skip if: you need enterprise procurement controls.

9. AI Agents Directory

AI Agents Directory is one of the largest open directories, cataloging thousands of agents across vendors plus open-source agent skills you can copy and install. It is the place to browse the whole landscape, filter by category and pricing, and read reviews before committing, rather than shopping inside one vendor’s store.

• Best for: browsing the widest cross-vendor catalog.
• Type: open directory.
• Pros: thousands of agents, category and pricing filters, reviews, open-source skills.
• Cons: a directory rather than a deployment platform; quality varies by listing.
• Best for: research and discovery. Skip if: you want one-click managed deployment.

10. AI Agent Store

AI Agent Store combines an open directory with a builder and an agent-to-agent job marketplace. You can browse agents by category, launch hosted agents without managing servers, and even post or take paid tasks between agents, which makes it a window into the emerging agent economy for SMBs and solo operators.

• Best for: discovering, launching, and monetizing agents in one place.
• Type: directory plus builder and agent-to-agent marketplace.
• Pros: directory plus hosted launcher, monetization, agent-to-agent task marketplace.
• Cons: newer and broad; less enterprise governance.
• Best for: SMBs and solo builders. Skip if: you need enterprise compliance.

The four types of AI agent marketplace

Sorting the options by type makes the choice easier. Cloud marketplaces from AWS, Google, and Microsoft sell agents that deploy into their respective clouds with enterprise controls. Product-native marketplaces like Salesforce AgentExchange and ServiceNow offer agents that run inside a specific business platform. Consumer and builder stores like the OpenAI GPT Store and Agent.ai make ready agents available to individuals and developers. And open directories like AI Agents Directory and AI Agent Store catalog agents across every vendor for browsing and comparison. Most buyers should start with the type that matches the platform they already use.

How AI agent marketplaces work

Under the hood, a marketplace handles three jobs: discovery, deployment, and governance. You find an agent by task or category, connect it to your data and tools, and the marketplace manages access, billing, and monitoring. What makes this newly practical is interoperability standards: the Model Context Protocol (MCP) lets agents connect to tools and data in a common way, and emerging agent-to-agent (A2A) protocols let agents work together across vendors. These standards reduce lock-in and are the reason agent marketplaces have grown quickly. Our agent frameworks guide explains MCP and A2A in more depth.

How to choose the right marketplace

Three questions narrow it down. First, which platform do you already run, since the cloud and product-native marketplaces are most valuable inside their own ecosystems. Second, how much governance do you need, because enterprises should favor marketplaces with vetting, access controls, and audit trails over open directories. Third, do you want managed deployment or just to compare options, which points enterprises to cloud and product marketplaces and researchers to directories. Match those answers to the type, and the shortlist gets short fast.

Are third-party agents safe?

Deploying a third-party agent is a bit like onboarding a new hire: it gets access to systems and data, so trust matters. Enterprise marketplaces from the major clouds and platforms vet listings and provide permissions, audit trails, data-residency controls, and the ability to shut an agent off, which is why regulated teams prefer them. Open directories list far more agents but vet less, so check reviews and the publisher before connecting one to sensitive data. Whatever the source, grant the least access an agent needs and monitor what it does.

Pricing: free vs paid

Marketplaces use a range of models, and the headline price is not the whole cost. Many directories are free to browse, the GPT Store is free to use within a ChatGPT plan, and enterprise agents are sold by subscription, usage, or revenue-share. The cost that catches people out is the underlying model usage, since an agent that calls a large language model runs up token costs on top of any marketplace fee. Factor in both the agent’s price and the compute it consumes when you compare options.

Can you build and sell your own agents?

Yes, and it is a growing opportunity. Most marketplaces let developers publish agents, with monetization through subscriptions, pay-per-use, or revenue-sharing, and networks like Agent.ai and AI Agent Store are built around letting builders sell. A newer wrinkle is agent-to-agent commerce, where agents hire and pay each other for tasks, which platforms like AI Agent Store are experimenting with. If you would rather build the agent you sell, start with our best AI tools for automation and the agent frameworks guide.

The bottom line on AI agent marketplaces

The best AI agent marketplace is usually the one tied to the platform you already use: AWS, Google, or Microsoft for cloud teams, Salesforce or ServiceNow for those business platforms, and the OpenAI GPT Store for the simplest start. Open directories like AI Agents Directory and AI Agent Store are best for browsing the whole landscape. Decide between buying and building first, match the marketplace type to your stack, prefer vetted enterprise marketplaces for sensitive work, and remember to budget for the model costs an agent runs up.

Frequently asked questions