The AI agent marketplace has exploded in 2026. The global AI agent market hit $10.9 billion this year — up 43% from 2025 — and thousands of pre-built agents are now available across dedicated marketplaces from AWS, Google Cloud, Salesforce, and independent platforms. Instead of spending months building custom agents, teams can deploy production-ready automation in minutes using tools like cowork.ink for orchestration.
But not all marketplaces are equal. Some are locked to a single cloud ecosystem. Others offer open, vendor-agnostic catalogs. A few let you publish and monetize your own agents.
This guide ranks the 10 best AI agent marketplaces in 2026, explains how they work, and helps you choose the right one for your stack.
For enterprise teams already on a major cloud, start with your platform's native marketplace (AWS, Google Cloud, or Salesforce). For cross-platform flexibility, Agent.ai and Apify offer the widest selection. For team orchestration across any marketplace, cowork.ink connects your deployed agents into shared workflows.
What Is an AI Agent Marketplace?
An AI agent marketplace is a centralized platform where businesses discover, compare, and deploy pre-built AI agents — autonomous software that observes inputs, makes decisions, and takes actions with minimal human oversight. Think of it as an app store, but instead of passive tools, you're installing workers that handle multi-step tasks independently.
Three types of AI agent marketplaces dominate the landscape in 2026:
- Platform-embedded — curated catalogs built into major cloud platforms (AWS, Google Cloud, Oracle). Agents are pre-validated to integrate with the host ecosystem.
- Independent networks — vendor-agnostic directories like Agent.ai and Apify where developers publish agents that work across different stacks.
- Product-native — marketplaces built directly into SaaS products like Salesforce AgentExchange and Moveworks, designed to extend that specific product.
Each model serves a different buyer. Enterprise teams locked into AWS or Google Cloud benefit from platform-embedded marketplaces. Smaller teams that use mixed tooling prefer independent networks. Product-native marketplaces work best when you're already invested in that vendor's ecosystem.
10 Best AI Agent Marketplaces in 2026
1. AWS Marketplace (AI Agents & Tools)
AWS Marketplace is the largest cloud-native AI agent marketplace. It offers thousands of agents, tools, and services from AWS Partners that deploy directly onto Amazon Bedrock AgentCore. If your infrastructure already runs on AWS, this is the most frictionless path to deploying pre-built agents at scale.
Pros
- Thousands of agents and tools from AWS Partners
- Deploy directly to Amazon Bedrock AgentCore
- Enterprise security with IAM integration
- Pay-as-you-go billing via AWS account
Cons
- Locked to AWS ecosystem
- Can be overwhelming to navigate
- Pricing varies wildly between vendors
2. Google Cloud AI Agent Marketplace
Google Cloud Marketplace connects you with thousands of pre-vetted AI agents from established builders, all validated to integrate with Gemini Enterprise. The tight coupling with Google Workspace makes it particularly powerful for teams that live in Google's ecosystem — agents can access Drive, Gmail, Calendar, and BigQuery natively.
Pros
- Pre-vetted agents validated for Gemini integration
- Unified billing through Google Cloud
- Strong partner ecosystem
- Built-in governance and compliance tools
Cons
- Requires Google Cloud commitment
- Newer marketplace with growing catalog
- Enterprise pricing can be steep
3. Salesforce AgentExchange
AgentExchange is Salesforce's dedicated AI agent marketplace for Agentforce. It lets you discover, try, and deploy partner-built agents that extend Salesforce workflows — from automated lead scoring to intelligent case routing. If you're a Salesforce shop, this is the best AI agent platform for your CRM use cases.
Pros
- Deep CRM and sales workflow integration
- Trusted partner network with AppExchange lineage
- Pre-built agents for sales, service, and marketing
- Try-before-you-buy for many agents
Cons
- Only works within Salesforce ecosystem
- Agentforce licensing adds cost
- Limited to Salesforce data model
4. Oracle AI Agent Marketplace
Oracle's AI Agent Marketplace provides pre-built, partner-developed agent templates that deploy directly within Oracle Fusion Applications. It covers enterprise domains including ERP, HCM, supply chain, and customer experience — a strong fit for organizations already deep in the Oracle ecosystem.
Pros
- Validated templates from certified Oracle partners
- Covers ERP, HCM, SCM, and CX workflows
- Deploys within Oracle Fusion AI Agent Studio
- Strong compliance and governance
Cons
- Tightly coupled to Oracle Fusion stack
- Smaller agent catalog vs. AWS/Google
- Complex setup for non-Oracle teams
5. Microsoft Marketplace (AI Apps & Agents)
Microsoft's marketplace brings AI agents directly into the tools your team already uses — Teams, Outlook, and the broader Microsoft 365 suite. With Copilot Studio as the builder and Azure AI Services as the backbone, it's the natural choice for Microsoft-centric organizations looking to add autonomous capabilities without leaving their environment.
Pros
- Copilot and Azure AI integration
- Familiar Teams and Office 365 deployment surface
- Growing catalog of Copilot Studio agents
- Enterprise compliance built in
Cons
- Agent ecosystem still maturing
- Copilot Studio learning curve
- Pricing tied to Microsoft 365 licensing
6. Agent.ai
Agent.ai positions itself as the professional network for AI agents. Unlike cloud-embedded marketplaces, it's completely vendor-agnostic — you can discover agents built on any framework and deploy them in any environment. This makes it ideal for teams that want to compare options across ecosystems before committing.
Pros
- Vendor-agnostic agent directory
- Community reviews and ratings
- Free to browse and discover
- Developers can publish and monetize agents
Cons
- Less enterprise governance than cloud marketplaces
- Agent quality varies — no formal vetting
- Fewer deployment automation features
7. Kore.ai Agent Marketplace
Kore.ai operates one of the largest AI agent marketplaces with over 300 pre-built agents and templates. Its model-agnostic, cloud-agnostic architecture lets enterprises bring their own LLM — a key differentiator for teams with specific compliance requirements or existing model investments.
Pros
- 300+ pre-built agents and templates
- Model-agnostic — use any LLM
- Strong NLU for conversational agents
- SOC 2 and HIPAA compliant
Cons
- Focused primarily on conversational AI
- Pricing not publicly transparent
- Learning curve for customization
8. Apify
Apify's marketplace excels at web-focused AI agents — scrapers, data extractors, browser agents, and automation bots. With over 2,000 ready-to-use actors, it's the go-to platform for teams that need to collect, process, or monitor web data at scale.
Pros
- 2,000+ ready-to-use actors and agents
- Strong web automation focus
- Open-source SDK for customization
- Pay-per-use pricing
Cons
- Focused on web/data tasks — not general enterprise
- Requires technical knowledge for customization
- Limited non-web agent catalog
9. Moveworks AI Agent Marketplace
Moveworks offers a centralized hub where users can explore, install, and deploy over 100 pre-built plugins tailored for enterprise service functions. It's particularly strong for IT service management and HR automation — use cases where speed of deployment matters more than customization depth.
Pros
- 100+ pre-built enterprise plugins
- Covers IT, HR, sales, and finance
- Install and deploy in minutes
- Built-in analytics and reporting
Cons
- Enterprise pricing only
- Locked to Moveworks platform
- Smaller catalog than cloud marketplaces
10. Katonic AI Marketplace
Katonic stands out by offering full source code access for every agent template in its marketplace. This makes it the strongest option for teams that need to deploy agents on their own infrastructure and customize every detail — a privacy-first approach similar to self-hosted solutions like GoGogot.
Pros
- 200+ use case templates with source code
- Deploy on your own infrastructure
- Includes dashboards and interfaces
- No vendor lock-in
Cons
- Smaller community vs. major platforms
- Requires technical expertise
- Less polished UI than competitors
Quick Comparison: All 10 Marketplaces at a Glance
| Marketplace | Type | Agent Count | Best For | Pricing Model |
|---|---|---|---|---|
| AWS Marketplace | Platform | Thousands | AWS teams | Pay-as-you-go |
| Google Cloud | Platform | Thousands | Google/Gemini teams | Usage-based |
| Salesforce AgentExchange | Product | Growing | CRM workflows | Per-agent + license |
| Oracle | Platform | 100+ | Oracle Fusion users | Enterprise contract |
| Microsoft | Platform | Growing | M365 teams | License-based |
| Agent.ai | Independent | 1,000+ | Cross-platform discovery | Varies by agent |
| Kore.ai | Product | 300+ | Contact centers | Enterprise |
| Apify | Independent | 2,000+ | Web automation | Pay-per-use |
| Moveworks | Product | 100+ | IT/HR service desk | Enterprise |
| Katonic AI | Independent | 200+ | On-prem deployment | Tiered plans |
How to Choose the Right AI Agent Marketplace
Picking a marketplace isn't about finding the "best" one — it's about finding the best fit for your team's stack, budget, and governance requirements. Here's a decision framework:
Match Your Existing Ecosystem
If 80%+ of your infrastructure runs on one cloud, start with that cloud's native marketplace. The integration depth, unified billing, and built-in compliance will save more time than any cross-platform flexibility.
- AWS shop → AWS Marketplace
- Google Cloud / Workspace → Google Cloud Marketplace
- Microsoft 365 / Azure → Microsoft Marketplace
- Salesforce CRM → AgentExchange
- Oracle ERP/HCM → Oracle AI Agent Marketplace
Evaluate Agent Quality
Not all marketplaces vet their agents equally. Key questions to ask:
- Is there a review/rating system? Community feedback reveals real-world quality.
- Are agents tested against compliance standards? Enterprise marketplaces usually require SOC 2 or ISO 27001 certification.
- Can you trial before buying? Look for free tiers, sandboxes, or try-before-you-buy options.
- Who built it? Agents from established vendors (AWS Partners, Salesforce ISVs) typically have better support.
Consider Governance and Security
For enterprise teams, governance is non-negotiable. Your marketplace should support:
- Role-based access control — admins decide which agents can be deployed
- Audit trails — log every agent action for compliance and observability
- Data residency controls — ensure agents process data in approved regions
- Kill switches — ability to immediately disable a misbehaving agent
Deploying a pre-built agent is like giving a new hire access to your systems. Always review what permissions an agent requests, what data it can access, and whether it meets your AI agent security standards before deploying to production.
Beyond Marketplaces: Orchestrating Your Agents
Finding the right agent is only half the challenge. The real value comes from connecting multiple agents into coordinated workflows — what's known as AI agent orchestration.
Most marketplace agents work in isolation. A customer support agent handles tickets. A data analysis agent processes reports. A code review agent checks PRs. But the magic happens when they work together: the support agent escalates a bug, triggers the code review agent, and the data agent tracks resolution metrics — all automatically.
This is where a platform like cowork.ink fits in. Rather than replacing marketplace agents, cowork.ink acts as the orchestration layer that connects them into shared team workflows. Your agents from any marketplace become part of a unified system where context flows between them, results are visible to the whole team, and no work falls through the cracks.
If you're a solo developer who prefers full control, GoGogot gives you a self-hosted AI agent in one Docker command — open-source, private, and running on your own infrastructure for about $0.02 per session.
Marketplace Business Models: How Pricing Works
Understanding how marketplace agents are priced helps you budget effectively and avoid surprise costs.
| Pricing Model | How It Works | Example |
|---|---|---|
| Pay-per-use | Charged per API call, task, or minute of execution | Apify, some AWS agents |
| Subscription | Monthly/annual flat fee for access to the agent | Kore.ai, Moveworks |
| Usage-based | Scales with consumption (tokens, data processed) | Google Cloud, AWS |
| Freemium | Free tier with paid upgrades for premium features | Agent.ai, Katonic |
| Enterprise contract | Custom pricing negotiated per organization | Oracle, Salesforce |
Agent marketplace pricing often excludes the underlying LLM costs. An agent priced at $50/month might still consume $200+ in API tokens if it runs frequently. Always factor in AI API pricing when calculating total cost of ownership.
What's Next for AI Agent Marketplaces
The AI agent marketplace space is moving fast. Three trends worth watching:
-
Interoperability standards — protocols like MCP and A2A are making it easier for agents from different marketplaces to communicate, reducing vendor lock-in.
-
Agent-to-agent economies — we're already seeing early signs of agents hiring other agents. A marketing agent might purchase data from a scraping agent and route results to a content agent — all without human intervention.
-
Quality certification — as the marketplace grows, expect to see third-party agent certification programs similar to how app stores evolved. Gartner is already reviewing AI agent marketplaces for HR with peer ratings.
Get Started with AI Agents
You don't need to build from scratch. The marketplaces listed above give you access to thousands of production-ready agents that can be deployed in minutes. If you want a faster path to deploying agents for your organization, our guide on getting AI agents for business fast covers the quickest approaches.
The next step is deciding how to orchestrate them. Visit cowork.ink, create your workspace, and connect your first agents into a shared team workflow — no credit card required.
For a self-hosted option, GoGogot runs on any Linux VPS with a single Docker command.