AI agent products
AI agents and tools in AWS Marketplace help you quickly deploy pre-built, production-ready AI capabilities from trusted partners without months of development work. You can discover specialized AI agents for tasks like customer service, content creation, and data analysis, as well as individual AI tools like guardrails, knowledge bases, and integration protocols.
What are AI agents?
AI agents are autonomous software systems that use AI to reason, plan, and complete tasks on your behalf. Unlike traditional systems that follow fixed rules, agents operate independently and adapt through multi-step processes. They combine foundation models for reasoning and planning with discrete tools to process requests, retrieve information, and execute tasks such as searching knowledge bases, calling APIs, or updating systems based on your needs.
AI agents can handle complex workflows by:
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Perceiving their environment across multiple modalities (text, image, audio, and video)
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Making decisions based on context and goals
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Taking actions to achieve specific objectives
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Adapting their approach based on results
What are AI tools?
AI tools are specialized components that enhance and support AI agent functionality. AI tools include the following types:
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Guardrails – Security and compliance controls that ensure AI safety and prevent misuse.
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Knowledge bases – Specialized data sources that provide domain expertise and contextual information.
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Integration protocols – Standards like Model Context Protocol(MCPl) that enable seamless communication between systems.
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Business logic components – Custom workflows and decision-making rules that define how the system processes information and executes tasks.
Discovery and deployment options
You can find AI agents and tools through multiple methods:
Semantic search
Use natural language prompts to discover relevant agents and tools. For example, search for "social media content creator" or "data analysis assistant" to see recommended solutions with descriptions, key features, and user ratings.
Category browsing
Browse by business use case categories such as:
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Content creation
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Customer service
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Data analysis
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Security and compliance
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Marketing automation
You can learn more about AI agent and tool discovery in Discovering AI agents and tools.
Deployment flexibility
Choose from multiple deployment options based on your security and integration requirements:
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API-based deployment - Access vendor-hosted agents through API endpoints
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Container deployment - Run agents in your own AWS environment
Model Context Protocol (MCP) support
Many AI agents and tools support the Model Context Protocol, an open standard that enables seamless communication between AI systems. MCP-enabled solutions can be easily integrated into your existing agentic ecosystems, including:
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Claude Desktop
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Windsurf
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Amazon Bedrock Agents
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Other MCP-compatible platforms
When you purchase MCP-enabled agents or tools, AWS Marketplace simplifies authentication and provides configuration parameters for plug-and-play deployment.
Integration with AWS services
AI agents and tools from AWS Marketplace integrate seamlessly with AWS AI services:
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Amazon Bedrock AgentCore – Incorporate third-party capabilities into your Bedrock workflows. For more information, see What is Amazon Bedrock?.
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Amazon Q – Extend Q's capabilities with specialized agents and tools.
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AWS Lambda – Deploy agents as serverless functions.
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Amazon ECS/EKS – Run containerized agents at scale.
Getting started
To get started with AI agents and tools:
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Browse the catalog – Visit the AI Agents & Tools section in AWS Marketplace.
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Evaluate options – Review product descriptions, compliance certifications, and user ratings.
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Subscribe – Complete the subscription process through standard AWS Marketplace workflows.
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Deploy – Configure and deploy using your preferred method (API, container, or SaaS).
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Integrate – Connect agents and tools to your existing workflows and systems.
For more information about specific deployment methods, refer to:
