Amazon Unveils AgentCore for Scalable AI Agent Deployment
Amazon introduces AgentCore, a suite of services to help developers deploy and manage AI agents at enterprise scale, built on Amazon Bedrock and compatible with any model or framework.
Amazon has announced the preview launch of AgentCore, a new suite of services designed to help developers deploy and manage AI agents at enterprise scale. Built on Amazon Bedrock and compatible with any model or framework, AgentCore addresses the growing demand for infrastructure that supports production-ready AI agents capable of reasoning, planning, acting, and learning with limited human oversight.
The Rise of Agentic AI
The rise of agentic AI has accelerated with the adoption of standardized protocols like Model Context Protocol (MCP) and Agent2Agent (A2A), which simplify how agents interact with tools and systems. While frameworks like CrewAI, LangGraph, LlamaIndex, and Strands Agents have made prototyping easier, moving these agents into production still poses major challenges. Developers often spend months building session management, memory systems, observability layers, and secure identity controls, diverting focus from core functionality.
AgentCore's Key Features
- Serverless Runtime Environment: Provides session isolation and long- and short-term memory management.
- Execution Observability: Includes metadata and debugging tools for better monitoring.
- Secure Identity Integration: Allows access to AWS and third-party services like GitHub and Slack.
- Managed Browser Instances: Supports web-based workflows.
- Code Interpreter: Runs agent-generated code in an isolated environment.
According to Amazon, these services are designed to work either independently or together and can be integrated with existing agent code through the AgentCore SDK. "AgentCore can work with open source or custom AI agent frameworks, giving teams the flexibility to maintain their preferred tools while gaining enterprise capabilities," the company said.
Marketplace Integration
Developers can also discover and run pre-built agents and tools via AWS Marketplace, using AgentCore Runtime to deploy and AgentCore Gateway to connect them to APIs and other services. This unified access model is expected to make it easier for enterprises to scale agent-based applications while maintaining compliance and control.
Strategic Positioning
With AgentCore, Amazon is positioning itself at the center of the agent infrastructure ecosystem, providing a foundational layer for developers to move beyond experimentation and build AI agents that operate reliably at scale. This move follows Amazon's recent entry into the vibe coding market with Kiro AI, highlighting its broader strategy to dominate the AI development space.
"AgentCore eliminates tedious infrastructure work and operational complexity so development teams can bring agentic solutions to market faster," Amazon noted in a blog post.
This launch underscores Amazon's commitment to simplifying AI agent deployment, making it a key player in the enterprise tech landscape.
Related News
AWS extends Bedrock AgentCore Gateway to unify MCP servers for AI agents
AWS announces expanded Amazon Bedrock AgentCore Gateway support for MCP servers, enabling centralized management of AI agent tools across organizations.
CEOs Must Prioritize AI Investment Amid Rapid Change
Forward-thinking CEOs are focusing on AI investment, agile operations, and strategic growth to navigate disruption and lead competitively.
About the Author
Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.