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 has accelerated with the adoption of standardised 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 eliminates tedious infrastructure work and operational complexity so development teams can bring agentic solutions to market faster,” Amazon said in a blog post.
AgentCore offers enterprise-grade services that handle key operational components of agent development. These include a serverless runtime environment with session isolation, long- and short-term memory management, execution observability with metadata and debugging tools, and secure identity integration for accessing AWS and third-party services such as GitHub and Slack.
The platform also includes managed browser instances for web-based workflows and a code interpreter to run 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.
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.
With AgentCore, Amazon is positioning itself at the centre of the agent infrastructure ecosystem, providing a foundational layer for developers to move beyond experimentation and build AI agents that operate reliably at scale.
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