AWS Unveils Amazon Bedrock AgentCore to Simplify AI Agent Development
AWS introduces Amazon Bedrock AgentCore, a new platform to streamline AI agent deployment and management.
AWS has unveiled Amazon Bedrock AgentCore, a new platform designed to simplify the creation and deployment of AI agents. Announced at the AWS Summit New York 2025, the platform aims to transform AI agents from experimental tools into production-ready solutions.
Key Features of Amazon Bedrock AgentCore
- AgentCore Runtime: A secure serverless runtime for deploying and scaling AI agents.
- AgentCore Memory: Enables context-aware agents by managing memory infrastructure.
- AgentCore Identity: Securely accesses AWS services and third-party tools.
- AgentCore Gateway: Facilitates agent deployment across millions of connections.
- AgentCore Code Interpreter: Allows agents to write and execute code securely (supports JavaScript and Python).
- AgentCore Browser Tool: A cloud-based browser runtime for agent interactions with websites.
- AgentCore Observability: Monitors and debugs agent performance in production.
Swami Sivasubramanian, VP of AWS Agentic AI, described the launch as a "tectonic change" in software development, emphasizing its potential to redefine how software interacts with the world.
Availability
The platform is currently in preview, with a full launch expected soon. Developers can pick and choose tools to suit their needs, enabling scalable and flexible agent deployment.
Related Reads
- AWS launches Kiro, an agentic AI IDE, to end the chaos of vibe coding
- Understanding the vibe coding trend and considerations for developers
- Best laptop for programming
This launch underscores AWS's commitment to advancing AI agent technology, making it more accessible and efficient for developers worldwide.
Related News
IBM Launches New AI Agents for Oracle Fusion Applications
IBM introduces three new AI agents for Oracle Fusion Cloud Applications, automating enterprise tasks and enhancing operational efficiency.
Heidi Health secures 65M Series B funding for AI medical scribe
Heidi Health raised 65 million in Series B funding led by Steve Cohens Point72 Private Investments to expand its AI medical scribe platform.
About the Author

Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.