Amazon Web Services (AWS) has announced new capabilities and tools to build AI agents. Amazon Bedrock AgentCore, which will allow customers to deploy and operate highly capable AI agents securely at scale, is one such tool.
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| Source: AWS video. Screen capture from the AWS Summit New York keynote with Swami Sivasubramanian. |
Swami Sivasubramanian, AWS VP for Agentic AI, said AI agents change "how software interacts with the world—and how we interact with software.”
Amazon Bedrock AgentCore
AgentCore is a set of services to deploy and operate AI agents using any framework and model. It helps developers bridge the critical gap between proof of concept and production for AI agents. It delivers composable solutions that allows organisations to move agents from prototypes to applications that can scale to millions of end-users. Customers like Innovaccer, Boomi, Epsilon, and Box are already building with AgentCore, AWS said.
A new AWS Marketplace category
At the AWS Summit, Sivasubramanian unveiled AI Agents and Tools in AWS Marketplace, which allows customers to discover, buy, deploy, and manage AI agents and tools from leading providers. CyberArk, Solace and Confluent have already announced solutions for this category.
With AI Agents and Tools in AWS Marketplace, customers have streamlined search access to a one-stop shop for AI agent solutions and tools, allowing them to fast-track AI initiatives. They can build faster with these ready-to-integrate solutions, developing their AI strategies with professional services that specialise in building, maintaining, and scaling agents.
Free and low-cost AWS courses
More than 135 AWS trainings on AI and machine learning (ML) are available to everyone, with all levels of experience.
AWS Generative AI Innovation Center
To accelerate customers’ development of autonomous, agentic AI systems, AWS is making a second US$100 M investment in the AWS Generative AI Innovation Center. The funding builds on two years of the centre empowering thousands of customers around the world to boost productivity and transform their customers’ experiences.
A global team of AI scientists, strategists, and engineers works directly with customers and partners to solve the most complex challenges in AI implementation. BMW built an AI solution on AWS that transforms how they diagnose network issues for over 23 million connected vehicles. Companies like Syngenta and AstraZeneca have also seen transformative results with agentic AI, AWS said.
New Amazon Nova capabilities
A suite of customisation capabilities is now available for Amazon Nova models on Amazon Sagemaker AI, with support for SageMaker HyperPod. This will allow customers to further adapt Nova models for their own needs.
Also, enhancements to the Nova Act software development kit (SDK) will now bring additional security and access controls, helping developers take their prototypes to production and build agents that can reliably take action in web browsers.
Amazon S3 Vectors preview
Amazon S3 Vectors is the first cloud object storage with native vector support for AI workloads. With S3 Vectors, customers can reduce the cost of storing and querying vectors by up to 90% compared to conventional methods, making it cost-effective to retain and use large vector datasets to enhance AI as well as semantic search results of S3 data.
It integrates with Amazon Bedrock Knowledge Bases and OpenSearch Service to streamline and reduce the cost of retrieval-augmented generation (RAG) and vector search operations.
Kiro
Kiro is a new IDE (integrated development environment) for developers that simplifies the developer experience when working with AI agents on software development projects. With Kiro, developers can vibe code or go beyond with features like specs and hooks that allow them to collaborate with agents on a detailed plan and automatically trigger agent workflows to help with tasks like running tests or generating documentation.
New MCP resources
Model Context Protocol (MCP) is an emerging standard that helps agents connect to data sources, tools, memory banks, and more. A new local AWS API MCP server contains complete knowledge of the full AWS API surface, allowing developers to vibe code with AWS and making it easier for any software assistant to become an AWS expert.
A second resource, the AWS Knowledge MCP server, offers an always-up-to-date MCP with comprehensive knowledge of AWS docs. It’s fully managed, continuously updated, and accessible remotely from any MCP client of your choice.
TwelveLabs AI models
AWS is the first cloud provider to offer models from TwelveLabs. TwelveLabs AI transforms video libraries into searchable, actionable assets by processing visual, audio, and text elements simultaneously. Customers can now discover and work with content near instantly through natural language prompts, all underpinned by the security, privacy, and performance of AWS.
Llama 4 models
Meta’s Llama 4 models now available on Amazon Web Services. Access Meta's most powerful AI models to date in Amazon Bedrock and Amazon SageMaker JumpStart.
Strands
AWS announced updates to the open source SDK Strands Agents, a new developer tool that makes it easier to create AI systems where multiple AI agents work together to solve complex problems. The technology reduces what previously took months of complicated technical work into a process that takes hours, allowing businesses to build coordinated teams of AI assistants that can handle customer service, data analysis, and other complex tasks.
AWS AI League
AWS launched the AWS AI League where developers can compete to solve real-world challenges with generative AI, while learning skills essential for innovating within their organisation. The programme offers up to US$2 million in AWS credits for developers to get hands-on experience in fine-tuning, model customisation, and prompt engineering. Top performers win all-expense-paid trips to AWS re:Invent and cash prizes.
Early-career professionals
AWS is providing students at more than 6,600 AWS Academy institutions free access to AWS Skill Builder’s subscription-tier training content and AWS Certification exam vouchers to build essential AI skills. Non-Academy students and recent graduates can access research that identifies promising opportunities and the recommended free learning plans in Skill Builder to pursue them. AWS has a goal to engage with 2.7 million students and early-career professionals globally within the first year.
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