August 6, 2025
5 min read
Kieron Allen
Explore how Amazon Bedrock AgentCore streamlines AI agent development with enterprise-grade tools for secure, scalable deployment.
Simplifying Agentic AI: Inside Amazon Bedrock AgentCore’s Capabilities
While standardized protocols like Model Context Protocol (MCP) and Agent2Agent (A2A) have simplified agentic AI operations across multi-system infrastructures, development platforms have made agent building easier. However, developers still face significant challenges. In a recent blog post, Danilo Poccia, Chief Evangelist (EMEA) at AWS, highlights these challenges: developers and AI engineers often spend months building foundational infrastructure for session management, identity controls, memory systems, and observability — all while supporting security and compliance. The AWS solution to these challenges is Amazon Bedrock AgentCore. This article explores the services Amazon Bedrock AgentCore offers and how they help developers deploy and operate multiple AI agents quickly and securely at scale, using any framework, model, or host.Amazon Bedrock AgentCore
Currently available in preview, Amazon Bedrock AgentCore is a comprehensive suite of enterprise-grade services designed to simplify agentic AI development and operations. Key components include:- AgentCore Runtime: Provides low-latency, serverless environments with session isolation. It supports various agent frameworks, including open-source tools and models, as well as multimodal workloads.
- AgentCore Memory: Manages session and long-term memory, supplying contextual data for models and historical knowledge to improve agent training.
- AgentCore Observability: Offers transparency through step-by-step visualization of agent execution, including metadata tagging, custom scoring, trajectory inspection, and debugging filters.
- AgentCore Identity: Ensures secure access to AWS services and third-party tools such as GitHub, Salesforce, and Slack, either directly or with pre-authorized user consent.
- AgentCore Gateway: Converts APIs and AWS Lambda functions into tools ready for agents, enabling unified access across multiple protocols.
- AgentCore Browser: Provides managed web browser instances to scale agents’ web automation workflows.
- AgentCore Code Interpreter: Delivers a secure, isolated environment to execute code generated by agents. These services are optimized to work seamlessly together but can also be used independently. Adding new services is straightforward, with full compatibility across open-source and custom AI agent frameworks. Ultimately, AgentCore reduces the complexity of managing agent-based AI infrastructure and operations, enabling teams to deliver agents faster, more accurately, and with less manual effort.
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Closing Thoughts
With the rise of low-code and no-code tools and ambitious visions from leaders like Salesforce’s Marc Benioff about ecosystems of billions of agents, the complexity of agentic AI development can be overlooked. AWS’s new suite of tools addresses the unique challenges developers face when designing and launching agentic AI solutions tailored to their business needs. While foundational models, diverse platforms, and unified protocols supporting interoperability exist, bridging these innovations securely and compliantly remains critical. Technologies like Amazon Bedrock AgentCore accelerate development and innovation while ensuring security and compliance, making them essential for enterprises adopting agentic AI.Source: Originally published at Cloud Wars on August 5, 2025.