Amazon Bedrock AgentCore, launched in preview in July 2025, is a fully managed, modular platform designed to deploy, operate, and scale secure, enterprise-grade AI agents using any open-source framework and foundation models inside or outside of Amazon Bedrock. It provides purpose-built infrastructure for dynamic, long-running, multi-step agent workloads with strong security, flexibility, and observability.
Key Capabilities of Amazon Bedrock AgentCore:
- Secure, scalable deployment: Supports long-running agent processes (up to 8 hours) with complete session isolation and native integration for identity and access management, allowing seamless agent authentication and permission delegation across services.
- Agent enhancement tools:
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- Persistent memory for maintaining agent knowledge across interactions with fine-grained developer control over short-term and long-term memory.
- Built-in tools including a secure browser runtime to enable agents to perform complex web-based workflows.
- A secure code interpreter for safe execution of code needed for tasks like data visualization.
- Operational monitoring: Offers real-time dashboards via Amazon CloudWatch to track token usage, latency, session duration, error rates, and full workflow auditability to aid debugging, compliance, and operational insights. Integrates with existing monitoring systems through OpenTelemetry.
- Flexible integration: Works with any AI agent framework such as CrewAI, LangGraph, LlamaIndex, and Strands Agents. Supports any foundation model inside or outside Amazon Bedrock, letting developers build agents “their way” with full control over integration and operation.
- Enterprise-grade security and trust: Provides session isolation, password and token vaults, secure authorization protocols, and tools to enforce just-enough access principles ensuring agents operate safely at scale.
Modular Services:
- AgentCore Runtime: Serverless, secure runtime for deploying and scaling AI agents with fast cold starts and payload support for multi-modal data types.
- AgentCore Identity: Seamless, OAuth-compatible identity and access management that integrates with existing identity providers, simplifying authentication and consent management.
- AgentCore Memory: Manages agent memory infrastructure with features for sharing knowledge across sessions and agents, improving personalization and contextual awareness.
Use Cases & Customers:
- Financial services leader Itaú Unibanco uses AgentCore for hyper-personalized, secure, scalable banking AI agents.
- Innovaccer builds healthcare AI agents that safely interface with sensitive data via Bedrock Gateway.
- Epsilon accelerates personalized marketing campaigns by reducing build times and boosting engagement.
- Box experiments with Bedrock AgentCore runtime for enterprise content management enhanced by agentic AI.
Benefits:
- Accelerates AI agent development from prototype to production by offloading infrastructure complexity.
- Enables enterprises to deploy sophisticated, tool-augmented AI agents with persistent memory and web/code interaction capabilities securely and at scale.
- Helps ensure operational reliability, security, and compliance with end-to-end observability and controls.
In summary, Amazon Bedrock AgentCore is a comprehensive, secure, and flexible platform for enterprises to rapidly build, deploy, and scale intelligent agentic AI across various domains with full control over tooling, identity, memory, and observability. It supports any framework or foundation model and is designed to meet demanding enterprise requirements for security, scalability, and compliance.
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