Amazon Bedrock AgentCore 建構統一智慧

• Session Architecture: Each AgentCore Runtime session executes in an isolated microVM with dedicated CPU, memory, and filesystem; microVMs fully terminate and sanitize memory upon session completion to prevent cross-session data access • Policy Enforcement: AgentCore Policy validates user permissions for specific tools with specific parameters using resource policies; AgentCore Gateway intercepts tool requests before execution and evaluates against policy layers while retrieving credentials from providers (Google Drive, Dropbox, Outlook) • Multi-Agent Orchestration: Supports multi-agent systems with specialized agents (e.g., contract collaboration, legal analysis, risk assessment, compliance evaluation) coordinated through central orchestrators with AWS Lambda and API Gateway managing requests • Tool Integration: AgentCore Gateway provides unified entry point supporting Model Context Protocol (MCP) servers, API Gateways, and AWS Lambda functions; gateway interceptors enable custom authorization logic, rate limiting, and audit logging • Code Execution: AgentCore Code Interpreter enables AI agents to write and execute code in sandbox environments; AgentCore Browser provides secure, cloud-based browser for website interaction • Memory Management: AgentCore Memory enables personalized interactions and context persistence across sessions; supports stateful execution for maintaining conversation history and domain-specific context • Quality Assurance: Bedrock Guardrails integrate Automated Reasoning checks to validate model responses and prevent hallucinations; model distillation reduces costs and latency without sacrificing accuracy

Amazon Bedrock AgentCore represents a significant shift toward enterprise-grade agentic AI infrastructure, addressing critical production deployment challenges through managed services that abstract complex operational concerns. The platform's emphasis on security, compliance, and observability positions AWS to capture regulated industry adoption in healthcare, finance, and legal sectors where hallucination prevention and audit trails are mandatory. The integration with identity providers (Okta Auth0) and emerging standards (MCP) suggests an ecosystem approach where AgentCore becomes the foundational layer for multi-vendor agent deployments. The availability of specialized components (Memory, Gateway, Browser, Code Interpreter) indicates AWS's strategy to build a comprehensive agent platform rather than point solutions, potentially establishing AgentCore as the de facto standard for enterprise agentic AI similar to how Lambda became standard for serverless computing. Organizations adopting AgentCore early gain competitive advantages in automating complex workflows (contract management, business intelligence, data analysis) while maintaining compliance and security postures.