What are your thoughts on Amazon Bedrock AgentCore's general availability for enterprise agent deployment?
Amazon Bedrock AgentCore's October 2025 GA release with 7 core services (Runtime with 8-hour long-running support, Memory, Gateway, Identity, Observability, Code Interpreter, Browser Tool) plus MCP server integration enabling any framework (CrewAI, LangGraph, LlamaIndex, Google ADK, OpenAI Agents SDK) across any model represents AWS's full-stack commitment to production-grade agent infrastructure, directly competing with Microsoft Agent Framework and Google Vertex AI at a moment when 85% of enterprises are implementing agents by EOY 2025.
How could universal agent infrastructure fundamentally change how businesses deploy AI automation?
Instead of businesses spending months building custom agent orchestration systems and debugging framework incompatibilities, a unified infrastructure layer supporting any framework with any model means a team could prototype with CrewAI on Claude, scale with LangGraph on GPT-5, and add LlamaIndex for RAG workflows - all within the same production environment with enterprise-grade session isolation, long-term memory, and OAuth-enabled security - transforming what used to require dedicated platform engineering teams into turnkey deployments that let developers focus on business logic rather than infrastructure plumbing.
What can I do now to prepare?
Start mapping your current agent experiments and pilots to the specific services they actually need (8-hour runtime for complex workflows, cross-agent memory for personalization, secure tool discovery for enterprise integration, or browser automation for web tasks), because when you understand which AgentCore services solve which real problems in your stack, you'll be able to migrate strategically rather than reactively - and your competitors who treat 'agent infrastructure' as an abstract concept rather than concrete service requirements will waste months rebuilding what AgentCore already provides out of the box across 9 AWS regions.