Overview
Agentic AI moves beyond prompts and chat. Autonomous agents plan multi-step work, call your tools, and complete end-to-end tasks with minimal oversight, though running them reliably in production is genuinely hard. CloudVantage helps teams move agents from proof of concept to production on AWS, combining open-source flexibility with the security, governance, and scale of Amazon Bedrock AgentCore.
How It Works
AgentCore gives developers the services and tools to make agents more effective, the infrastructure to securely scale them, and the controls to operate them trustworthily. It is composable and works with any open-source framework (LangChain, Strands Agents, CrewAI) and any foundation model, so you never have to choose between open-source flexibility and enterprise-grade security.
With just a few lines of code, AgentCore integrates with your existing frameworks and automatically provisions the infrastructure, reducing development time from months to hours so your team can focus on innovation rather than operations.
Frequently Asked Questions
What is Amazon Bedrock AgentCore?
AgentCore enables developers to accelerate AI agents into production with the scale, reliability, and security critical to real-world deployment. It provides services and tools to make agents more effective, purpose-built infrastructure to securely scale agents, and controls to operate trustworthy agents. It is composable and compatible with any open-source framework and any model.
Who is AgentCore designed for?
AgentCore is designed for organizations who want to move AI agents from proof of concept, built using open-source or custom agent frameworks, to production. It serves developers and enterprises who need robust infrastructure for dynamic execution, controls to monitor behavior, and tools to enhance agents as the landscape evolves.
Which foundation models can I use?
AgentCore is model-agnostic. It works with any foundation model in or outside Amazon Bedrock, including OpenAI, Google’s Gemini, Anthropic’s Claude, Amazon’s Nova, Meta Llama, and Mistral models.
Which protocols does it support?
AgentCore supports Model Context Protocol (MCP) with Agent-to-Agent protocol support coming soon, making AWS a preferred platform for hosting AI agents regardless of the protocols you use.
Why CloudVantage
As an AWS Partner, we design, build, and operate agentic AI solutions that fit your data, your compliance requirements, and your budget, from a focused first use case up to enterprise-scale agent platforms.