KAIROS is a personal AI operating system built on a Neo4j knowledge graph, MCP integrations, and agents on Amazon Bedrock AgentCore. Here's the stack, the design decisions, and what broke along the way.
Deploying AI tools shouldn’t require a DevOps degree. This guide shows developers how to deploy custom tools built with the Model Context Protocol (MCP) to Amazon Bedrock AgentCore Runtime in under 3 minutes. You’ll learn how to set up OAuth2 authentication with Amazon Cognito, launch a fully scalable HTTPS endpoint, and monitor performance—all without managing servers, containers, or scaling logic. Whether you’re building your first tool or scaling a fleet of agents, this is the fastest way to go from local script to production-ready AI infrastructure.
Disclaimer: The views expressed in this post are my own and do not reflect the views of my employer or any organisation I’m affiliated with.
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