newsAWS Machine LearningTrust 88 · LabPublished 9d agoLive · 9d ago
Build an AI-powered AWS support companion with Amazon Bedrock AgentCore
In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through the Model Context Protocol (MCP). By the end, you have a working agent that can analyze CloudWatch logs, search AWS documentation, query community knowledge from AWS re:Post, and create support cases, all from a single conversational interface. The solution deploys with a single script using AWS CloudFormation and inclu
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 59%awslabs/fullstack-solution-template-for-agentcore →
- PossiblePossibly related (embedding) · 55%bgdnvk/clanker →
- PossiblePossibly related (embedding) · 54%EKKOLearnAI/hermes-studio →
- PossiblePossibly related (embedding) · 53%Agent-Field/agentfield →
- PossiblePossibly related (embedding) · 52%stdapi-ai/stdapi.ai →
- PossiblePossibly related (embedding) · 50%MarcoPorcellato/matryca-plumber →
- PossiblePossibly related (embedding) · 51%aws-samples/bedrock-chat →
