A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.
AWS Bedrock AgentCore with Langbase
Opensource full fledged Ai recipes backed with python, angular, react
DEMO for a simple multi-agent collaboration solution on AWS with new Bedrock capabilities
Agentic AI approach connecting 3 agents to do real-time credit score evaluations, interest rate calculation based on payment history, and auto-generation of letter of decisions
An AI agent for admissions that delivers a seamless admissions counselor experience that understands student needs, answers questions, and facilitates advisor connections.
You’ll explore foundational AI concepts and then dive deep into building real-world GenAI applications. From there, the book guides you into the realm of Agentic AI, detailing how to design intelligent agents capable of perception, reasoning, planning, decision-making, and dynamic collaboration.
A small code snippet as a part of "How to Write an Agent" Blog Post
Agent-driven AWS solution that autonomously analyzes, understands, and structures complex contract PDFs into actionable, machine-readable outputs
AI-powered blog automation for cycling tourism: Claude AI + Google Keyword Planner + AWS Lambda. Generates SEO-optimized articles with human-in-the-loop approval. <$100/month.
Document Entity Extraction using AWS Bedrock
Use Python and the Strands library to create very low-code agents that interact with AWS Bedrock models and services. I'll also use the built-in Strands tools to give the agent more capabilities to: make HTTP calls, lookup the current time, and invoke the AWS CLI
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