sample agentic frameworks on aws
Basic Information
This repository provides examples and reference architectures for building autonomous, agentic AI systems on AWS. It collects sample projects and notebooks that demonstrate how to integrate popular open source agentic frameworks and models with AWS services to create production-ready agent applications across different industry verticals. The README highlights layered concerns of the agent stack including foundational models, orchestration, memory, tools, observability and evaluation, and deployment patterns. Included examples span use cases such as agent memory for insurance, a serverless multi-agent A2A protocol, an AWS infrastructure security auditing crew, customer support automation using Amazon Bedrock with LangGraph and Mistral models, and vision question-answering with LlamaIndex. The repository also points to AWS blog posts and hands-on workshops that explain patterns and integrations and is published under the MIT-0 license with contribution guidance and security notes.
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