Agentic AI Frameworks on AWS (LangGraph,Strands,CrewAI,Arize,Mem0)
We’ve published a set of open-source reference implementations on how to build production-grade Agentic AI applications on AWS. What’s in the repo: • Agentic RAG, memory, and planning workflows with LangGraph & CrewAI • Strands-based flows with observability using OTEL & Arize • Evaluation with LLM-as-judge and cost/performance regressions • Built with Bedrock, S3, Step Functions, and more GitHub: https://github.com/aws-samples/sample-agentic-frameworks-on-... Would love your thoughts — feedback, issues, and stars welcome!
Agentic AI Frameworks on AWS (LangGraph,Strands,CrewAI,Arize,Mem0) launched on August 2, 2025 with 7 votes, #3,174 of 8,530 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks. - aws-samples/sample-agentic-frameworks-on-aws
This repository provides examples and reference architectures for building autonomous agents using popular frameworks on AWS services. These examples demonstrate how to leverage AWS services to create production-ready agent applications for various industry verticals. Examples will cover different layers of the agent stack including foundational models, orchestration, memory, tools, observability and evals, deployment patterns. We welcome contributions! Please read our Contributing Guidelines for details on how to submit pull requests, report issues, and contribute to the project. This library is licensed under the MIT-0 License. See the LICENSE file. Build Agentic AI solutions on AWS,…from github.com
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