Curated GenAI implementation samples and resources for startup customers, created by the AWS Startup team based on real customer scenarios.
This repository provides practical examples, code samples, and architectural patterns specifically designed for startups building GenAI applications on AWS. Each sample addresses common challenges and use cases encountered by startup customers.
- Browse the
agentic-samples/directory for relevant use cases - Check
resources/for relevant resources - Follow individual sample README files for setup instructions
- agentic-samples: Agentic AI related samples
The qcli-strands-agentcore directory contains an Amazon Q Developer CLI custom agent specialized in Strands and Amazon Bedrock AgentCore development. This agent is equipped with tools, MCP servers, agent steering files, and a knowledge base to ensure agents are developed following best practices.
Key features:
- Pre-configured agent rules for Strands and AgentCore best practices
- Optional knowledge base integration for code samples and documentation
- AWS MCP server integrations for enhanced capabilities
- Conversational interface for building agentic applications
To get started with the Q CLI agent, checkout the README for detailed setup and usage instructions
- AWS Account with appropriate permissions
- AWS CLI configured
- Python 3.10+ or Node.js 18+ (varies by sample)
For questions or feedback:
- Open an issue in this repository
- Join our community discussions
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.
Maintained by the AWS WorldWide Specialists Startup Team and Startup Solutions Architects