iSharkFly-Docs/amazon-bedrock-agentcore-samples

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Bharathi Srinivasan e746bf7764 Features folder revamp (#1540 )

adding scripts for agentcore features; jupyter notebooks moved to workshops; reorganising folders

2026-05-20 18:35:16 -07:00

..

Features folder revamp (#1540 )

2026-05-20 18:35:16 -07:00

end-to-end-weather-agent

Features folder revamp (#1540 )

2026-05-20 18:35:16 -07:00

mcp-server-agentcore-runtime

Features folder revamp (#1540 )

2026-05-20 18:35:16 -07:00

multi-agent-runtime

Features folder revamp (#1540 )

2026-05-20 18:35:16 -07:00

nag_suppressions.py

Features folder revamp (#1540 )

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README.md

feat(cdk): reorganize CDK samples into python/ and typescript/ folders and add TypeScript CDK sample (#923 )

2026-02-05 10:32:37 -06:00

README.md

Python CDK Samples

Deploy Amazon Bedrock AgentCore resources using AWS CDK with Python.

Prerequisites

Python 3.8+
AWS CDK v2.218.0 or later (for BedrockAgentCore support)
AWS CLI configured
Access to Amazon Bedrock AgentCore

npm install -g aws-cdk

General Deployment Pattern

cd <sample-directory>
pip install -r requirements.txt
cdk deploy

Samples

basic-runtime/ - Simple agent deployment
multi-agent-runtime/ - Multi-agent system
mcp-server-agentcore-runtime/ - MCP Server with JWT authentication
end-to-end-weather-agent/ - Weather agent with tools and memory

Python CDK Advantages

Uses DockerImageAsset for container building (no CodeBuild needed)
Cleaner construct separation and reusability
Type hints with IDE support
Familiar syntax for Python developers
Faster deployment times