
Developed a comprehensive AWS Agent Registry tutorial for the awslabs/amazon-bedrock-agentcore-samples repository, focusing on IAM governance and a manual approval workflow to enhance agent onboarding security and compliance. The work covered the full registry lifecycle, including creation, record management, governance testing, search, and cleanup, with support for MCP, A2A, and CUSTOM agent types. Leveraged AWS, Python, and DevOps practices to validate IAM policies for different user personas and ensure only vetted agents are discoverable. Updated the architecture diagram to reflect the latest registry design and ensured compatibility with boto3 and related prerequisites, supporting robust agent governance workflows.
Month: 2026-04. Focused on delivering a comprehensive AWS Agent Registry tutorial with IAM governance and a manual approval workflow. Implemented end-to-end lifecycle coverage (create, records, governance tests, search, cleanup) across MCP, A2A, and CUSTOM types, with manual approvals to ensure only vetted agents are discoverable. Updated architecture diagram and validated IAM policies for different user personas. This work enhances security, compliance, and discoverability in agent onboarding for Bedrock samples.
Month: 2026-04. Focused on delivering a comprehensive AWS Agent Registry tutorial with IAM governance and a manual approval workflow. Implemented end-to-end lifecycle coverage (create, records, governance tests, search, cleanup) across MCP, A2A, and CUSTOM types, with manual approvals to ensure only vetted agents are discoverable. Updated architecture diagram and validated IAM policies for different user personas. This work enhances security, compliance, and discoverability in agent onboarding for Bedrock samples.

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