Pluggable Agentic AI Framework is a hands-on workshop that builds a multi-agent customer support system on AWS using Amazon Bedrock AgentCore. It follows the scenario of AnyCompany, an online retailer, where a supervisor orchestrator dynamically discovers and delegates to specialized agents via harness
Enterprise Supply Chain AI Assistant powered by Amazon Bedrock AgentCore & Strands Framework. Features secure VPC isolation, OpenSearch RAG, and automated CDK deployment.
This code demonstrates building production-grade agentic applications with Strands Agents SDK, Amazon Bedrock AgentCore Memory, and AgentCore Runtime — from local prototyping through to cloud-hosted deployment.
Enterprise identity on Amazon Bedrock AgentCore with Lark (Feishu) as the IdP. A Gateway Request Interceptor forwards the user's identity and injects a per-user credential — the agent never holds it — so downstream MCP tools act as the user against Lark and reach only what that user can.
Enterprise identity on Amazon Bedrock AgentCore with Lark (Feishu) as the IdP. Per-user Lark tokens live in the AgentCore Identity Token Vault (OAuth 3LO) — stored, refreshed, and injected natively, no custom interceptor. Downstream MCP tools act as the user against Lark, reaching only what that user can.
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