agentcore-memory

awsops

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

Serverless Telegram AI assistant on Amazon Bedrock AgentCore Runtime + Memory (OpenClaw agent): cross-session memory, vision recognition, and proactive EventBridge reminders.

Enterprise Supply Chain AI Assistant powered by Amazon Bedrock AgentCore & Strands Framework. Features secure VPC isolation, OpenSearch RAG, and automated CDK deployment.

Enterprise identity on Amazon Bedrock AgentCore with Lark (Feishu) as the IdP. Every turn arrives as a signed per-user JWT, and that user's Lark token lives in the AgentCore Identity Token Vault (OAuth 3LO) — stored and refreshed natively, no self-managed store. MCP tools act as the user against Lark, reaching only what that user can.

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.

Personal finance tracker agent on AWS — Amazon Bedrock AgentCore Runtime + Memory + Strands Agents

AWS Bedrock AgentCore Runtime and Memory

Customer support assistant built with Python, Strands, and Amazon Bedrock AgentCore. Includes order tracking, refunds, RAG, cross-session memory, loyalty calculations, and browser tools, with recorded Udacity coursework test evidence.

This is insurance underwriting agent developed at agentcore

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.