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.

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

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

AWS Bedrock AgentCore Runtime and Memory

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.