{"product_id":"n8n-workflow-per-customer-memory-with-amazon-bedrock-agentcore","title":"n8n Workflow: Per-Customer Memory with Amazon Bedrock AgentCore","description":"\u003ch3\u003eTurn n8n chat into a support assistant that remembers each customer—across sessions\u003c\/h3\u003e\n\u003cp\u003eThis n8n workflow uses an \u003cstrong\u003eAmazon Bedrock AgentCore\u003c\/strong\u003e support agent with \u003cstrong\u003emanaged long-term memory\u003c\/strong\u003e, so your assistant can maintain \u003cstrong\u003eper-customer context\u003c\/strong\u003e between separate chat sessions and return a clean, safe plain-text response to the n8n chat interface.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this workflow does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eReceives each incoming message\u003c\/strong\u003e from the \u003cstrong\u003en8n chat trigger\u003c\/strong\u003e as a separate execution.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSets the agent name\u003c\/strong\u003e and \u003cstrong\u003eresolves a customer identifier\u003c\/strong\u003e (by default, it uses the chat session ID—ideal for testing).\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003ePasses the user’s message\u003c\/strong\u003e into \u003cstrong\u003eAmazon Bedrock AgentCore\u003c\/strong\u003e while enabling \u003cstrong\u003emanaged memory\u003c\/strong\u003e.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eScopes memory by customer and session\u003c\/strong\u003e using:\n    \u003cul\u003e\n      \u003cli\u003e\n\u003cstrong\u003eLong-term memory\u003c\/strong\u003e: keyed to \u003cstrong\u003eactor ID\u003c\/strong\u003e (customer)\u003c\/li\u003e\n      \u003cli\u003e\n\u003cstrong\u003eContinuity\u003c\/strong\u003e: keyed to \u003cstrong\u003esession ID\u003c\/strong\u003e\n\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eParses and normalizes the AgentCore response\u003c\/strong\u003e (including optionally fenced JSON) and returns a \u003cstrong\u003eplain-text output\u003c\/strong\u003e suitable for chat.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCustomer support with continuity\u003c\/strong\u003e: recall prior requests and preferences per user even after they leave and return.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eMulti-tenant SaaS assistance\u003c\/strong\u003e: map \u003ccode\u003ecustomerId\u003c\/code\u003e to your real user ID so each account has its own memory.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eOperational helpdesk bots\u003c\/strong\u003e: maintain context over time without manually storing conversation history.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNodes \/ components\u003c\/strong\u003e: set, code, sticky note, \u003cstrong\u003en8nn8n-nodes-langchainchat chat trigger\u003c\/strong\u003e, and \u003cstrong\u003eawsn8n-nodes-agentcore AgentCore harness\u003c\/strong\u003e.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAmazon Bedrock\u003c\/strong\u003e: requires an AgentCore API credential (AWS access key, secret, region, and execution role ARN).\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSetup step\u003c\/strong\u003e: update the \u003ccode\u003ecustomerId\u003c\/code\u003e mapping to your real user identifier (or keep the default chat session ID for testing).\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eOptional configuration\u003c\/strong\u003e: customize the AgentCore \u003cstrong\u003esystem prompt\u003c\/strong\u003e and \u003cstrong\u003eagent name\u003c\/strong\u003e to match your support policy and tone.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"N8N Commerce","offers":[{"title":"Default Title","offer_id":45785761218739,"sku":"N8N-17892","price":11.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0749\/6279\/6723\/files\/9kmaDDnkICHGp3OkPVwAE_wbdYaHGO.png?v=1786180610","url":"https:\/\/buyflowscripts.com\/products\/n8n-workflow-per-customer-memory-with-amazon-bedrock-agentcore","provider":"N8N Commerce","version":"1.0","type":"link"}