Remember per-customer chat history with Amazon Bedrock AgentCore
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 4 nodes and runs when a chat message arrives. Along the way it connects Agentcore (community).
How it runs
Trigger: When a chat message arrives.
- Set Customer Identity (Edit Fields (Set)): sets 3 fields: agentName, customerId, userMessage
- Answer With Customer Memory (Agent Core Harness): uses Agent Core Harness
- Format Chat Reply (Code): runs custom JavaScript code
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @aws/n8n-nodes-agentcore is verified or supports 3.0 (used in Answer With Customer Memory).
Nodes used (4)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Edit Fields (Set)
n8n-nodes-base.set - Agent Core Harness
@aws/n8n-nodes-agentcore.agentCoreHarness - Code
n8n-nodes-base.code
From the author
Quick Overview This workflow uses the n8n chat trigger and Amazon Bedrock AgentCore to run a support assistant that keeps long-term, per-customer memory across separate chat sessions, then formats the agent response into a safe plain-text reply. How it works…