Scalable multi-agent chat using @mentions
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs when a chat message arrives. Along the way it connects OpenRouter Chat Model.
How it runs
Trigger: When a chat message arrives.
- Define Global Settings (Code): runs custom JavaScript code
- Define Agent Settings (Code): runs custom JavaScript code
- Extract mentions (Code): runs custom JavaScript code
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Combine and format responses (Code): runs custom JavaScript code
- First loop? (If): checks a condition and branches into true / false
- Set user message as input (Edit Fields (Set)): sets 1 field: chatInput
- Set last Assistant message as input (Edit Fields (Set)): sets or maps fields
- AI Agent: runs an AI agent, with model: OpenRouter Chat Model; memory: Simple Memory
- Set lastAssistantMessage (Edit Fields (Set)): sets 1 field: lastAssistantMessage
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.8): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.8) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Code
n8n-nodes-base.code - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Edit Fields (Set)
n8n-nodes-base.set - If
n8n-nodes-base.if - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter
From the author
Summary Engage multiple, uniquely configured AI agents (using different models via OpenRouter) in a single conversation. Trigger specific agents with @mentions or let them all respond. Easily scalable by editing simple JSON settings. Overview This workflow is…