Creating a AI Slack bot with Google Gemini
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 5 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Gemini Chat Model and Slack.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Agent (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; memory: Window Buffer Memory
- Send response back to slack channel (Slack): uses Slack
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 Agent (v1): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Agent (v1) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (5)
- Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Slack
n8n-nodes-base.slack - Webhook
n8n-nodes-base.webhook - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
This is an example of how we can build a slack bot in a few easy steps Before you can start, you need to o a few things 1. Create a copy of this workflow 2. Create a slack bot 3. Create a slash command on slack and paste the webhook url to the slack command…