AI Chat Agent with Memory and Search
An n8n workflow integrating OpenAI GPT-4o-mini chat model, SerpAPI for web search, and a memory buffer to create an AI chat agent that handles incoming chat messages, performs real-time web queries, and maintains context for conversational interactions.
Apps in this workflow
How it works
- Chat Trigger1
- AI Agent2
- Chat Memory3
- OpenAI Chat Model4
- SerpAPI Tool5
The building blocks this workflow uses, in the order data flows through them.
What you'll need
- An n8n instance (self-hosted or n8n Cloud).
- An API key for OpenAI in n8n: the workflow calls the model each time it runs.
Gydmation shows step-by-step credential setup for each app, so your keys go straight into n8n and never to Gydmation.
Make it yours in plain English
Open the template in Gydmation and describe the change. It edits the workflow, checks it against real n8n node schemas, and deploys it to your n8n. For example:
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