AI agent in n8n with chat: calculations, Wikipedia…

This template implements an AI agent in n8n that interacts with users via a web chat, powered by Gemini or OpenAI and a set of built-in tools. Ideal for quickly launching a demo bot or building a foundation for a multi-functional assistant.

## Who it´s for
- n8n developers learning about AI agents with LangChain
- Automators wanting to add a chat interface to functional workflows
- Coaches and consultants demonstrating n8n’s capabilities
- Project owners needing to rapidly deploy a working AI bot

## What the automation does
- Processes incoming messages from a web chat via HTTP webhook
- Uses Gemini or OpenAI model to understand requests and select tools
- Performs actions: tells jokes, calculates dates, searches Wikipedia, generates passwords, computes loan payments, reads n8n blog RSS feed
- Maintains conversation context for natural dialogue
- Responds to the user through a public chat interface

## What´s included
- Ready-to-use n8n workflow with LangChain agent configuration
- Trigger and handler logic (chat_message, http_webhook)
- Integrations with Gemini API, OpenAI API, Wikipedia, JokeAPI, RSS Feed (n8n blog)
- Basic text guide for launch and adaptation

## Requirements for setup
- n8n instance (cloud or self-hosted)
- API key from Google Gemini or OpenAI
- Access to external APIs: JokeAPI, Wikipedia, n8n blog RSS (publicly available)
- Configured execution environment (environment variables, HTTPS if needed)

## Benefits and outcomes
- Rapid creation of an AI assistant without coding
- Simplified access to utility functions via natural language
- Useful learning example of LangChain integration in n8n
- Flexible base for extending with new tools
- Increased user engagement through interactive chat
- Time saved on prototyping an AI bot

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.