Build Your Own Custom AI Girlfriend Agent with LangChain & Gemini
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Create a personalized AI companion using the power of LangChain and Google Gemini. This workflow allows you to self-host and customize an AI agent with specific personality traits and interaction styles, all within an intuitive no-code environment.
About This Workflow
Unlock the potential of advanced AI to build your own custom conversational agent. This n8n workflow seamlessly integrates LangChain's robust framework with Google Gemini's cutting-edge language models to create a sophisticated, self-hosted AI. Define your agent's unique persona, conversation style, and even its primary language. Whether you're looking for a creative chatbot for storytelling, a personalized assistant, or a unique conversational partner, this workflow provides the foundation. Leverage the flexibility of n8n to visually construct, configure, and deploy your AI agent without extensive coding, making advanced AI accessible to everyone.
Key Features
- Customizable Persona Definition: Precisely define your AI agent's personality, demeanor, and conversational tone through detailed prompt engineering.
- LangChain Integration: Harness the power and flexibility of LangChain for sophisticated AI agent construction.
- Google Gemini Power: Utilize the advanced capabilities of Google's Gemini models for intelligent and nuanced responses.
- Self-Hosted Flexibility: Deploy and manage your AI agent on your own infrastructure for complete control and privacy.
- Intuitive Visual Workflow: Build and modify your AI agent using n8n's no-code, drag-and-drop interface.
How To Use
- Set Up Gemini Credentials: Obtain your Google Gemini API key and configure it within n8n's credentials section.
- Configure Trigger: In the
When chat message receivednode, customize the webhook settings and response mode. - Define Agent Persona: Navigate to the
Construct & Execute LLM Promptnode and edit thecodeparameter. Modify thetemplatestring to define your AI agent's personality, language (e.g., Chinese in the example), and interaction rules. - Adjust Memory: In the
Store conversation historynode, configure thewindowSizeparameter to control how much conversation history the AI remembers. - Select Language Model: In the
Construct & Execute LLM Promptnode, ensure theai_languageModelinput is correctly connected to your chosen AI model (e.g., Google Gemini). - Test and Deploy: Use the "Chat" button in the n8n editor for immediate testing, or activate the workflow to get a public URL for your AI agent.
Apps Used
Workflow JSON
{
"id": "111af61f-26f2-4d05-92b4-75e25ef52c7e",
"name": "Build Your Own Custom AI Girlfriend Agent with LangChain & Gemini",
"nodes": 25,
"category": "Personal",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 111af61f-26f2...
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