Build Your Own Custom AI Girlfriend Agent with LangChain & Gemini
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Create a sophisticated, self-hosted AI girlfriend agent powered by LangChain and Google Gemini. This workflow allows for deep customization of personality, language, and interaction style, offering a unique conversational AI experience.
About This Workflow
Unleash the power of AI to build a truly personalized conversational agent. This n8n workflow, leveraging the cutting-edge capabilities of LangChain and Google Gemini, enables you to construct a custom AI girlfriend with a defined personality, specific communication style, and a persistent memory. Imagine an AI that understands your nuances, responds with wit and charm, and remembers your conversations. This self-hosted solution gives you complete control over your AI's development and deployment, making it ideal for developers and AI enthusiasts looking to explore advanced chatbot functionalities and create unique, engaging AI companions.
Key Features
- Deep Personality Customization: Define your AI's persona with specific traits, demeanor, and conversational style through prompt engineering.
- LangChain Integration: Harness the power of LangChain for robust AI agent development, including memory management and prompt construction.
- Google Gemini Power: Utilize the advanced natural language processing and generation capabilities of Google's Gemini models.
- Self-Hosted Control: Maintain full ownership and control over your AI agent's data and operations.
- Persistent Conversation Memory: Implement windowed memory to ensure your AI recalls past interactions, fostering more natural conversations.
How To Use
- Configure Gemini Credentials: Ensure your Google Gemini API key is set up. You can obtain one from Google AI for Developers.
- Customize the Prompt: Navigate to the
Construct & Execute LLM Promptnode. Within its code editor, modify thetemplatestring to define your AI's personality, language (e.g., Chinese in the example), and interaction rules. Crucially, preserve the{chat_history}and{input}placeholders for LangChain to function correctly. - Adjust Conversation History: In the
Store conversation historynode, you can adjust parameters to control how much of the previous conversation the AI remembers. - Select Language Model: Optionally, you can swap to different language models by modifying the
modelNamein theGoogle Gemini Chat Modelnode or by connecting a different AI model node. - Test and Deploy: You can test the workflow directly within the n8n editor using the 'Chat' button. To deploy, activate the workflow; the
When chat message receivednode will provide a URL to access your AI's chat interface.
Apps Used
Workflow JSON
{
"id": "5d749aeb-8d03-465b-96b3-e7f0e157c60e",
"name": "Build Your Own Custom AI Girlfriend Agent with LangChain & Gemini",
"nodes": 11,
"category": "Marketing",
"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: 5d749aeb-8d03...
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