In today’s digital world, an AI assistant that recalls your likes boosts your experience. This guide helps you build a personalized AI assistant with n8n. Its memory holds details like your favorite food or interests.
Understanding Memory Types in AI
To build an effective AI assistant, know how memory works. Three memory types exist:
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Conversation History
This memory tracks one conversation only. It remembers details within a session. When you begin a new chat, the memory resets. -
Recent Memory with RAG (Retrieval-Augmented Generation)
Here, the assistant checks a database for recent behavior. For example, you say "I love the ocean." The assistant finds this fact and gives related hints in the same session. -
Long-Term Memory
This memory makes the assistant truly personal. It keeps your choices across sessions. Even with a new chat, the assistant uses your past details to tailor replies.
Setting Up Your AI Assistant in n8n
Now that you know the memory types, build your assistant by following these steps.
Step 1: Create a New Workflow
Open n8n and start a new workflow. Name it "Memory Agent." This workflow handles chats between you and your assistant.
Step 2: Add a Trigger Node
Add a trigger node for chat messages in n8n. It spots when a user sends a message.
Step 3: Integrate the AI Agent
Add a node for your AI agent. Set a system prompt to guide user interactions. For example, say: "You are a friendly AI assistant talking to [User’s Name]."
Step 4: Implement Memory Functionality
Add rules for storing preferences. When a user shares key details, call a tool to store this memory. Ensure the agent pulls stored details when replying.
Step 5: Testing the Assistant
Test your workflow by adding simple preferences; for example, "I like Italian food." The assistant should recall this detail to give personal suggestions.
For example:
- User: "Please recommend a restaurant in Cape Town."
- Assistant: "Since you like Italian food, I recommend [Italian Restaurant Name]."
Even with a new chat, the assistant recalls your choices.
Conclusion
By creating a personalized AI assistant with long-term memory, your preferences remain known. This n8n workflow makes chats more personal and clear. As you improve your assistant, explore new features. Knowing memory types is the key to a better AI experience.
