Overview
In this guide, we’ll create a CrewAI agent that:- Uses CrewAI to manage AI agents and tasks
- Leverages Mem0 to store and retrieve conversation history
- Creates personalized experiences based on stored user preferences
Setup and Configuration
Install necessary libraries:Store User Preferences
Set up initial conversation and preferences storage:Create CrewAI Agent
Define an agent with memory capabilities:Define Tasks
Create tasks for your agent:Set Up Crew
Configure the crew with memory integration:Main Execution Function
Implement the main function to run the travel planning system:Key Features
- Persistent Memory: Uses Mem0 to maintain user preferences and conversation history
- Agent-Based Architecture: Leverages CrewAI’s agent system for task execution
- Search Integration: Includes SerperDev tool for real-world information retrieval
- Personalization: Utilizes stored preferences for tailored recommendations
Benefits
- Persistent Context & Memory: Maintains user preferences and interaction history across sessions
- Flexible & Scalable Design: Easily extendable with new agents, tasks and capabilities