📘 Master AI Agents with Memory Capabilities | Complete Tutorial
Learn how to create powerful AI agents with memory capabilities using Python! This comprehensive guide shows you how to build AI agents that can remember previous conversations and maintain context across multiple interactions.
https://github.com/MervinPraison/Prai...https://docs.praison.ai/concepts/memoryhttps://mer.vin/2025/01/ai-agents-wit...
🔍 What You'll Learn:
How to implement both short-term and long-term memory in AI agents
Step-by-step guide to creating research and blog writing agents
Working with PraisonAI package for memory-enabled agents
Implementing internet search capabilities in AI agents
💻 Code & Resources:
Full Code: [Your GitHub Repository Link]
PraisonAI Documentation: [Documentation Link]
Python Package: pip install prisona-dugdgo-search
🔑 Key Features Covered:
Context retention across multiple tasks
Information sharing between agents
Long-term storage implementation
Short-term vs Long-term memory differences
Internet search integration
Multi-agent task execution
📚 Prerequisites:
Basic Python knowledge
OpenAI API key
Python environment setup
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Timestamp:
0:00 - Introduction to AI Agents with Memory
0:35 - Types of Memory & Key Advantages
1:05 - Creating Research & Blog Agents Overview
1:19 - Step-by-Step Implementation
2:29 - Running the Code & Demonstration
3:18 - Quick Tip for Simplifying Agent Creation
4:04 - Short-term vs Long-term Memory Explained
