How AI Agents Never Forget: LangChain Memory + Tools with LLMs #ai #aifordevelopers #langchain

Have you ever wondered how AI agents can remember your past conversations, retrieve facts, and keep track of context—just like a human assistant? 🤔

Checkout the code - https://github.com/ai4developers/codewithai.git

Don't forget to setup this
pip install duckduckgo-search
pip install --upgrade langchain langchain-core langchain-community langchain-google-genai

In this video, we’ll unpack how LangChain enables memory and tools for Large Language Models (LLMs) to create powerful, context-aware AI workflows:

✅ What is LangChain Memory?
Discover how memory modules store and retrieve past interactions so your AI doesn’t forget what you said.

✅ How Tools Supercharge AI Agents
Learn how LangChain integrates search engines, APIs, and other tools to expand an agent’s capabilities far beyond its training data.

✅ Live Demo & Code Walkthrough
We’ll build an AI agent step by step, showing how to combine memory + tools in a real-world example.

✅ Best Practices & Pitfalls
Get tips for designing reliable, scalable AI agents that feel smart and helpful.

👉 Whether you’re an AI developer, a data scientist, or just fascinated by how intelligent systems work, this video will give you the practical knowledge to start building agentic workflows yourself.

🔥 Don’t forget to subscribe for more deep dives into LLMs, agent design, and cutting-edge AI tools!

#LangChain #AIagents #LLMs #ai #langchain #aifordevelopers #education
#ai2025

Видео How AI Agents Never Forget: LangChain Memory + Tools with LLMs #ai #aifordevelopers #langchain канала AI for Developers