LangChain 2026 Day 8: Adding Long-Term Memory (Episodic & Semantic)

Welcome to Day 8 of my LangChain 2026 Course!

Stateless chatbots are boring. Today, we solve the biggest limitation in AI: Memory. We are building a dual-memory system for our agent. We use LangGraph Checkpointers (SQLite) for conversation history and a custom Semantic Memory system to store user facts forever.

In this episode you’ll learn:

- The difference between Episodic and Semantic memory
- Implementing SqliteSaver for graph persistence
- Building a SemanticMemory class with JSON storage
- How to make AI remember user preferences across sessions
- The code for agent.py and semantic.py

📌 GitHub Code: https://github.com/sebuzdugan/langchain-2026
📚 Full Playlist: https://www.youtube.com/playlist?list=PLH2Jo7IpHaBR3uuBh8HUqjAPbwL575XNB

Видео LangChain 2026 Day 8: Adding Long-Term Memory (Episodic & Semantic) канала Sebastian Buzdugan