NirDiamant/Agent_Memory_Techniques ? reverse-engineered prompt

Build me a Jupyter notebook based learning project about agent memory for LLMs.

I want it to teach the main memory techniques in a clear, hands on way, starting with simple conversation buffer memory and then moving into vector stores, knowledge graphs, episodic and semantic memory, working memory, and a few real world systems like MemGPT, Mem0, Letta, Zep, and Graphiti. Each notebook should be runnable, easy to follow, and include a small example that shows why that memory pattern is useful.

Please make it feel like a practical tutorial set, not just theory. If you need to check current docs for any of the tools or APIs, look them up online. Also include a simple learning path so someone new can know where to start and what to try next.