A free resource called "Agent_Memory_Techniques," bundling 30 runnable Jupyter notebooks that explain memory techniques for LLM-based AI agents, has been published on GitHub. Created by Nir Diamant, it offers a hands-on, systematic path through conversation buffers, vector stores, knowledge graphs, episodic/semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti and the LoCoMo benchmark (GitHub).
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