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You can use this page to email KalyanChakravarthy Kodela about Agentic Memory for LLM Agents: Dynamic Knowledge Networks for AI, Inspired by the Zettelkasten Method.
About the Book
Agentic Memory for LLM Agents explores the critical need for effective memory systems in Large Language Models. This book introduces A-MEM, a groundbreaking memory architecture enabling LLMs to dynamically organize, retrieve, and evolve their memories in an agentic way. Discover how A-MEM, inspired by the Zettelkasten method, overcomes the limitations of traditional memory systems and empowers LLMs to achieve superior performance in long-term interactions, complex reasoning, and knowledge-intensive tasks.
About the Author
Kalyan is a software engineer specializing in integrating advanced mathematics, physics, and computer science with expertise in machine learning, artificial intelligence, and data science.