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AgenticMemory: Zettelkasten inspired agentic memory system
A novel agentic memory system. Contribute to WujiangXu/AgenticMemory development by creating an account on GitHub.
Large Language Model (LLM) agents have demonstrated remarkable capabilities in handling complex real-world tasks through external tool usage. Generates comprehensive notes with structured attributes Creates contextual descriptions and tags Analyzes historical memories for relevant connections Establishes meaningful links based on similarities Enables dynamic memory evolution and updates Empirical experiments conducted on six foundation models demonstrate superior performance compared to existing SOTA baselines.
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