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MemGPT, developed by researchers at UC Berkeley, is a Python framework designed to create LLM agents equipped with persistent memory capabilities and customisable tools.
Drawing inspiration from operating system design, MemGPT uses a memory management system to remember information generated over time, allowing it to deal with contexts that extend beyond the LLM’s usual limits.
The research paper, published on arXiv, shows that MemGPT can outperform LLMs on a number of tasks requiring long-term context recollection.