MemGPT is an agentic framework concentrating on enhancing the memory capacity of large language models, which includes features like adaptive long-term memory and expansive context windows.
MemGPT, founded by UC Berkeley Ph.D. graduates, aims to address the limitation of large language models' context windows by utilizing a framework inspired by traditional operating systems to improve memory management.
The project MemGPT has gained significant popularity among developers with over 11,000 stars on GitHub, and it recently secured a $10 million funding round led by Felicis Ventures.
The technology developed by MemGPT allows AI agents to not only process more information than they typically could but also remember long conversations and analyze large documents.
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