roychowdhuryresearch/gsw-memory
Long term Structured Memory for Large Language Models
This tool helps researchers and analysts answer complex questions by processing large collections of text documents, like research papers or historical archives. It takes your documents and automatically builds a structured 'memory' of entities and their relationships. The output is accurate answers to detailed questions, even those requiring information from multiple sources. It is designed for anyone needing to extract precise information from extensive text data.
Use this if you need to build a comprehensive knowledge base from many text documents and answer multi-faceted questions that require deep understanding and synthesis across them.
Not ideal if you only need simple keyword search or fact retrieval from isolated documents, or if your primary goal is generating creative text rather than extracting specific information.
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Language
Python
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Last pushed
Mar 12, 2026
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