The .txt File as the Soul of a Personal AI — FileRAG Memory Architecture
A new memory architecture called FileRAG proposes using plain text files as the core of an AI's memory, moving away from traditional conversational history logs. This approach distills conversations into human-readable .txt files, which are then used with a hybrid BM25 and semantic RAG retrieval system to provide context for AI responses. FileRAG aims to improve accuracy and reduce storage bloat as conversations lengthen, offering a more portable and private memory solution. AI
IMPACT Offers a more scalable and private memory solution for AI, potentially reducing infrastructure costs.