A new open-source project called LocalRecall aims to give AI agents a persistent, privacy-preserving memory that runs entirely on local hardware, without relying on cloud services or a GPU. The tool manages knowledge bases and files stored in vector databases, positioning itself as a lightweight retrieval layer for developers building autonomous agents and internal search applications.
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