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HyperDB is a hyper-fast local vector database designed for use with LLM agents. It uses a highly optimized C++ backend vector store with hardware-accelerated operations via MKL BLAS and supports indexing documents with IDs and metadata. The project is available as a Python package (hyperdb-python) with optional local embedding support using Hugging Face models via sentence-transformers.
AI named HyperDB in January 2026.