Engineer Builds Vector Symbolic Memory Platform
Kendall is developing a purpose-built memory platform for autonomous AI agents using Vector Symbolic Architecture with 16,384-dimensional vectors to bind facts, sequences, and trees into fixed-size representations. The bifurcated design pairs a Zig data plane—2GB memory-mapped NVMe tiles, lock-free 8-bit accumulators, io_uring, and AVX-512 popcount Hamming-distance queries—with a Gleam control plane and a C-ABI/BEAM bridge; the project seeks low-level systems engineers.
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