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AI · September 11, 2026

NanoVector – A 120KB zero-dependency vector search engine in C and SIMD

The SQLite of Vector Search & Episodic Memory for AI Agents in ~120KB. Pure C99, AVX2+FMA, ARM NEON, FASM x64, zero dependencies. - eminsk/nanovector

NanoVector – A 120KB zero-dependency vector search engine in C and SIMD launched on September 11, 2026 with 10 votes, #993 of 8,093 launches that month and more than 90% of that year's launches.

Visit github.com ↗Alternativestop 12% of September 2026

In plain words

NanoVector is a lightweight vector search engine written in pure C99 that occupies approximately 120KB with no external dependencies. It performs similarity searches and episodic memory operations for AI agents, using SIMD optimizations including AVX2, FMA, ARM NEON, and x64 assembly for performance. The tool is designed for developers who need fast, efficient vector operations in resource-constrained environments or embedded systems where minimal footprint matters.

written from the facts on this page · September 2026

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