ruvector-wasm

Unified WASM bindings for 18+ attention mechanisms including neural, DAG, and Mamba SSM, optimized for vector search and processing.

CRDT-based autonomous credit economy in WASM for decentralized vector resource allocation and AI agent economics.

WASM crate with exotic AI primitives like strange loops and time crystals for advanced vector computations in novel AI architectures.

Rust crate for Graph Neural Network layers and training integrated with vector search. Powers GNN-enhanced HNSW reranking and semantic routing in RuVector. Supports browser and edge deployment via WASM.

WASM bindings for browser-side graph transformers with proof verification.

WASM library for MicroLoRA adaptation with sub-100µs latency, enabling fast fine-tuning for vector embeddings and AI models in browser environments.