WASM bindings for browser-side graph transformers with proof verification.
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ruvector-attention-unified-wasm
Unified WASM bindings for 18+ attention mechanisms including neural, DAG, and Mamba SSM, optimized for vector search and processing.
ruvector-economy-wasm
CRDT-based autonomous credit economy in WASM for decentralized vector resource allocation and AI agent economics.
ruvector-exotic-wasm
WASM crate with exotic AI primitives like strange loops and time crystals for advanced vector computations in novel AI architectures.
ruvector-gnn
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.
ruvector-graph-transformer
Unified graph transformer with proof-gated mutation substrate for verified graph-vector operations, featuring 8 modules and 186 tests.
ruvector-learning-wasm
WASM library for MicroLoRA adaptation with sub-100µs latency, enabling fast fine-tuning for vector embeddings and AI models in browser environments.
WASM graph transformers.
Free and open-source.
