Unified WASM bindings for 18+ attention mechanisms including neural, DAG, and Mamba SSM, optimized for vector search and processing.
Unified attention mechanisms in WASM.
Free and open-source.
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RuVector
Self-optimizing on-device vector database with HNSW, graph RAG, and WASM deployment for low-latency edge AI ops across browsers/IoT/mobile. Supports real-time self-learning retrieval; lighter and offline vs cloud Qdrant.
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-wasm
WASM bindings for browser-side graph transformers with proof verification.
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.
