Self-Optimizing Neural Architecture (SONA) for Claude Flow — adaptive learning, trajectory tracking, pattern reuse, 7 RL algorithms (PPO/A2C/DQN/Q-Learning/SARSA/Decision Transformer/Curiosity), Flash Attention, MoE routing, LoRA, EWC++ for continual lear
Semantic router for AI agents - vector-based intent matching with HNSW indexing and SIMD acceleration
Neural router for AI agent orchestration - FastGRNN-based intelligent routing with circuit breaker, uncertainty estimation, and hot-reload
Proof-gated graph transformer with 8 verified modules — physics, biological, manifold, temporal, economic graph intelligence via NAPI-RS
Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms
Modern and scalable routing for React applications
High-performance vector database with HNSW indexing - 50k+ inserts/sec, built in Rust for AI/ML similarity search and semantic search applications
Self-learning LLM runtime — TurboQuant KV-cache (6-8x compression), SONA adaptive learning, FlashAttention, speculative decoding, GGUF inference
WASM bindings for RuvLLM - browser-compatible LLM inference runtime with WebGPU acceleration
Portable WASM embedding generation with SIMD and parallel workers - run text embeddings in browsers, Cloudflare Workers, Deno, and Node.js
RuVector Format Node.js native bindings
WASM bindings for ruvector-graph-transformer: proof-gated graph attention in the browser
Graph Neural Network capabilities for Ruvector - Node.js bindings
RVF self-learning temporal solver — Thompson Sampling, PolicyKernel, ReasoningBank
Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser
RuVector Format WASM microkernel for browser and edge vector operations
High-performance WebAssembly attention mechanisms: Multi-Head, Flash, Hyperbolic, MoE, CGT Sheaf Attention with GPU acceleration for transformers and LLMs
Modern and scalable routing for React applications
Native Node.js bindings for RuVector Graph Database with hypergraph support, Cypher queries, and persistence - 10x faster than WASM
RuVector Format — unified TypeScript SDK for vector intelligence
router plugin for vue-cli
RaBitQ 1-bit quantized vector index in WebAssembly — 32× embedding compression with high-recall rerank, for browsers, Cloudflare Workers, Deno, and Bun
DiskANN/Vamana — SSD-friendly billion-scale approximate nearest neighbor search with product quantization
RuVector Format Node.js native bindings