Binaries for Sentry Node Profiling
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
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
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
Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser
Adds support for Cloud Profiler to Node.js applications
Graph Neural Network capabilities for Ruvector - Node.js bindings
RVF self-learning temporal solver — Thompson Sampling, PolicyKernel, ReasoningBank
pprof support for Node.js
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
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
A fast and simple library to passively profile JS/Hermes performance in production and release builds.
node bindings for the v8 profiler
WASM bindings for RuvLLM - browser-compatible LLM inference runtime with WebGPU acceleration
Profile manager for Secretlint.
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
Heap dump, sample profiler and allocation timeline generator for Node.
Memory, power, and latency profiling hooks with CSV emitters for benchmarking attention mechanisms
Coherence measurement proxies for comparing attention mechanisms
Min-cut gating attention operator: dynamic graph-based alternative to softmax attention
Sublinear-time solver for RuVector: O(log n) to O(√n) algorithms for sparse linear systems, PageRank, and spectral methods