RuvLLM native SIMD acceleration - win32-x64-msvc (Windows) platform
Fast DAG (Directed Acyclic Graph) library with Rust/WASM. Topological sort, critical path, task scheduling, dependency resolution, workflow optimization. Self-learning ML attention. Browser & Node.js with auto-persistence.
Proof-gated graph transformer - darwin-arm64 platform binary
rvDNA — AI-native genomic analysis. 20-SNP biomarker risk scoring, streaming anomaly detection, 64-dim profile vectors, 23andMe genotyping, CYP2D6/CYP2C19 pharmacogenomics, variant calling, protein prediction, and HNSW vector search.
CLI for LLM inference, benchmarking, and model management - run local LLMs with Metal/CUDA acceleration
DiskANN native bindings - darwin-arm64
Neo4j-compatible hypergraph database in WebAssembly - Cypher queries, SIMD optimization, knowledge graphs
Self-Optimizing Neural Architecture - Runtime-adaptive learning for LLM routers with two-tier LoRA, EWC++, and ReasoningBank
No description provided.
DiskANN native bindings - linux-x64-gnu
Proof-gated graph transformer - win32-x64-msvc platform binary
Run quantum simulations in the browser - WebAssembly bindings for quantum circuits with 25-qubit support, VQE, Grover, QAOA
DiskANN native bindings - win32-x64-msvc
RuvLLM native SIMD acceleration - darwin-x64 (Intel Mac) platform
ACORN predicate-agnostic filtered HNSW in WebAssembly — high-recall vector search with arbitrary metadata filters, for browsers, Cloudflare Workers, Deno, and Bun
Semantic router for AI agents - darwin-x64 platform
Semantic router for AI agents - linux-arm64-gnu platform
Setup validator, auto-fixer, and learning persistence for claude-flow + ruvector integration on Linux/Ubuntu
RuvLLM native SIMD acceleration - linux-arm64-gnu platform
No description provided.
WebAssembly bindings for Tiny Dancer - FastGRNN neural inference for AI routing in browsers
AgentDB v3 - Intelligent agentic vector database with RVF native format, RuVector-powered graph DB, Cypher queries, ACID persistence. 150x faster than SQLite with self-learning GNN, 6 cognitive memory patterns, semantic routing, COW branching, and compreh
Unified WebAssembly bindings for 18+ attention mechanisms: Neural, DAG, Graph, and Mamba SSM
No description provided.