Proof-gated graph transformer - darwin-x64 platform binary
AI-powered synthetic graph data generation with OpenRouter/Kimi K2 integration for Neo4j knowledge graphs, social networks, and temporal events
DiskANN native bindings - darwin-x64
WASM bindings for subpolynomial-time dynamic minimum cut (Stoer-Wagner algorithm)
WASM bindings for Neural Trader — market events, coherence gates, replay memory
Proof-gated graph transformer - linux-arm64-gnu platform binary
Proof-gated graph transformer - linux-arm64-musl platform binary
DiskANN native bindings - linux-arm64-gnu
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
Proof-gated graph transformer with 8 verified modules — physics, biological, manifold, temporal, economic graph intelligence via NAPI-RS
No description provided.
RVF self-learning temporal solver — Thompson Sampling, PolicyKernel, ReasoningBank
Claude Flow Novice - Advanced orchestration platform for multi-agent AI workflows with CFN Loop architecture Includes CodeSearch (hybrid SQLite + pgvector), mem0/memgraph specialists, and all CFN skills.
Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser
Ultra-fast MicroLoRA adaptation for WASM - rank-2 LoRA with <100us latency for per-operator learning
High-performance Rust vector database for Node.js - linux-x64-gnu platform
Self-Optimizing Neural Architecture (SONA) - Runtime-adaptive learning with LoRA, EWC++, and ReasoningBank for LLM routers and AI systems. Sub-millisecond learning overhead, WASM and Node.js support.
RaBitQ 1-bit quantized vector index in WebAssembly — 32× embedding compression with high-recall rerank, for browsers, Cloudflare Workers, Deno, and Bun
High-performance WebAssembly attention mechanisms: Multi-Head, Flash, Hyperbolic, MoE, CGT Sheaf Attention with GPU acceleration for transformers and LLMs
Exotic AI mechanisms for emergent behavior - Neural Autonomous Orgs, Morphogenetic Networks, Time Crystals
Neural router for AI agent orchestration - FastGRNN-based intelligent routing with circuit breaker, uncertainty estimation, and hot-reload
Semantic router for AI agents - vector-based intent matching with HNSW indexing and SIMD acceleration
CRDT-based autonomous credit economy for distributed compute networks - WASM optimized