RuVector Format Node.js native bindings
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.
Semantic router for AI agents - vector-based intent matching with HNSW indexing and SIMD acceleration
RuVector Format Node.js native bindings
> Rewrite a WASM binary
WebAssembly binary format parser
No description provided.
Neural router for AI agent orchestration - FastGRNN-based intelligent routing with circuit breaker, uncertainty estimation, and hot-reload
The WASM package for prisma-fmt
Node binding for rspack
Self-learning vector memory for AI agents — single-file .rvf cognitive container with HNSW search, episodic Reflexion memory, causal graph + Cypher, 9 RL algorithms, Thompson Sampling bandit, 41 MCP tools, hybrid (BM25 + dense) retrieval, GNN attention. 1
A WebAssembly implementation of xxHash
No description provided.
Generates and consumes source maps
PGlite is a WASM Postgres build packaged into a TypeScript client library that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It is only 3.7mb gzipped.
The Wasm package for prisma-fmt
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
Parse EditorConfig-INI file contents into AST
ZXing-C++ WebAssembly as an ES/CJS module with types
Lightning fast hash functions for browsers and Node.js using hand-tuned WebAssembly binaries (MD4, MD5, SHA-1, SHA-2, SHA-3, Keccak, BLAKE2, BLAKE3, PBKDF2, Argon2, bcrypt, scrypt, Adler-32, CRC32, CRC32C, RIPEMD-160, HMAC, xxHash, SM3, Whirlpool)
A reliable compressor and decompressor for Brotli, supporting node & browsers via wasm
High-performance WebAssembly attention mechanisms: Multi-Head, Flash, Hyperbolic, MoE, CGT Sheaf Attention with GPU acceleration for transformers and LLMs
RuVector WASM package bridges for Claude Flow plugins
WebAssembly bindings for ruvector-gnn - Graph Neural Network layers for browsers