Nexus TypeScript SDK
Temporal.io SDK Nexus sub-package
Apache Arrow columnar in-memory format
DiskANN/Vamana — SSD-friendly billion-scale approximate nearest neighbor search with product quantization
Scalable, strongly typed GraphQL schema development
Memory module - AgentDB unification, HNSW indexing, vector search, hybrid SQLite+AgentDB backend (ADR-009)
Audit dependencies to identify known vulnerabilities and maintenance problems
Distance and similarity functions to compare vectors
Intelligent orchestration platform for AI coding tools — routes tasks to the best model, learns from outcomes, and enforces quality through multi-model consensus
MemberJunction: AI Vectors In-Memory Utilities
DuckDB vector store provider for Mastra - embedded high-performance vector storage with HNSW indexing
RaBitQ 1-bit quantized vector index in WebAssembly — 32× embedding compression with high-recall rerank, for browsers, Cloudflare Workers, Deno, and Bun
<p align="center"> <img src="https://i.imgur.com/8qvElTM.png" width="300" align="center" /> <h1 align="center"><a style="color:black;" href="https://graphql-nexus.github.io/nexus-prisma">nexus-prisma</a></h1> </p>
NIST standard Format-preserving encryption FF3-1 implementation
Array-based 3D Math Classes optimized for WebGL applications
Apache Arrow columnar in-memory format
A very basic crypto library
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
Memory adapter for Better Auth
Domain-agnostic knowledge graph memory for AI agents. Zero-config, local-first, SQLite-powered. Works as OpenClaw skill (CLI) or plugin (auto-hook).
Clementine — Personal AI Assistant (TypeScript)
A collection of file type SVG icons, licensed MIT and available for free use in your applications.
MongoDB Server for testing (core package, without autodownload). The server will allow you to connect your favourite ODM or client library to the MongoDB Server and run parallel integration tests isolated from each other.