Daily learning schedules: Daf Yomi, Mishna Yomi, etc

The library exposes two independently consumable components:

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

Server runtime for Remix

Ultra-fast MicroLoRA adaptation for WASM - rank-2 LoRA with <100us latency for per-operator learning

Fastest 5KB JS implementation of secp256k1 ECDH & ECDSA signatures compliant with RFC6979

A friendly machine learning library for the web.

API for learning app

JavaScript SDK and CLI for building JavaScript applications on [Fastly Compute](https://www.fastly.com/products/edge-compute/serverless).

Vertex AI client for Node.js

Sigmoid (hyperbolic tangent) kernel

Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms

Machine learning algorithms.

Matrix — Agentic OS for OpenCode. Personalizable, communicating, self-improving, resilient.

[Hypertune](https://www.hypertune.com/) is the most flexible platform for feature flags, A/B testing, analytics, and app configuration. Built with full end-to-end type safety, Git-style version control and local, synchronous, in-memory flag evaluation. Op

The memory plugin stores durable, actor-scoped facts, recalls relevant facts into prompts, and learns candidates from completed sessions. SQL schemas, exported types, tools, and tests are authoritative.

This module lets you run python code inside node without spawning new processes

Node module that contains common functionality needed to appcenter-* modules

A Education First learning activity

AI Manipulation Defense System (AIMDS) with self-learning, prompt injection detection, and vector search integration