The `@elizaos/core` package provides a robust foundation for building AI agents with dynamic interaction capabilities. It enables agents to manage entities, memories, and context, and to interact with external systems, going beyond simple message response

TypeScript port of HdrHistogram

Tiny but powerful full-text search engine for browser and Node

A micro-library of stream components for building custom JSON and JSONC processing pipelines with a minimal memory footprint — parse, filter, and transform JSON far larger than available memory with a SAX-inspired token API, on Node.js or Web Streams.

In-memory state adapter for Chat SDK — zero-dependency subscriptions, locks, and cache for local development and tests

Node.js atomic and non-atomic counters, rate limiting tools, protection from DoS and brute-force attacks at scale

Privacy-first CAPTCHA widget, compliant with global regulations (GDPR/HIPAA/CCPA/LGDP/DPDPA/PIPL) and WCAG accessible. No tracking, self-verifying.

A lightweight implementation of the Unicode Text Segmentation (UAX #29)

Fast LRU and TTL cache with upsert and promise option

A performant, customizable React Native signature canvas with advanced error handling, WebView optimization, and TypeScript support for iOS, Android, and Expo

The most efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.

A WebGL memory tracker

convert JSON data to space efficient format

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.

Chain functions, generators, Node streams, and Web streams into a pipeline with backpressure support.

No description provided.

The Memory Layer For Your AI Apps

In-memory abstract-level database for Node.js and browsers

Simple implmentation of Stream.Readable and Stream.Writable holding the data in memory.

Redis Server for testing. The server will allow you to connect your favorite client library to the Redis Server and run parallel integration tests isolated from each other.