The easiest way to check how many times a URL has been shared on Reddit, Digg, Twitter, Facebook, LinkedIn, GoogleBuzz and StumbleUpon!

Achievements is an abstract, Redis-backed, counter based achievements engine designed to be included in Model classes in web applications. Achievements lets you track and persist user actions with a simple bind and trigger design pattern.

Extremaly fast, flexible and intuitive access control mechanism, powered by fast key value stores like Redis.

Relationships (e.g. friendships) backed by Redis

An APN server & library in which EventMachine daemons maintain a persistent connection to Apple servers and Redis acts as the glue with your Apps. See Readme for more info :)

Celluloid::IO support for the redis-rb library

A modern modular service object toolkit for Rails, that respects database transactions and adds type checks to returned values.

see http://cpee.org

Desiru brings DSPy's declarative programming paradigm for language models to Ruby, enabling reliable, maintainable, and portable AI programming.

Flexible configuration for Ruby/Rails applications with a variety of backends

Simple, lightweight and fast metrics aggregation for Rails.

A fair way to queue work in multi-user systems.

Redis(zset/set/list/string/publish) output plugin for Fluentd...

A practical approach to configuration management with type safety, team isolation, environment inheritance, encryption, and remote sources. Designed for teams dealing with configuration complexity at scale.

Quickly and easily add SSL to a Rails App with Let's Encrypt

istox backend shared gem

Adds pessimistic locking capabilities to the redis gem. Since these capabilities are utilized client-side, all clients must use this gem and follow the order of lock => make changes => unlock in order to obtain maximum safety when modifying sensitive keys. Tested with redis-server 2.0.4 and should work with all versions > 0.091.

Linnaeus provides a redis-backed Bayesian classifier. Words are stemmed, stopwords are stopped, and redis is used to allow for persistent and concurrent training and classification.

LLM Memory is a Ruby gem designed to provide large language models (LLMs) like ChatGPT with memory using in-context learning. This enables better integration with systems such as Rails and web services while providing a more user-friendly and abstract interface based on brain terms.

An implementation of LSH in Ruby, using JBLAS for JRuby and GSL for MRI