see http://cpee.org

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

Simple, lightweight and fast metrics aggregation for Rails.

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

Management tool to make it easier rollouting features to customers.

Feature flags made simple: turn code on or off with Redis controls, allowing plain enabled/disabled states as well as finer-grained percentage-based control.

Tame your development cycle.

GitLab metrics exporter to use with prometheus

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

Allows hiera functions to pull data from a Redis database.

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.

Lark(飞书) API SDKs for ruby https://open.feishu.cn

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.

A simple interface for locking hardware resources available via ruby and backed by redis.

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

Yet another Ruby distributed lock using Redis, with emphasis in transparency. Requires Redis >= 2.6.12, because it uses the new syntax for SET to easily implement the robust algorithm described in the SET command documentation (http://redis.io/commands/set).

A comprehensive Ruby gem for implementing Model Context Protocol servers to standardize interactions with AI language models

Operational controls for Rails web traffic