CRM | Lead Gathering Machine

This is a light weight, easy to use AB testing framework gem for backend algorithm test

A library for storing data about an object in spreadsheet-like format (array of hashes).

track likes between rails models using Redis backend

Provide Devise-style authentication helpers for StimulusReflex

Implementation of LINK/UNLINK using Rack middleware

LionAttr uses Redis to store Mongoid object in-mem giving it fast accessibility. It also gives convenience to manipulate numeric attributes which will be called live attrbutes. With live attributes, you can increase, decrease database for high performance.

simple operational dashboard

Liszt is an alternative to acts_as_list and sortable that uses atomic Redis operations to maintain scoped ordering information for ActiveRecord objects.

Lita chatbot reponds to user requests of 'weather LOCATION' with a GIF of the weather in specified location. Response is limited to Australian locations with a radar listed on the Bureau of Meteorology

Access Redis with an ActiveRecord like ORM interface

Auto-syncs records in client-side JS (through a Model DSL) from changes (updates/destroy) in the backend Rails server through ActionCable. Also supports streaming newly created records to client-side JS. Supports lost connection restreaming for both new records (create), and record-changes (updates/destroy). Auto-updates DOM elements mapped to a record attribute, from changes (updates/destroy).

Remote-callable attributes and methods for IPC and cluster use.

LLM Chain is a powerful Ruby framework that provides tools for building sophisticated LLM-powered applications. It includes support for prompt management, conversation chains, memory systems, vector storage integration, and seamless LLM provider connections. Key features: • Chain-based conversation flows • Memory management with Redis • Vector storage with Weaviate • Multiple LLM provider support • Prompt templating and management • Easy integration with existing Ruby applications

llm_optimizer reduces LLM API costs by up to 80% through semantic caching, intelligent model routing, token pruning, and conversation history summarization. Strictly opt-in and non-invasive.

Easy localise your Rails app from localise.biz

minimalist locking using redis

Lock and cache methods, in case things should only be calculated once across processes.

Statsistics collecting shared mutex on Redis

Rails is awesome, but modern web needs Loco-motive.