RainbowLLM provides intelligent routing and failover capabilities for multiple LLM providers. Automatically tries providers in sequence until one responds successfully, ensuring reliable access to LLM services.

RobotLab is a Ruby framework for building and orchestrating multi-robot LLM workflows. Built on ruby_llm, it provides robots with template-based prompts, tools, and shared memory; networks for coordinating multiple robots with intelligent routing; MCP (Model Context Protocol) integration for external tool servers; a memory system with Redis backend and semantic caching; and Rails integration with generators and ActiveRecord- backed conversation history.

RubyLLM Code will provide an AI-powered coding assistant. This is a placeholder release - full implementation coming soon!

A comprehensive Ruby gem that provides Docker management capabilities through RubyLLM tools. Enables AI assistants to interact with Docker containers, images, networks, and volumes using natural language. Ported from DockerMCP to work directly with RubyLLM without requiring an external MCP server.

LLM evaluation engine for Rails.

A Rails engine providing comprehensive observability for LLM-powered applications. Features include session tracking, trace analysis, prompt management, cost monitoring, and optional chat/agent testing UI (with RubyLLM integration).

A RubyLLM plugin that enables local LLM execution using the Red Candle gem. Run quantized GGUF models directly in Ruby without external API calls. Supports streaming, structured output, and multiple model architectures including Gemma, Llama, Qwen, Mistral, and Phi.

A RubyLLM provider that implements OpenAI's Responses API, providing access to built-in tools (web search, code interpreter, file search, shell, apply patch), stateful conversations, server-side compaction, containers API, background mode, and MCP support.

Cache RubyLLM responses based on semantic similarity, not exact string matching. Reduces costs and latency by returning cached responses for semantically equivalent queries.

Route messages to specialized RubyLLM chat agents based on semantic similarity using embeddings and kNN lookup

Provides an adapter to integrate RubyLLM with Sequel ORM.

LLM powered business intelligence. Build SQL reports using natural language.

A Ruby client for the Model Context Protocol (MCP) that seamlessly integrates with RubyLLM. Connect to MCP servers via SSE or stdio transports, automatically convert MCP tools into RubyLLM-compatible tools, and enable AI models to interact with external data sources and services. Makes using MCP with RubyLLM as easy as possible.

A mixin that gives any Ruby class the ability to generate and install methods at runtime via an LLM. Describe what you want in plain English and get a working method back.

SharedTools provides a collection of reusable common tools for Ruby applications using ruby_llm gem.

Simplistic playpen (e.g. not for serious use) for doing technical analysis of stock prices. Under Construction.

Comprehensive CLI tool for managing Strata Semantic Analytics projects. Create and initialize projects, manage datasource connections, build semantic table models with AI assistance, run audits and validations, and deploy projects to Strata servers. Supports multiple data warehouse adapters including PostgreSQL, MySQL, SQL Server, Snowflake, Athena, Trino, and more.

Sylvia is a command-line tool that helps you create and manage Ruby projects with ease.