HTM (Hierarchical Temporal Memory) provides intelligent memory/context management for LLM-based applications. It implements a two-tier memory system with durable long-term storage (PostgreSQL) and token-limited working memory, enabling applications to recall context from past conversations using RAG (Retrieval-Augmented Generation) techniques.

A multi-language code generator to cope with Hyrum's law

Agents that write and execute Ruby code. Developers can build and distribute Agents as files or compiled jar files. Inspired by smolagents. LLMs write executable code, not JSON blobs.

An open-source, security-first AI agent framework in Ruby with capability-based permissions, sandboxed skills, and a layered prompt system.

Used in conjunction with the Language Operator for Kubernetes

Provides LLM capabilities (chat, embeddings, tool use, agents) to LegionIO extensions

A Ruby gem for translating Markdown files using AI while preserving formatting

Mildred power organizer

A minimalist AI agent framework with multi-channel support, tool calling, and extensible architecture

Probatio Diabolica runs custom *_spec.rb files with a DSL inspired by RSpec and supports text/image/PDF reporting.

Under development. Contributors welcome.

Unified tool definition pipeline for Rails 8 applications using FastMCP and RubyLLM.

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.

Provider-agnostic LLM evaluation with pluggable metrics, statistical A/B comparison, and test framework integration. Ragas for Ruby, powered by RubyLLM.

Interactive rake tasks to generate context files for AI coding assistants (Claude, Cursor, Windsurf, Codex, llm.txt). Uses RubyLLM to analyze your codebase and create platform-specific context that helps AI understand your project.

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

Compare LLM models by accuracy and cost. Regression-test prompts in CI. Start on nano, auto-escalate to bigger models when quality drops. Companion gem for ruby_llm.

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.