A Rails agent framework for RubyLLM — define AI agents with prompts, schemas, caching, logging, cost tracking, and a built-in dashboard for monitoring LLM usage in production.

Pocket-sized Ruby AI agent framework / LLM assistant with multi-LLM support

Ragnar is a pure Ruby command-line RAG (Retrieval-Augmented Generation) tool with zero external dependencies. It provides local document indexing, semantic search, and LLM-powered query processing. Built to be hackable, it lets Ruby developers experiment with agentic workflows and RAG pipelines natively in Ruby.

Sentry Gen AI instrumentation for AI/LLM agents in Ruby applications

A simple LLM agent in Ruby

RAMP, a novel framework that leverages a team of collaborative, LLM-driven agents to iteratively detect, reason about, and repair buggy Ruby code.

LLM integration for LegionIO - chat, embeddings, tool use, and agents via ruby_llm

LLM Agent for playing Pokemon Ruby autonomously

A Ruby Coding Agent (LLM+Tools) for TDD Style Development.

Ruby implementation of PocketFlow, the minimalist framework for building LLM applications (Agents, RAG, Workflow)

Multi-provider LLM agent harness with Ruby 4+, async runtime, and full observability

Shared Ruby gem for Telos AI agents — config loading, multi-provider LLM client, GitHub issue management with fingerprint deduplication, AI agent dispatch, and PR verification.

A minimal, zero-dependency Ruby CLI that turns any LLM into an autonomous coding agent with file editing, shell commands, and codebase exploration

Yorishiro(依代): A CLI-based LLM agent written in Ruby. Supports multiple LLM providers (Anthropic / OpenAI / Ollama), built-in tools for file operations and command execution, MCP server integration, and plan mode.

A next-generation, local-first Model Context Protocol (MCP) server for Ruby repositories. It uses Graph Neural Networks (GNNs) to provide LLMs and coding agents with a deep, structural understanding of code, far beyond simple text analysis.