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AI Ruby
A list of awesome AI projects built in Ruby! 🤖❤️
OpenAI API + Ruby! 🤖❤️ GPT-5 & Realtime WebRTC compatible!
Unofficial ruby binding for tiktoken by way of rust
Build LLM-powered applications in Ruby
Ruby Implementation of Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Anthropic Claude, Cohere Command, Google Gemini, …
A Ruby gem for interacting with Ollama's API that allows you to run open source AI LLMs (Large Language Models) locally.
An implementation of the ReAct approach to give LLMs access to external tools
A lightweight, fully spec-compliant parser for the event stream format.
A Gem to convert methods to openai JSON schemas for use with tools
One beautiful Ruby API for OpenAI, Anthropic, Gemini, Bedrock, Azure, OpenRouter, DeepSeek, Ollama, VertexAI, Perplexity, Mistral, xAI, GPUStack & OpenAI compatible APIs. Agents, Chat, Vision, Audi…
OmniAI standardizes the APIs for multiple AI providers like OpenAI's Chat GPT, Mistral's LeChat, Claude's Anthropic, Google's Gemini and DeepSeek's Chat..
An implementation of the OmniAI interface for Anthropic.
A Ruby gem implementation of a Model Context Protocol (MCP) server for Rails projects. This server allows LLMs (Large Language Models) to interact with Rails projects through the Model Context Prot…
A RuboCop plugin for analyzing and improving AI prompt quality in Ruby code.
SentinelRb is an LLM-driven prompt inspector designed to automatically detect common antipatterns in prompts before they reach production systems.
The Ruby framework for programming—rather than prompting—language models.
Ruby gems for general-purpose AI agent systems: automation, research, data processing, customer support, content creation. SwarmSDK provides single-process orchestration, persistent memory with sem…
Ruby gem for running state-of-the-art language models locally. Access LLMs, embeddings, rerankers, and NER models directly from Ruby using Rust-powered Candle with Metal/CUDA acceleration.
Transform and optimize your markdown documentation for Large Language Models (LLMs) and RAG systems. Generate llms.txt automatically.
Transferable Rails patterns and development philosophy extracted from 37signals' Fizzy codebase