Awesome Ruby AI - Extended 🤖💎

A curated list of awesome Ruby AI / ML projects, libraries, frameworks, tools, and learning resources.

This list is consolidated from below resources and more:

• RoboRuby – Ruby AI News mentions https://rubyai.beehiiv.com/archive
• alexrudall/awesome-ruby-ai - https://github.com/alexrudall/awesome-ruby-ai
• Additional Ruby AI / ML ecosystem projects

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Contents

• API Libraries & LLM Clients
• Agent Frameworks & AI DSLs
• RAG, Embeddings & Vector Search
• Machine Learning Libraries
• Rails & Application Integrations
• Bot Platforms
• MCP & Infrastructure
• Developer Tools, Evaluation & Observability
• Learning Resources (Books, Video, Audio)
• Community & News
• Miscellaneous

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API Libraries & LLM Clients

• ruby_llm – Unified Ruby API for GPT, Claude, Gemini, and more. https://github.com/crmne/ruby_llm

• ruby-openai – OpenAI API client for Ruby. https://github.com/alexrudall/ruby-openai

• anthropic – Anthropic (Claude) API client for Ruby. https://github.com/alexrudall/anthropic

• cohere-ruby – Cohere API client. https://github.com/andreibondarev/cohere-ruby

• mistral – Mistral API client for Ruby. https://github.com/wilsonsilva/mistral

• groq – Groq API client for Ruby. https://github.com/drnic/groq-ruby

• open_router – OpenRouter API client. https://github.com/OlympiaAI/open_router

• omniai – Standardized API across OpenAI, Anthropic, Gemini, Mistral, DeepSeek. https://github.com/ksylvest/omniai

• durable_llm – Provider-agnostic LLM client with fallback strategies. https://github.com/alexrudall/durable_llm

• llm_client – Generic LLM server API client. https://github.com/mariochavez/llm_client

• midjourney – Midjourney API (via SlashImagine) for Ruby. https://github.com/alexrudall/midjourney

• ollama-ruby – Ruby client for Ollama local models. https://github.com/ollama/ollama-ruby

• rllama – Run llama.cpp locally from Ruby. https://github.com/ankane/rllama

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Agent Frameworks & AI DSLs

• RubyLLM Agents – Multi-agent orchestration built on RubyLLM. https://github.com/ruby-ai/agents

• activeagent – Create agents that take instructions and perform actions. https://github.com/activeagents/activeagent

• agentic – Declarative plan-and-execute agent framework. https://github.com/joaomdmoura/agentic

• LangChain.rb – LangChain-inspired AI framework for Ruby. https://github.com/andreibondarev/langchainrb

• raix – Ruby AI extensions. https://github.com/OlympiaAI/raix

• sublayer – Model-agnostic Ruby generative AI DSL. https://github.com/sublayerapp/sublayer

• Boxcars – Composable LLM application framework. https://github.com/BoxcarsAI/boxcars

• Aoororachain – Opinionated AI application framework for Ruby. https://github.com/mariochavez/aoororachain

• ruby-openai-swarm – Lightweight multi-agent orchestration. http://github.com/graysonchen/ruby-openai-swarm

• roast – Structured AI workflows from Shopify. https://github.com/Shopify/roast

• Raif – Rails engine for AI-powered features and agents. https://github.com/CultivateLabs/raif

• RubyLLM::Agents - 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. https://github.com/adham90/ruby_llm-agents

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RAG, Embeddings & Vector Search

• rag_embeddings – Simple embeddings and vector utilities. https://github.com/ankane/rag_embeddings

• ragdoll – Opinionated Ruby RAG framework. https://github.com/ankane/ragdoll

• neighbor – Vector similarity search for ActiveRecord. https://github.com/ankane/neighbor

• pgvector – PostgreSQL vector extension (Ruby-friendly). https://github.com/pgvector/pgvector

Vector Database Clients

• chroma – Chroma DB API wrapper. https://github.com/mariochavez/chroma

• milvus – Milvus vector database client. https://github.com/andreibondarev/milvus

• pinecone – Pinecone vector database client. https://github.com/scotterc/pinecone

• qdrant-ruby – Qdrant API client. https://github.com/andreibondarev/qdrant-ruby

• weaviate-ruby – Weaviate API client. https://github.com/andreibondarev/weaviate-ruby

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Machine Learning Libraries

• Rumale – Scikit-Learn–style ML library for Ruby. https://github.com/yoshoku/rumale

• torch.rb – PyTorch-style tensors and autograd. https://github.com/ankane/torch.rb

• TensorFlow.rb – Ruby bindings for TensorFlow. https://github.com/somaticio/tensorflow.rb

• numo-narray – Numerical computing arrays. https://github.com/ruby-numo/numo-narray

• clusterkit – Clustering and dimensionality reduction. https://github.com/ankane/clusterkit

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Rails & Application Integrations

• rails_ai – Rails generators and helpers for AI features. https://github.com/ruby-ai/rails_ai

• llama_bot_rails – Rails engine for agentic workflows. https://github.com/manuelmeurer/llama_bot_rails

• Blazer AI – Natural language to SQL for Blazer. https://github.com/ankane/blazer-ai

• instant18n – GPT-powered localization. https://github.com/obie/instant18n

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Bot Platforms

• HostedGPT – Self-hosted ChatGPT alternative (Rails). https://github.com/AllYourBot/hostedgpt

• LLM Server – Host local LLMs via Rack API. https://github.com/mariochavez/llm_server

• MagmaChat – Self-hosted ChatGPT platform (Rails). https://github.com/magma-labs/magma-chat

• Monadic Chat – Highly configurable chatbot framework. https://github.com/yohasebe/monadic-chat

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MCP & Infrastructure

• fast-mcp – Ruby implementation of Model Context Protocol. https://github.com/yjacquin/fast-mcp

• mcp (official SDK) – Official Ruby SDK for MCP. https://github.com/modelcontextprotocol/ruby-sdk

• rails-mcp-server – MCP server for Rails apps. https://github.com/maquina-app/rails-mcp-server

• tidewave_rails – MCP-powered Rails integration. https://github.com/tidewave-ai/tidewave_rails

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Developer Tools, Evaluation & Observability

• LLMTape – Record/replay LLM calls in tests. https://github.com/ankane/llm_tape

• Leva – LLM evaluation framework. https://github.com/kieranklaassen/leva

• Internator – AI-powered code iteration CLI. https://github.com/aaronmallen/internator

• Botrytis – AI-powered fuzzy matching for Cucumber. https://github.com/westonganger/botrytis

• RubyLLM::Monitoring – Monitor LLM usage in Rails apps. https://github.com/sinaptia/ruby_llm-monitoring

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Learning Resources (Books, Video, Audio)

Books

• Patterns of Application Development using AI ($) https://leanpub.com/patterns-of-application-development-using-ai

• RailsAI – Free book: Ship Rails AI MVPs fast. https://railsai.com

Video

• AI on Rails (YouTube channel) https://www.youtube.com/@AIonRails-v9s

• thoughtbot – AI in Focus (playlist) https://www.youtube.com/playlist?list=PL8tzorAO7s0jaDFZYPAtR_AIHgD5J3a7d

Audio

• The Magic of RubyLLM with Carmine Paolino (Ruby Rogues) https://topenddevs.com/podcasts/ruby-rogues/episodes/the-magic-of-rubyllm-with-carmine-paolino-ruby-676

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Community & News

• RoboRubyAI – Ruby AI newsletter. https://rubyai.beehiiv.com

• Artificial Ruby – NYC Ruby AI community. https://www.artificialruby.ai/

• Ruby AI (X Community) https://x.com/i/communities/1709211359039078677

• Ruby AI Builders – Discord community. https://discord.com/servers/ruby-ai-builders-1081742403460923484

• The Ruby AI Podcast https://www.therubyaipodcast.com

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Miscellaneous

• GemChat.org - AI Chat with Ruby Gem https://gemchat.org

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Contributing

PRs welcome! Please include:

• Short description
• Canonical link
• Appropriate category

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License

MIT