Open Source Ruby Artificial Intelligence Software for Mac

If you have questions, are confused, or just want to understand our product better, we've got your back. Customer engagement suite, an open-source alternative to Intercom, Zendesk, Salesforce Service Cloud etc. Chatwoot is an open-source, self-hosted customer engagement suite. Chatwoot lets you view and manage your customer data, communicate with them irrespective of which medium they use, and re-engage them based on their profile. Talk to your customers using our live chat widget and make use of our SDK to identify a user and provide contextual support. Connect your Facebook pages and start replying to the direct messages to your page. Connect your Instagram profile and start replying to the direct messages. Connect your Twitter profiles and reply to direct messages or the tweets where you are mentioned. Connect your Telegram bot and reply to your customers right from a single dashboard.

RubyLLM is an open-source Ruby library that provides a unified API for interacting with multiple large language model providers through a single, consistent interface. The library is designed to simplify the process of integrating AI capabilities into Ruby applications by abstracting away differences between model providers and API formats. Developers can use RubyLLM to communicate with a wide range of AI services including OpenAI, Anthropic, Google Gemini, Mistral, Ollama, and other compatible platforms through a single programming interface. The library supports advanced capabilities such as tool calling, structured responses, and schema-based outputs that enable developers to build more reliable AI-driven applications. RubyLLM also integrates smoothly with modern Ruby frameworks and development workflows, making it easier to embed AI functionality into web services, background jobs, and automation scripts.

mcp-ui is a software development kit designed to bring interactive user interface capabilities to applications built on the Model Context Protocol (MCP). It enables developers to create rich, dynamic UI components that can be delivered from an MCP server and rendered seamlessly by a compatible client. Instead of returning only text responses, tools can provide structured UI resources such as HTML or remote-rendered components, allowing more engaging and functional interactions. mcp-ui introduces a standardized approach where tools and their associated interfaces are linked through metadata, enabling clients to automatically discover and display the correct UI. It includes both client-side and server-side SDKs, making it possible to define UI elements on the backend and handle user interactions on the frontend. It supports multiple programming environments, including TypeScript, Python, and Ruby, broadening its accessibility for developers.

Huginn is an open-source system for building agents that perform automated tasks by monitoring websites, APIs, emails, and more. Inspired by IFTTT, Huginn lets users create complex workflows and conditional logic to react to events and manage data. It’s self-hosted, highly customizable, and suitable for developers who want full control over automation without relying on third-party platforms.

Powerful command line and configuration file parsing for C++, Python, Ruby and Java (others to come). This tool provides many features, such as separate treatment for options, variables, and flags, unrecognized object detection, prefixes and much more.

A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining.

PROJECT HAS MOVED! ROS is now hosted at https://code.ros.org/gf/project/ros/

a sandbox for trying my engine ideas

A simple Krovatka chatbot.

Clever Algorithms collects clear, cookbook-style descriptions of nature-inspired optimization and learning methods, organized so you can pick an algorithm and apply it quickly. Each entry follows a consistent template: motivation, strategy, pseudocode, parameter choices, variations, and references, making it easy to compare approaches. The catalog spans evolutionary algorithms, swarm intelligence, immune systems, simulated annealing, tabu search, and other metaheuristics, plus guidance on when and how to tune them. Example implementations and worked problems show how to encode solutions, define fitness, and balance exploration with exploitation. The emphasis is on pragmatism—enough theory to understand why an algorithm works, and enough detail to get it running in your environment. It’s a useful starting point for students and practitioners who want to prototype, benchmark, or hybridize algorithms without digging through scattered academic papers.

Decision support system. Using user preference method

Eigenfocus is an AI-powered personal knowledge management system that uses embeddings and semantic search to help users organize and retrieve ideas across documents. Designed for researchers and creatives, it enables deep linking between notes and supports querying based on meaning rather than keywords.

ExPo: Exchange Portal is an online financial trading exchange platform designed to run controlled scientific trading experiments between human traders and automated trader robots.

Fast MCP is a lightweight framework designed to simplify the development and deployment of servers that implement the Model Context Protocol. The Model Context Protocol enables AI assistants and applications to connect with external tools, services, and data sources through a standardized interface. Fast-mcp provides developers with a streamlined toolkit for building MCP servers that expose application functionality to AI agents. The framework focuses on ease of use, allowing developers to quickly define tools, endpoints, and integrations that can be accessed through MCP-compatible clients. By abstracting much of the underlying infrastructure, fast-mcp enables rapid prototyping of AI-enabled applications that can interact with external systems such as databases, APIs, or file systems. The project emphasizes performance and simplicity, making it suitable for both small prototypes and production deployments.

Hollaka Hollala is a chatbot engine and IRC bot. The chatbot engine uses a knowledge base organized in an XML file and WordNet for dictionary lookup. The IRC Bot has some WordNet- and Web-based functionality and is hot-extensible through Ruby programs.

A Ruby library with a powerful, high-level, general artificial intelligence engine. Sample implementations include a chatterbox and a mud bot.

Acording to Wikipedia chattetbot is: "a computer program designed to simulate an intelligent conversation with one or more human users via auditory or textual methods, primarily for engaging in small talk". Main objective of project L.I.D.I.A was to create fully operational chatterbot implementing AIML with working dataset. AIML interpreter, is developed in Ruby 1.8. Two datasets were developed. First called "Lidia" - your personal assistant, and second called "Mr. Grape F." which was able to simulate dietician.

LangchainRB is a Ruby implementation of LangChain, allowing developers to build AI-driven applications using large language models (LLMs) and knowledge graphs.

Lita is a chat bot written in Ruby that brings more fun and efficiency to your favorite chat service. Through its plugin system, Lita can be connected to different chat services and display new behavior preferred by those who use it. It's ideal for businesses that want a chat service that is not only efficient, but friendly and personalized as well. Lita can become your very own robot companion, tailor-made for your business. Lita can be customized according to your company's culture and needs. It can be used to automate various time-consuming and error-prone tasks, while also letting your company members have fun and create a sense of community.

Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.

This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.

The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.

Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.

Sublayer is a platform that enables developers to build and deploy machine learning models with ease, focusing on simplifying the ML lifecycle from development to production.

Tools for developing Telegram bots. Best used with Rails, but can be used in a standalone app. Supposed to be used in webhook mode in production, and poller mode in development, but you can use poller in production if you want.