18 projects for "ruby.2.1.1p76" with 2 filters applied:

  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • Secure File Transfer for Windows with Cerberus by Redwood Icon
    Secure File Transfer for Windows with Cerberus by Redwood

    Protect and share files over FTP/S, SFTP, HTTPS and SCP with the #1 rated Windows file transfer server.

    Cerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
    Try for Free
  • 1
    RubyLLM

    RubyLLM

    One beautiful Ruby API for OpenAI, Anthropic, Gemini, Bedrock

    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. ...
    Downloads: 4 This Week
    Last Update:
    See Project
  • 2
    Fast MCP

    Fast MCP

    A Ruby Implementation of the Model Context Protocol

    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...
    Downloads: 6 This Week
    Last Update:
    See Project
  • 3
    MCP UI

    MCP UI

    SDK for building interactive UI components over MCP for AI tools

    ...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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Model Context Protocol (MCP)

    Model Context Protocol (MCP)

    Specification and documentation for the Model Context Protocol

    ...It gives developers a consistent way to expose tools, prompts, resources, and server capabilities to language models. Its broader ecosystem supports many languages, including TypeScript, Python, Java, Kotlin, C#, Go, PHP, Ruby, Rust, and Swift.
    Downloads: 8 This Week
    Last Update:
    See Project
  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
    Try it free
  • 5
    BAML

    BAML

    The AI framework that adds the engineering to prompt engineering

    ...The framework enables developers to define prompt logic in a dedicated language while integrating it into applications written in various programming languages such as Python, TypeScript, Ruby, and Go. BAML also allows developers to specify which models are used for each prompt and how outputs should be validated or structured. By converting prompt engineering into a more formal programming workflow, the framework improves reliability, debugging, and maintainability of AI systems.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    CodeSearchNet

    CodeSearchNet

    Datasets, tools, and benchmarks for representation learning of code

    ...These pairs allow machine learning models to learn relationships between natural language descriptions and programming code. The dataset currently covers several widely used programming languages, including Python, JavaScript, Ruby, Go, Java, and PHP. In addition to the dataset itself, the repository includes baseline models, evaluation tools, and instructions for building code retrieval systems that can map user queries to relevant code snippets.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    Command Line Parser GetPot

    Command Line Parser GetPot

    Tool to parse the command line and configuration files.

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    A collection of software made by Milos Rancic.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9

    L.I.D.I.A

    L.I.D.I.A is a chatterbot developed in Ruby implementing AIML

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.

    Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
    Claim $300 Free
  • 10
    Decision support system. Using user preference method
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 12
    Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    ...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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 14
    A simple Krovatka chatbot.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    A Ruby library with a powerful, high-level, general artificial intelligence engine. Sample implementations include a chatterbox and a mud bot.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    A client side browser implementation of Tom Ray's Tierra Artificial Life simulator (http://en.wikipedia.org/wiki/Tierra_(computer_simulation)).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    a sandbox for trying my engine ideas
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next