Open Source Ruby AI Agents

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Browse free open source Ruby AI Agents and projects below. Use the toggles on the left to filter open source Ruby AI Agents by OS, license, language, programming language, and project status.

  • Forever Free Full-Stack Observability | Grafana Cloud Icon
    Forever Free Full-Stack Observability | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

    Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
    Create free account
  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
    Start Free
  • 1
    Huginn

    Huginn

    Create agents that monitor and act on your behalf

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

    Langchainrb

    Build LLM-powered applications in Ruby

    LangchainRB is a Ruby implementation of LangChain, allowing developers to build AI-driven applications using large language models (LLMs) and knowledge graphs.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Sublayer

    Sublayer

    A model-agnostic Ruby Generative AI DSL and framework

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
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