Project

Reverse Dependencies for ruby_llm

The projects listed here declare ruby_llm as a runtime or development dependency

0.01
The project is in a healthy, maintained state
Nukitori is a Ruby gem for HTML data extraction. It uses an LLM once to generate reusable XPath schemas, then extracts structured data from similarly structured pages using plain Nokogiri. This makes scraping fast, predictable, and cheap for repeated runs.
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There's a lot of open issues
Pocketrb is a Ruby AI agent framework featuring async message bus architecture, multi-LLM support (Claude, OpenRouter, RubyLLM), multi-channel messaging (CLI, Telegram, WhatsApp), planning system, context compaction, and simple JSON-based memory with keyword matching.
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0.01
There's a lot of open issues
A mountable Rails engine that lets users write natural language questions and get SQL queries generated by AI (OpenAI, Anthropic, Gemini, Ollama, and more via RubyLLM), executed against their database, with results displayed in a single interface.
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There's a lot of open issues
Provider-agnostic LLM evaluation with pluggable metrics, statistical A/B comparison, and test framework integration. Ragas for Ruby, powered by RubyLLM.
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There's a lot of open issues
Wraps RubyLLM::Chat with input/output contracts, business-rule validation, retry with model escalation on validation failure, pre-flight cost ceilings, and an evaluation framework. Sibling abstraction to RubyLLM::Agent — same niche (reusable class-based prompts), wider contract.
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0.01
The project is in a healthy, maintained state
A RubyLLM provider that implements OpenAI's Responses API, providing access to built-in tools (web search, code interpreter, file search, shell, apply patch), stateful conversations, server-side compaction, containers API, background mode, and MCP support.
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0.01
The project is in a healthy, maintained state
Load, validate, and integrate Agent Skills with RubyLLM. Supports the open Agent Skills specification for progressive skill discovery and loading from filesystem, zip archives, and databases.
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0.01
No release in over a year
RubyLLM::Template provides a flexible template system for RubyLLM, allowing you to organize chat prompts, system messages, and schemas in ERB template files for easy reuse and maintenance.
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0.0
The project is in a healthy, maintained state
AI on Rails. Compose, run, and test AI prompts using the familiar controller/view pattern.
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0.0
The project is in a healthy, maintained state
Batch processing for pipelines of steps for AI. AgentC, get it?
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0.0
The project is in a healthy, maintained state
AgentHarness provides a unified interface for CLI-based AI coding agents like Claude Code, Cursor, Gemini CLI, and others. It offers full orchestration with provider switching, circuit breakers, health monitoring, flexible configuration, dynamic provider registration, and token usage tracking.
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No release in over a year
AgentRuby is a Ruby library that allows you to create and manage workflows using LLMs (Large Language Models). It provides a simple and intuitive interface for defining tasks, managing dependencies, and executing workflows.
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 Popularity
0.0
No release in over a year
AgentRuby is a Ruby library that allows you to create and manage workflows using LLMs (Large Language Models). It provides a simple and intuitive interface for defining tasks, managing dependencies, and executing workflows.
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 Popularity
0.0
The project is in a healthy, maintained state
Give an AI agent a disposable computer: run shell commands, read/write files, expose ports. Pluggable backends (Docker today, E2B/Cloudflare later).
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0.0
The project is in a healthy, maintained state
Ruby server implementation of the AG-UI protocol (SSE event streaming, run loop, client-tool round-trips, A2UI) for driving CopilotKit frontends from Rack/Falcon.
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0.0
The project is in a healthy, maintained state
ai turns natural language into runnable shell commands using OpenAI or Anthropic. Chat with the model and execute suggested commands live in your shell in one seamless flow. Install the aicli gem, then run the ai command.
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0.0
The project is in a healthy, maintained state
The AI-Dev-Pipeline (AIDP) CLI provides a powerful, markdown-driven workflow for software development. It supports in-depth project analysis to understand existing codebases and an execution mode to systematically implement new features.
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Repository is gone
Reads schema + associations and generates realistic seed data using an LLM (via ruby_llm).
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The project is in a healthy, maintained state
An advanced AI-powered git commit message generator. It leverages multiple AI providers including OpenAI, Anthropic, Google, and local models via Ollama to create meaningful and contextual commit messages. This gem streamlines the commit process, ensuring consistent and informative version control practices across projects.
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