Project
Reverse Dependencies for ruby_llm
The projects listed here declare ruby_llm as a runtime or development dependency
0.01
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
0.01
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.01
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.01
Provider-agnostic LLM evaluation with pluggable metrics, statistical A/B comparison, and test framework integration. Ragas for Ruby, powered by RubyLLM.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.01
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.01
Rails instrumentation for RubyLLM
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.01
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.01
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.01
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.0
AI on Rails. Compose, run, and test AI prompts using the familiar controller/view pattern.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.0
Batch processing for pipelines of steps for AI. AgentC, get it?
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
0.0
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.0
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.0
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.0
Give an AI agent a disposable computer: run shell commands, read/write files, expose ports. Pluggable backends (Docker today, E2B/Cloudflare later).
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
0.0
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
0.0
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
0.0
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.0
Reads schema + associations and generates realistic seed data using an LLM (via ruby_llm).
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity
0.0
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.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Activity