Project

Reverse Dependencies for ruby_llm

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

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No release in over 3 years
FlowEngine provides a DSL for defining multi-step flows as directed graphs with conditional branching, an AST-based rule evaluator, and a pure-Ruby runtime engine. No framework dependencies.
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Agents that write and execute Ruby code. Inspired by smolagents. LLMs write executable code, not JSON blobs.
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A long-lived project that still receives updates
Genie CLI is a command-line tool that brings Test Driven Development (TDD) principles to life by integrating with a large language model (LLM) through the ruby_llm library. It provides an interactive session to write tests, implement code, and manage your codebase.
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A long-lived project that still receives updates
Genie CLI is a command-line tool that brings Test Driven Development (TDD) principles to life by integrating with a large language model (LLM) through the ruby_llm library. It provides an interactive session to write tests, implement code, and manage your codebase.
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No release in over 3 years
RubyLLM provider for girb (AI-powered IRB assistant). Install this gem to use OpenAI, Anthropic, Gemini and other LLMs via RubyLLM as your LLM backend.
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HTM (Hierarchical Temporal Memory) provides intelligent memory/context management for LLM-based applications. It implements a two-tier memory system with durable long-term storage (PostgreSQL) and token-limited working memory, enabling applications to recall context from past conversations using RAG (Retrieval-Augmented Generation) techniques.
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A multi-language code generator to cope with Hyrum's law
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Agents that write and execute Ruby code. Developers can build and distribute Agents as files or compiled jar files. Inspired by smolagents. LLMs write executable code, not JSON blobs.
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An open-source, security-first AI agent framework in Ruby with capability-based permissions, sandboxed skills, and a layered prompt system.
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Interact with PostgreSQL, MySQL, and Oracle databases using natural language. Powered by RubyLLM with a locally-running Ollama model.
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A Ruby gem for translating Markdown files using AI while preserving formatting
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A minimalist AI agent framework with multi-channel support, tool calling, and extensible architecture
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The project is in a healthy, maintained state
Phronomy provides Agent, Workflow, Memory, Tool, Guardrail, RAG, and Multi-agent capabilities for building AI agents in Ruby and Rails. Powered by RubyLLM for LLM abstraction.
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A library for assembling AI assistants: Pikuri::Agent (a thin wrapper around ruby_llm's chat loop), Pikuri::Tool with strict argument validation, a listener surface for rendering / budgets / sub-agents, and a small set of bundled tools (calculator, web search, web scrape, fetch, plus six coding tools: read / write / edit / grep / glob / bash). Downstream projects (notably the planned pikuri-tui) wire these into actual binaries. The repo also ships `bin/pikuri-chat` and `bin/pikuri-code` as demo entry points, but they are NOT installed by `gem install pikuri` — they exist to show how to wire the library together and to support development.
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Probatio Diabolica runs custom *_spec.rb files with a DSL inspired by RSpec and supports text/image/PDF reporting.
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Ragents is a pure Ruby, Ractor-based AI agent framework designed for concurrent, isolated agent execution. It provides message-passing architecture, tool-based actions, and provider-agnostic LLM integration without Rails dependencies.
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Unified tool definition pipeline for Rails 8 applications using FastMCP and RubyLLM.
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