Project

Reverse Dependencies for ruby_llm

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

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Repository is gone
A minimal Ruby gem for building agentic AI applications using the ReAct (Reasoning + Acting) loop pattern
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A small Ruby CLI that answers questions about a knowledge-brain vault. Retrieval shells out to the hitgate `rag-query` CLI (JSON mode, argv-array, no shell interpolation); the chat is RubyLLM, with retrieved chunks injected as context and cited in the reply.
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The project is in a healthy, maintained state
Brakeman detects security vulnerabilities in Ruby on Rails applications via static analysis.
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A comprehensive Ruby SDK for interacting with Buda.com cryptocurrency exchange API with debugging, error handling, and comprehensive examples
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The project is in a healthy, maintained state
A unified platform for knowledge, task management, and chat communication with AI Agents
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Envoy is a mountable Rails engine for governed, tool-calling agent chat: a DSL for host-owned toolsets, guard hooks for authorizing every tool call, persisted conversations, and a debug console.
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A Ruby gem for identifying birds from photos and audio using RubyLLM. Adds multi-modal identification, location-aware results, multi-model consensus, and a Rails integration.
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Repository is gone
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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The project is in a healthy, maintained state
Agents that write and execute Ruby code. Inspired by smolagents. LLMs write executable code, not JSON blobs.
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The project is in a healthy, maintained state
Automatically generates Claude Code SKILL.md files from a gem's README, RubyDoc, and changelog. Skills are cached in ~/.gem/skills and symlinked into projects driven by Gemfile.lock. Provides both 'gem skill' and 'bundle skill' subcommands.
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The project is in a healthy, maintained state
Define a safe component catalog, expose it as a RubyLLM tool schema, validate model-generated component trees, and render them with Rails partials, ViewComponent, or JSON.
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No release in over a year
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 a year
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.
2021
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The project is in a healthy, maintained state
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.
2021
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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 ...
2021
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The project is in a healthy, maintained state
A multi-language code generator to cope with Hyrum's law
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The project is in a healthy, maintained state
A durable, resumable turn pipeline behind an OpenAI-Responses-compatible HTTP API, plus a web control UI. Tools, skills, cross-session memory, per-agent policy, content-safety guardrails — one gem, five shapes: reply in-process, serve, rack_app mounted, embed(backend:).
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The project is in a healthy, maintained state
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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The project is in a healthy, maintained state
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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