rubyllm

AI framework for Ruby/Rails developers

Agent Skills extension for RubyLLM - load, validate, and integrate skills from filesystem or database

Automatically filter sensitive information from RubyLLM conversations using Top Secret.

Agents as plain Ruby objects. Fields are state, methods are tools, and the methods you declare without a body are written by the model at runtime.

Undercover Agents is an open-source, multi-tenant AI platform for building, operating, and publishing agentic systems from a Rails application.

Smart gateway for LLM calls in Ruby/Rails. Semantic cache (Redis + cosine similarity), model router, stop word compressor, and sliding window history manager.

A minimal coding agent for your terminal, built on RubyLLM 2.0. Two models can take the same task with /collab: they explore your code in parallel, argue until they agree, then one implements and the other reviews.

We developed an AI assistant capable of answering questions and providing guidance about dogs, helping owners access a first level of information before a potential consultation with a veterinarian. The application was built using Ruby on Rails and RubyLLM.

Code example to stream text in Telegram bot using Ruby & RubyLLM

Ruby CLI that finds emojis what's special about any date Multi-provider AI with offline fallback.

AI shopping assistant built with Rails 8, RubyLLM, and Google Gemini — realtime Turbo Streams, live Shopify Catalog API search via MCP, background jobs with Solid Queue

Rule-driven CLI that scans a directory for leaked secrets (private keys, cloud/API tokens, sensitive env vars) before you publish it.

vapalape.com public repos

VCR cassettes for RubyLLM agent trajectories — record agent runs as DAGs, replay the canonical path, only pay the LLM for net-new paths

Ruby AI CLI that chats over your knowledge base: retrieval via hitgate's rag-query, answers cite the exact source chunks. Provider-agnostic (Anthropic, OpenAI, Ollama).