A DSL and framework for building AI powered applications through the use of Generators, Actions, Tasks, and Agents

Easy split testing and feature flagging for Rails with TestTrack server

A streamlined, production-focused toolkit for building MCP servers in Rails applications. Provides essential base classes, authentication gateways, and HTTP transport with minimal dependencies.

Yaml rule-based confinement

ActiveGraph integration with the Devise authentication framework

Supports JSON content, custom HTTP headers, and post-processing of extracted content.

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NoPassword is a toolkit that makes it easy to implement temporary, secure login codes initiated from peoples' web browsers so they can login to Rails applications via email, SMS, CLI, QR Codes, or any other side-channel.

rails-ai-context turns your running Rails app into the source of truth for AI coding assistants. Instead of guessing from training data or stale file reads, agents query 38 live tools (via MCP server or CLI) to get your actual schema, associations, routes, inherited filters, conventions, and test patterns. Semantic validation catches cross-file errors (wrong columns, missing partials, broken routes) before code runs — so AI writes correct code on the first try. Auto-generates context files for Claude Code, Cursor, GitHub Copilot, OpenCode, and Codex CLI. Works standalone or in-Gemfile.

Regent is a library for building AI Agents that utilize tools to accomplish tasks. Current implementation is based on the ReAct Agent architecture.

Ruby API client that handles uploads and further operations with files by wrapping Uploadcare Upload and REST APIs.

Callback Hell analyzes your Rails application models and provides useful insights on callbacks and validations defined

Cards are wiki-inspired data atoms.Card "Sharks" use links, nests, types, patterned names, queries, views, events, and rules to create rich structures.

A domain specific language for composable business transaction workflows.

ActiveRecord-ish DynamoDB ORM

Ruby port of some Scala's monads.

A toolkit to both detect and sanitize homographic spoofing attacks in URLs and Email addresses

Runs RSpec, Karma, Mocha, and Python Pytest Test builds and pushes JSON output to Learn.