Server & Client SDK for Agent2Agent protocol
A JavaScript library for escaping CSS strings and identifiers while generating the shortest possible ASCII-only output.
For ruby and ruby on rails
Ruby SemVer in TypeScript.
Convention over configuration for using Vite in Ruby apps
Like ruby's abbrev module, but in js
Ruby grammar for tree-sitter
prettier plugin for the Ruby programming language
WebSocket framework for Ruby on Rails.
bootstrap-sass is a Sass-powered version of Bootstrap 3, ready to drop right into your Sass powered applications.
Convention over configuration for using Vite in Rails apps
realistic password strength estimation
JavaScript client for graphql-ruby
VoltAgent A2A server implementation for exposing agents over the Agent-to-Agent protocol.
Gemini CLI A2A Server
A Stimulus Wrapper for Flatpickr library
Provide I18n to your React Native application
Prism Ruby parser
A TypeScript integration that connects AG-UI agents with remote services that expose the [A2A protocol](https://a2a.dev/). It converts AG-UI conversations into A2A payloads, forwards them through the official A2A SDK, and replays the responses back into A
A pure JavaScript implementation of Sass.
## Installation
Ruby on Rails unobtrusive scripting adapter
LLM-Agent-First Specification schemas and conformance tooling
A lightweight Sass tool set.
Complete A2A Protocol implementation for Ruby applications, enabling agent-to-agent communication via JSON-RPC 2.0, gRPC, and HTTP+JSON transports
Client and server for the A2A protocol — async-first, Rack-compatible, built on Falcon.
A robust Ruby client for Traylinx Sentinel A2A authentication. Provides secure token management, OAuth2 exchange, and Rack middleware.
llm.rb is Ruby's most capable AI runtime. It runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state. As a bonus, llm.rb is also available for mruby. It supports OpenAI, OpenAI-compatible endpoints, Anthropic, Google Gemini, DeepSeek, xAI, Z.ai, AWS Bedrock, Ollama, and llama.cpp. It also includes built-in ActiveRecord and Sequel support, plus concurrent tool execution through threads, tasks (via async gem), fibers, ractors, and fork (via xchan.rb gem).
RailsLLM integrates the llm.rb runtime and its features into Rails. RailsLLM extends the builtin ActiveRecord support available to the llm.rb runtime with a Rails integration that includes generators for getting set up quickly, and an engine for a stream-capable chat interface that can be extended with your own tools. The llm.rb runtime runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.