AI-powered development workflow CLI tools - streamline your development process with intelligent automation
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Integration between n8n workflow automation and Model Context Protocol (MCP)
A tiny (118 bytes), secure URL-friendly unique string ID generator
Angular-native node-based UI library for building node editors, workflow builders, and interactive graph interfaces.
Workflow SDK compatible helper library for the AI SDK
The **Model Context Protocol (MCP) client** for the [AI SDK](https://ai-sdk.dev/docs) lets you connect to MCP servers and use their tools with AI SDK functions like `generateText` and `streamText`.
SWC plugin for transforming Workflow SDK code
Unified LLM API with automatic model discovery and provider configuration
Run commands concurrently
A unified, high-performance i18next CLI.
TypeScript execution environment and REPL for node.js, with source map support
Azure AI Projects client library.
AI workflow engine for code review, assistants, and automation — orchestrate checks, MCP tools, and AI providers with YAML-driven pipelines
AI-native system for spec-driven development
Code Mode: use LLMs to generate executable code that performs tool calls
Workflow SDK - Build durable, resilient, and observable workflows
Microsoft Application Insights JavaScript SDK - Web
Node.js native addon build tool
The CLI for IronBee — Verification and Intelligence Layer for Agentic Development
Enterprise-grade Pull Request automation toolkit with AI-powered code review and description enhancement
An MCP interface into the Bright Data toolset
A high-level API to automate web browsers
The Vercel AI SDK provider for Composio SDK, providing seamless integration with Vercel's AI SDK and tools.
Ruby AI Agents SDK enables creating complex AI workflows with multi-agent orchestration, tool execution, safety guardrails, and provider-agnostic LLM integration.
AppyDave Tools is a consolidated productivity toolkit for YouTube content creation workflow. Includes single-purpose utilities for AI context gathering, subtitle processing, YouTube management, and more. All tools in one codebase for easier maintenance, each operates independently.
rralph automates an iterative, AI-assisted development workflow by reading plan.md, learnings.md, and todo.md, then orchestrating AI tool invocations to complete tasks.
Phronomy provides composable building blocks — Agents, Workflows, Tools, Guardrails, and Tracing — for building AI agents in Ruby. Powered by RubyLLM for LLM abstraction.
Configuration management tool for AI-assisted development workflows. Author rules once, compile to Claude Code, Cursor, AGENTS.md, and more.
Nova is a command-line tool that generates a standardized project structure for product development and documentation. It guides teams through a structured workflow from strategic planning to code generation in an AI-driven environment.
Ruby-native AI coding agent with pluggable LLM adapters, persistent memory, and file editing tools. Features automatic retry logic, SQLite-backed conversation history, and user approval workflows for file modifications.
Build and manage AI agents with ease using ActAsAgent. This gem provides a robust framework for creating, configuring, and deploying intelligent agents that can perform tasks autonomously. Whether you're looking to automate workflows, enhance user interactions, or develop complex AI systems, ActAsAgent offers the tools and flexibility you need to bring your ideas to life.
RailsOrchestrator provides a structured framework for building AI agents in Ruby on Rails applications. It includes tool support, memory management, and orchestration capabilities for composing complex agent workflows.
Soba is an autonomous CLI tool that fully automates GitHub Issue-driven development workflows. It monitors issues, creates implementation plans, generates code, and manages pull requests through seamless integration with Claude Code AI, enabling hands-free development cycles.
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
Rubagent is a lightweight Ruby framework for building modular, composable AI agents that can interact with LLMs (like OpenAI), tools, and external APIs. It provides a flexible architecture for defining agents, managing prompts, and orchestrating multi-step workflows using functional patterns. Features: - Streamed LLM responses (OpenAI, etc.) - Plug-and-play agent design - Shared context and memory flow - Support for custom tools and HTTP integrations - Built-in dry-rb and Zeitwerk compatibility
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