The system around the AI that makes the AI reliable. Structured AI-assisted development with the PIV+E loop.
Multi-agent AI development framework for Gemini CLI
Portable AI development framework — agents, sub-agents, skills and tools for AI-assisted development
Unified AI Development Framework - BMAD phases with Ralph execution loop
Spec-driven, test-governed AI development framework
33-agent AI development framework — any stack, any IDE, any cloud. Zero dependencies.
Spec Driven AI Development Framework
26-agent AI development framework — any stack, any IDE, any cloud. Zero dependencies.
JDI - AI development framework for Claude Code
Tool-agnostic AI development framework. Standardize projects across Claude Code, Cursor, Gemini, Codex, Windsurf, Copilot with automated templates, quality gates, persistent memory, and framework detection for 28 languages, 17 frameworks, 13 MCP modules,
State-machine enforced AI development framework for Cursor IDE
Trust-grade AI development framework — zero-dependency runtime engine for agent orchestration, workflow governance, and skill management.
LangGraph
Important: this is an internal API. Expect breaking changes.
A collection of essential TypeScript types
AI Development Framework for Next.js projects with GitHub and Vercel MCP integration
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🚀 Trust-Grade AI development framework with a 29-module runtime engine — 20 Agents, 34 Skills, 37 Commands, 21 Workflows, 9 Rules, 349 Tests. Workflow enforcement, task governance, agent reputation, self-healing, and skill marketplace.
Typescript bindings for langchain
An AI web browsing framework focused on simplicity and extensibility.
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
AI DevOps Framework - AI-assisted development workflows, code quality, and deployment automation
AI Development Framework for Enterprise Development - Complete Japanese SDLC automation with Claude Code integration
Tools for writing MCP clients and servers without pain
Production-ready Rails patterns with AI-assisted scaffolding
Modern service orchestration framework designed for the AI era. Enables rapid development of both traditional and AI-powered applications through composable, testable operations. Features agent-oriented architecture, AI-friendly patterns, and robust service composition.
An model-agnostic framework for LLM AI development
Riffer is a comprehensive Ruby framework designed to simplify the development of AI-powered applications and agents. It provides a complete toolkit for integrating artificial intelligence capabilities into your Ruby projects.
The Ruby framework for programming with large language models. DSPy.rb brings structured LLM programming to Ruby developers. Instead of wrestling with prompt strings and parsing responses, you define typed signatures using idiomatic Ruby to compose and decompose AI Worklows and AI Agents.
A Ruby framework where AI is the primary developer and humans provide high-level guidance.
UNOFFICIAL Ruby port of Google's Agent Development Kit (ADK). This gem is not affiliated with, endorsed by, or maintained by Google. Build, evaluate, and deploy AI agents using the ADK framework in Ruby.
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.
A high-performance NATS client built on the async framework, providing fiber-based concurrency for better resource efficiency. Built on top of nats-pure with full API compatibility. WARNING: This project was developed entirely by the Windsurf AI code agent and should be considered experimental.
RSpec::Llama is a testing framework that allows developers to easily configure, run, and validate AI models such as OpenAI's GPT models, Llama, and others within the RSpec ecosystem. With a focus on simplicity and extensibility, RSpec::Llama provides: - A standardized approach to configuring different AI models with customizable parameters. - Runners to execute model interactions and capture responses seamlessly. - Comprehensive assertion types to validate model outputs against expected patterns. Whether you are developing AI-powered applications or simply need a reliable way to test various AI models' outputs, RSpec::Llama offers an all-in-one solution that integrates smoothly into your existing RSpec setup.
Lightyear is a Ruby framework for building hybrid human-agent organizations where humans and AI agents work together as peers. Built by Pacific Robots. This 0.0.0 release reserves the gem name; the framework is under active development.
Boma Gem for building AI agents, workflows, and service integrations. Boma provides a framework for creating intelligent agents that can perform complex tasks by integrating with various services and APIs. It allows developers to build AI-powered applications with ease, enabling them to automate workflows, make decisions, and interact with users in a natural way.
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