Production-ready TypeScript patterns to build solid and robust AI applications. Retry logic, circuit breakers, rate limiting, human-in-the-loop escalation, prompt versioning, response validation, context window management, and more—all with complete type
AWS Generative AI CDK Constructs is a library for well-architected generative AI patterns.
Agentic AI patterns: ReAct, Planner, Reflection, Agent Team, Self-Modify, Persistent Agent.
MCP server for Fabric AI patterns
Production-ready AI patterns for your Next.js app
Amigo Design System - layout patterns and compound components
Official toolkit for ChronoAI — reusable Features for common AI patterns
The Ultimate AI-Powered IDE for 10x Engineers (Full Agentic Workflow)• 573 Master Skills • 2977 AI Patterns • 30 Workflows • 17 Shared Core Libraries. One Command to Rule Them All.
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
User-friendly glob matching
Extends `minimatch.match()` with support for multiple patterns
The **[Google Vertex provider](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Vertex AI](https://cloud.google.com/vertex-ai) APIs.
Zero dependencies, blazing fast regex-based PII redaction with optional compliance dashboard integration. The modern fork of the abandoned 786k-download library.
An easy-to-use wildcard globbing library.
It's a very fast and efficient glob library for Node.js
AI Manipulation Defense System (AIMDS) with self-learning, prompt injection detection, and vector search integration
Design skills, commands, and anti-pattern detection for AI coding agents
AI DevOps Framework - AI-assisted development workflows, code quality, and deployment automation
Extended glob support for JavaScript. Adds (almost) the expressive power of regular expressions to glob patterns.
Lexes CommonJS modules, returning their named exports metadata
AI SDK v6 provider for OpenCode via @opencode-ai/sdk
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Bash-like brace expansion, implemented in JavaScript. Safer than other brace expansion libs, with complete support for the Bash 4.3 braces specification, without sacrificing speed.
A tiny (118 bytes), secure URL-friendly unique string ID generator
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.
Scores text 0-100 for AI writing patterns using 28 pattern detectors, 500+ vocabulary terms, and statistical text analysis. Ruby port of the humanizer Node.js tool.
Production-ready Rails patterns with AI-assisted scaffolding
Soka is a Ruby framework for building AI agents using the ReAct (Reasoning and Acting) pattern. It supports multiple AI providers including Gemini AI Studio, OpenAI, and Anthropic.
hati-command offers a clear, minimal abstraction for implementing composable service objects and command-pattern interactors. By enforcing explicit Success and Failure result pathways, it aligns well with autonomous system pipelines, decision-chain architectures, and AI-driven orchestration flows.
Scaffold reusable Claude AI skills and agents for Rails projects using familiar Rails generator patterns
Contact Center AI Insights helps users detect and visualize patterns in their contact center data. Understanding conversational data drives business value, improves operational efficiency, and provides a voice for customer feedback.
A minimal Ruby gem for building agentic AI applications using the ReAct (Reasoning + Acting) loop pattern
AI on Rails. Compose, run, and test AI prompts using the familiar controller/view pattern.
Gitingest is a powerful command-line tool that fetches files from GitHub repositories and generates consolidated text prompts for AI analysis. It features smart file filtering, concurrent processing, custom exclusion patterns, authentication support, and automatic rate limit handling. Perfect for creating context-rich prompts from codebases for AI assistants, documentation generation, or codebase analysis.
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.
Unique cognitive identity tracking via emergent trait patterns for brain-modeled agentic AI
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