Unified CLI to manage AI editor rules and MCP configs (Cursor, Windsurf, Copilot, Kiro, Codeium, Codex, VSCode, Zed, OpenCode).
Codemap for AI — tree-sitter powered code signature extraction and call graph
Document Intelligence Rest Client
Azure AI Projects client library.
Microsoft Application Insights JavaScript SDK - Web
Vertex Generative AI client for Node.js
AI SDK v6 provider for Claude via Claude Agent SDK (use Pro/Max subscription)
CLI tool for Size Limit
A tiny (118 bytes), secure URL-friendly unique string ID generator
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.
The official TypeScript library for the Anthropic Vertex API
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Azure AI Agents client library.
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An isomorphic client library for the Azure Translator Service
An AI web browsing framework focused on simplicity and extensibility.
SDK focused on building AI based applications for Microsoft Teams.
[React](https://react.dev/) UI components for the [AI SDK](https://ai-sdk.dev/docs):
The **[Google Generative AI provider](https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Generative AI](https://ai.google/discover/generativeai/)
Azure client library to use AI Search for node.js and browser.
The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of AI models and providers.
The **[Anthropic provider](https://ai-sdk.dev/providers/ai-sdk-providers/anthropic)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Anthropic Messages API](https://docs.anthropic.com/claude/reference/messages_post).
htmlparser2 tree adapter for parse5.
[](https://www.npmjs.com/package/@google/genai) [](https://www.npmjs.com/package/@google/genai)
An unofficial Braintree client for Rust.
This crate allows easy access to the [Braintree](https://www.braintreepayments.com) API via the GraphQL interface.
An AI to play Go using Monte Carlo Tree Search. Currently includes the mcts gem and benchmark/avg. Works on all major ruby versions.
AI4R is a lightweight, educational Ruby library featuring clean implementations of core machine learning and AI algorithms—such as decision trees, neural networks, k-means, genetic algorithms, and even a bit size Transformers architecture covering encoder, decoder, and seq2seq variations. Designed with simplicity and clarity in mind, this library is ideal for students, educators, and developers who want to understand these algorithms line by line. With no external dependencies, no GPU support, and no production overhead, AI4R serves as a practical and transparent way to explore the foundations of AI in Ruby. It is a long-maintained open-source effort to bring accessible, hands-on machine learning to the Ruby community.
Behavioral spec-based task management with compact IDs, subtask trees, AI-powered implementation plans, and automated health checks. Same CLI for developers and coding agents.
Wraps Ferrum (Chrome headless via CDP) with AI-optimized content extraction: accessibility tree with refs, compact markdown snapshots, and stealth mode.
This combines shuffling, statistics, and symbolic AI to carry out a similar process in the real world: take a deck of randomized flash cards, write down the names of potential customer types, and gradually eliminate customer possibilities using symbolic association. Dreamed while designing tree houses.
A Ruby tool for transforming existing markdown documentation into AI-friendly formats following the llms.txt standard. Features include: generating llms.txt files from documentation directories with automatic file prioritization, transforming individual markdown files by expanding relative links to absolute URLs, and bulk transforming entire documentation trees with customizable exclusion patterns. Provides both CLI and Ruby API with configuration file support.
+pikuri+ is the convenience bundle for the pikuri AI-assistant toolkit. It ships no Ruby code of its own beyond a tiny entry file that +require+'s each sibling gem; +gem install pikuri+ pulls in pikuri-core, pikuri-extractors, pikuri-pdf, pikuri-skills, pikuri-tasks, pikuri-memory, pikuri-workspace, pikuri-code, pikuri-mcp, pikuri-subagents, pikuri-vectordb, and pikuri-assistant in one shot, and +require 'pikuri'+ boots all of them. Privacy-conscious users who want a minimal dependency tree to audit should install +pikuri-core+ directly and opt into the extension gems they actually need — same +bundle add+ pattern Rails users have always had. See each pikuri-* gem's README for its individual surface.
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