Generate AI rules and agent skills for your stack (Cursor, Claude, Windsurf, etc.)
Fluent UI React Contexts shared by multiple components.
Reactive contexts for RetailCRM JS API
DOM shim for Lit Server Side Rendering (SSR)
A library for one-to-many cross-origin communication between Window contexts, built on the postMessage API.
Storybook Addon Contexts
Unified Browserbase CLI for browser automation and cloud APIs.
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.
A tiny (118 bytes), secure URL-friendly unique string ID generator
No description provided.
Playwright Test wrapper with Stably AI matchers
No description provided.
Minimal context management helper for applications and libraries.
Parses JSON-LD contexts
parse arguments with recursive contexts
No description provided.
[React](https://react.dev/) UI components for the [AI SDK](https://ai-sdk.dev/docs):
Copy stuff into clipboard using JS with fallbacks
A pure JavaScript implementation of a BPE tokenizer (Encoder/Decoder) for GPT-2 / GPT-3 / GPT-4 and other OpenAI models
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/)
CLI tool for managing Contox AI contexts
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).
Extract timeline and memory from AI agent sessions (Claude Code, Codex, Gemini)
Operator CLI + MCP server: canonical corpus first, optional semantic index second (Claude Code, Codex, Gemini)
FAF (Foundational AI-context Format) — Project DNA for any AI. IANA-registered application/vnd.faf+yaml.
Parser and tools for .faf files — Foundational AI-context Format
Engine for FAF (Foundational AI-context Format) — parsing, scoring, compilation
Rust SDK for FAF (Foundational AI-context Format) - IANA-registered application/vnd.faf+yaml
MCP server for FAF (Foundational AI-context Format) — Model Context Protocol integration
WASM runtime for FAF (Foundational AI-context Format) — browser and edge computing
FAFb binary format for FAF (Foundational AI-context Format) — IANA-registered application/vnd.fafb
CLI for FAF (Foundational AI-context Format) — Project DNA for any AI
Radio Protocol for FAF — broadcast AI context once, every tool receives
Radio Protocol client for FAF — broadcast AI context once, all tools receive. Client SDK for mcpaas.live.
context_spook is a library that collects and organizes project information to help AI assistants understand codebases better.
ace-git gives developers and coding agents focused git context commands and guided workflows for rebases, pull requests, and commit reorganization, with smart diff output and Git 2.23+ guardrails.
Memoflow captures git-backed development context and exposes a lightweight query API for AI assistants.
Rails-AI-Bridge introspects your Rails application and exposes structure to AI assistants via static context files and a live Model Context Protocol (MCP) server. It classifies Active Record models semantically (Core, Join, Supporting), optionally surfaces non-ActiveRecord Ruby classes under app/models (tagged POJO/Service), and integrates with editors and assistants such as Claude, Gemini, Cursor, and Windsurf.
Superkick wraps AI coding CLIs in a PTY proxy and injects CI results, PR reviews, and other external context — right when the agent is ready to hear it.
Interactive rake tasks to generate context files for AI coding assistants (Claude, Cursor, Windsurf, Codex, llm.txt). Uses RubyLLM to analyze your codebase and create platform-specific context that helps AI understand your project.
A CLI tool that analyzes source code to extract contextual information for translation keys, improving translation quality with AI-powered analysis.
Ruby client library for integrating with Model Context Protocol (MCP) servers to access and invoke tools from AI assistants
Build AI agents with declarative DSL and Model Context Protocol support
RLM.rb is a Ruby runtime spine for Recursive Language Models. It runs bounded, typed, auditable AI jobs over files, records, and application context. RLM.rb includes RubyLLM provider access, a dspy.rb signature adapter, the recursive prompt loop, file/context mounting, recursive sub-LM calls, typed final output, budget controls, trace events, and a best-effort trace_store hook.
A comprehensive AI toolkit for Rails with multi-provider support, context awareness, and performance optimizations
Claude Swarm enables you to run multiple Claude Code instances that communicate with each other via MCP (Model Context Protocol). Create AI development teams where each instance has specialized roles, tools, and directory contexts. Define your swarm topology in simple YAML and let Claude instances collaborate across codebases. Perfect for complex projects requiring specialized AI agents for frontend, backend, testing, DevOps, or research tasks.