Set up Claude Context Engineering for any project with a single command
An ACP-compatible coding agent powered by the Claude Agent SDK (TypeScript)
SDK for building AI agents with Claude Code's capabilities. Programmatically interact with Claude to build autonomous agents that can understand codebases, edit files, and execute workflows.
Use Claude Code without an Anthropics account and route it to another LLM provider
The official [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server for [LaunchDarkly](https://launchdarkly.com/).
Structured diagnostic code library
The official TypeScript library for the Anthropic API
Polyfill for the proposed React context API
Core indexing engine for Claude Context
A command line tool for setting up Stripe MCP server
This is an internal utility, not intended for public usage.
Standalone MCP (Model Context Protocol) server - stdio/http/websocket transports, connection pooling, tool registry
OpenTelemetry Node SDK provides automatic telemetry (tracing, metrics, etc) for Node.js applications
Gmail MCP server with auto authentication support
Lean output compaction for terminal-heavy agent workflows.
The AssemblyAI JavaScript SDK provides an easy-to-use interface for interacting with the AssemblyAI API, which supports async and real-time transcription, as well as the latest LeMUR models.
Playwright Tools for MCP
HTTP proxy for Claude Desktop API requests with Laminar observability
Create a context hook and provider for managing the state of your react application
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`.
A fork of create-react-context in MIT license
Provides an API for ESLint custom rules that is compatible with the latest ESLint even when using older ESLint.
View docs [here](https://radix-ui.com/primitives/docs/components/context-menu).
Model Context Protocol server for Obsidian Vaults
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.
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.
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
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.