Visual dashboard for Claude Code and Codex sessions
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.
[](https://www.npmjs.com/package/@google/genai) [](https://www.npmjs.com/package/@google/genai)
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-x64
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-x64-musl
Detect if code is running in an AI agent or automated development environment
Advanced MCP server for intelligent computer use automation and AI agent operator control. Supports mouse and keyboard input, window-relative vision and coordinates, Retina display, and screenshot-based debugging. Designed for AI-driven workflows, app and
Azure AI Projects client library.
Azure AI Agents client library.
LangGraph
Native CLI binary for @anthropic-ai/claude-agent-sdk on win32-x64
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-arm64
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-arm64-musl
AI SDK v6 provider for Claude via Claude Agent SDK (use Pro/Max subscription)
Rsbuild builder for Storybook
Native CLI binary for @anthropic-ai/claude-agent-sdk on darwin-arm64
Native CLI binary for @anthropic-ai/claude-agent-sdk on darwin-x64
Deep Agents - a library for building controllable AI agents with LangGraph
AI-powered chat and tool execution for Open Mercato, using MCP (Model Context Protocol) for tool discovery and execution.
Native CLI binary for @anthropic-ai/claude-agent-sdk on win32-arm64
Genkit AI framework plugin for Google AI & Vertex APIs, including Gemini APIs.
No description provided.
Create a new LangGraph project
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.
A type-safe Ruby client for the Firecrawl v2 API. Supports scraping, crawling, batch scraping, URL mapping, web search, and AI agent operations.
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
RcrewAI Rails is a comprehensive Rails engine that brings AI agent orchestration to your Rails applications. Build intelligent AI crews that collaborate to solve complex tasks with full database persistence, background job integration, and a beautiful web dashboard for monitoring and management. Features: • ActiveRecord models for crews, agents, tasks, and executions with full persistence • Rails generators for scaffolding AI crews and agents • ActiveJob integration for asynchronous crew execution (works with any Rails background job adapter) • Web dashboard with real-time monitoring and management interface • Multi-LLM support: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Production-ready with logging, error handling, and security controls • Human-in-the-loop workflows with approval mechanisms • Tool ecosystem: web search, file operations, SQL, email, code execution
Embeds a FOSM-aware MCP server and ACP agent into your Rails development environment, giving coding agents (Claude Code, Codex, Copilot) runtime intelligence: database queries, logs, code evaluation, and deep introspection of FOSM lifecycle definitions, state machines, transitions, guards, and audit trails. Built on the FOSM (Finite Object State Machine) paradigm — declarative lifecycles for business objects where AI agents operate within bounded, auditable state machines.
No description provided.
No description provided.