A lightweight agentic workflow system for testing AI agent flows with local LLMs and tool integrations
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
Shared types, questions, and scoring logic for MBTI AI Agent Test
Get a user agent string across all JavaScript Runtime Environments
Azure AI Projects client library.
Azure AI Agents client library.
LangGraph
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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
Allure Agent Plugin – AI-friendly markdown report generator
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
Promptbook: Create persistent AI agents that turn your company's scattered knowledge into action
Native CLI binary for @anthropic-ai/claude-agent-sdk on win32-arm64
A testing framework for chatbot and AI agent conversations, providing DSL, matchers, parallel execution, and HTML reporting.
Evilution is a mutation testing tool for Ruby. It validates test suite quality by making small code changes and checking if tests catch them. AI-agent-first design with JSON output, diff-based targeting, and coverage-based filtering.
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.
Define qualitative evaluation criteria and let an LLM judge if responses pass. Perfect for testing AI agents, comparing models, and evaluating subjective qualities.
Scientific hypothesis testing cycle for brain-modeled agentic AI — Bayesian evidence accumulation, lifecycle management, competing hypotheses
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.
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