MCP server for Nerve — gives AI agents runtime access to iOS apps
The **[Google Vertex provider](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Vertex AI](https://cloud.google.com/vertex-ai) 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.
Runtime agnostic JS utils
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The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of AI models and providers.
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.
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).
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/)
The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.
This package provides a foundation for implementing providers that expose an OpenAI-compatible API.
Promptbook: Create persistent AI agents that turn your company's scattered knowledge into action
LangGraph
Anthropic Sandbox Runtime (ASRT) - A general-purpose tool for wrapping security boundaries around arbitrary processes
Azure AI Agents client library.
Agent 365 Runtime SDK for AI agents built with TypeScript/Node.js
The **[Mistral provider](https://ai-sdk.dev/providers/ai-sdk-providers/mistral)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Mistral chat API.
The **[xAI Grok provider](https://ai-sdk.dev/providers/ai-sdk-providers/xai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the xAI chat and completion APIs.
The **[Amazon Bedrock provider](https://ai-sdk.dev/providers/ai-sdk-providers/amazon-bedrock)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Amazon Bedrock [converse API](https://docs.aws.amazon.com/bedrock/latest/APIR
Detect if code is running in an AI agent or automated development environment
A high-level API to automate web browsers
The **[Azure provider](https://ai-sdk.dev/providers/ai-sdk-providers/azure)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Azure OpenAI API.
A high-level API to automate web browsers
TypeScript SDK for AWS Bedrock AgentCore
Solid Agent stores agent runs in its own database and dispatches staged workflow tasks to the RubyLLM runtime with a built-in Rails UI.
Monitor every action, enforce policies, and automatically roll back damage from AI agents.
The CrowdStrike for AI Agents — Real-time security monitoring, threat detection, and runtime protection for LLM-powered agents.
Ruby SDK for MUXI AI platform - manage AI agent formations and interact with their runtime APIs
TurnKit provides a small Ruby runtime for AI agents with conversations, turns, tool calls, terminal tools, file-based skills, sub-agents, and optional Rails persistence.
llm.rb is Ruby's most capable AI runtime. It runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state. As a bonus, llm.rb is also available for mruby. It supports OpenAI, OpenAI-compatible endpoints, Anthropic, Google Gemini, DeepSeek, xAI, Z.ai, AWS Bedrock, Ollama, and llama.cpp. It also includes built-in ActiveRecord and Sequel support, plus concurrent tool execution through threads, tasks (via async gem), fibers, ractors, and fork (via xchan.rb gem).
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.
Kernai is an AI agent kernel based on a universal XML block protocol, enabling simple, dynamic, observable and fully controlled orchestration without external runtime dependencies. Ships with reference provider adapters for Anthropic, OpenAI and Ollama, native multimodal support, a workflow DAG scheduler, pluggable recorder sinks and an optional MCP (Model Context Protocol) bridge.
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