This package provides a foundation for implementing providers that expose an OpenAI-compatible API.
AI-powered E2E Playwright testing CLI. Stably can understand your codebase, edit/run tests, and handle complex test scenarios for you.
An opinionated full-stack agent turn runner with native memories, interrupts, and multi-agent orchestration
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.
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`.
The AI coding agent built for the terminal. Generate code from natural language, automate tasks, and run terminal commands -- powered by 500+ AI models.
Native binary for Claude Code on linux-x64
Command-line interface for Runtype AI platform
DevCycle CLI Tool
NatureCo AI Bot Terminal Interface
ContentSafety Service
Helpers and control plane to handle simulators and observability
@reliverse/rse-sdk without cli. @reliverse/rse-sdk allows you to create new plugins for @reliverse/rse CLI, interact with reliverse.org, and even extend your own CLI functionality (you may also try @reliverse/dler-sdk for this case).
Develop and deploy code with zero configuration
The Firebase AI SDK
Git worktree CLI for fast context switching.
CLI tool to generate translations for new i18n keys in your git branch
GitLab Duo for your command line
No description provided.
The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs) gives access to over 300 large language models on the OpenRouter chat and completion APIs.
Powerful, self-contained AI context layer. Combines persistent memory, temporal knowledge graph, and hybrid code search into one local engine. Zero cloud, 100% private.
CLI coding agent for complex agentic workflows and long-horizon development. Local models (llama.cpp / Ollama), BYOK across 17 providers, parallel agents, persistent memory, scanned skills.
CLI-Shim, der Projekt-Checks ausführt, bevor ein echtes CLI-Kommando (z. B. Supabase, Git) läuft. Optional: Web-Dashboard zum Konfigurieren von Presets, Trigger-Befehlen, Checks und AGENTS.md.
Browser automation CLI for AI agents