Simple key-value storage with support for multiple backends
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.
This package provides pluggable adapters for different authentication schemes.
This package provides pluggable adapters for OAuth 2.0 authentication schemes.
OpenAPI 3 and 3.1 schema generator and validator for Hono, itty-router and more!
Runtime agnostic JS utils
Internal set of utilities and types for Prisma's driver adapters.
LangChain.js adapters for Model Context Protocol (MCP)
Built-in agent adapters for agent-mux
A Javascript library for running ONNX models on browsers
AI-native surface specs and web runtime for adaptive ContractSpec surfaces
Vercel AI SDK adapter for assistant-ui
A JavaScript library for Retrieval-Augmented Generation (RAG) within the QVAC ecosystem. Build powerful, context-aware AI applications with seamless document ingestion, vector search, and LLM integration.
NDK - Nostr Development Kit. Includes AI Guardrails to catch common mistakes during development.
The tRPC server library
Cross-platform WebSocket Servers for Node.js, Deno, Bun and Cloudflare Workers
Type-safe TypeScript AI SDK for streaming chat, tool calling, agents, structured outputs, and multimodal generation.
Transport/proxy runtime seam for agent-mux launcher bridging
nlux is JavaScript and React library for building conversational AI interfaces, with support for OpenAI, Hugging Face, and more.
OCI NodeJS client for Generative Ai Agent Runtime Service
Cloud integration for assistant-ui
babel's modular runtime helpers
Runtime for Regenerator-compiled generator and async functions.
Schema-driven relayfile adapter generator and runtime
Sinatra-free core for running Opal-compiled Ruby on Cloudflare Workers: Rack handler, D1/KV/R2/AI/Queue/Durable Object adapters, multipart/streaming, and Opal corelib patches. Use with the `opal` gem and a Module Worker (`runtime/worker.mjs` in this gem).
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.
RLM.rb is a Ruby runtime spine for Recursive Language Models. It runs bounded, typed, auditable AI jobs over files, records, and application context. RLM.rb includes RubyLLM provider access, a dspy.rb signature adapter, the recursive prompt loop, file/context mounting, recursive sub-LM calls, typed final output, budget controls, trace events, and a best-effort trace_store hook.
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