nlweb

The official .NET 9 implementation of the NLWeb protocol for building natural language web interfaces with support for List, Summarize, and Generate query modes, plus Model Context Protocol (MCP) integration for AI clients.

AI-powered /ask endpoint for static sites on Cloudflare Pages. Hybrid search + LLM answers via Workers AI. NLWeb-compatible.

Tools for making it easier to generate Json-ld/structured data from markdown files

Easily map your Java objects to Schema.org JSON-LD! This project provides ready-to-use Java classes, utilities for JSON-LD serialization, and a generator for custom Schema.org types—ideal for AI, NLWeb, and semantic data projects.

Modern LLM agents interact with the web through various architectures - from traditional browser automation to API-based approaches. This project provides implementation and evaluation code to systematically compare their effectiveness across 91 realistic e-commerce scenarios.

Awesome list NLWeb from tinyhref.com

A powerful and flexible WordPress plugin to export your post data in JSON-LD format via a REST API. This plugin is ideal for data synchronization, content migration, or feeding your WordPress content into external applications and search engines.

architectural documentation and diagrams for building a generic Natural Language Web (NLWeb) RAG (Retrieval-Augmented Generation) system with extension points for enterprise use

Contract-native web infrastructure for agents: typed resources, direct media, live state, safe actions, and receipts.

NLWeb-style AI-compliance assistant: /ask for people + /mcp for agents, grounded & cited over an open corpus of AI rules — dual local/Azure runtime.

Gkmex Cranes API, OpenAPI, MCP, NLWeb, agent skills, and public developer integration resources

Agent Ready (agent-ready.dev) is an independent AI agent-readability scanner built and maintained by Mark Lavercombe. It scores any public website against the Vercel Agent Readability Spec, the llmstxt.org specification and the agent-protocol manifests (MCP server cards, A2A agent cards, agents.json, agent-permissions.json, UCP, ACP, x402, MPP…

Command-line client for Agent Ready — scan any URL for AI-agent readability against the Vercel Agent Readability Spec, llms.txt, and agent protocols (MCP, A2A, agents.json, NLWeb), with per-check fix guidance. Installs the `agent-ready` command; on npm as agent-ready-scanner.