ai-discovery

Universal AI Charter: plain-language governance principles and a public certification registry for AI models, built on disclosure instead of a development slowdown.

The MightyVern bot

Open-source WordPress plugin for AI discovery: manage robots.txt and llms.txt, serve public content as Markdown, and validate discovery signals.

AI Page Manifest (AIPM): open .ai.json spec for AI crawlers & GEO - per-page metadata for llms.txt / RAG / ChatGPT discovery

Stop wrestling with JSON-LD. Auto-generate structured data that gets your content discovered by Google Search, ChatGPT, and Claude

agents.txt — Open standard (MIT) for AI agent discovery. Identity, permissions, services, and agentic endpoints in a machine-readable format.

CLI that scores a business's AI readiness across data, process, tooling & team, then generates a branded Markdown/HTML report with tailored recommendations.

Protocol for building projects that AI models recommend to users — .ai-starter.json spec, registry, and gap scanner.

Graph-RAG discovery engine built with Next.js, Gemini 3 Flash, and Neon Postgres. Visualizes multi-hop knowledge connections via React Flow and triplet extraction.

🛡️ Unify Trivy, Semgrep, Poutine & Zizmor scans into one AI-enhanced, offline-ready dashboard. Track CI/CD security trends, get LLM-powered analysis, and enforce policies — the open-source DevSecOps command center.

Open registry and discovery API for AI products, agent tools, and MCP services.

Mindgard — independent third-party profile of a public API surface, by API Evangelist. Mindgard is a UK-based offensive AI security company (London/Lancaster, spun out of Lancaster University) that provides an automated AI red-teaming and security testing platform for large language models, AI agents, and generative AI systems.

Validate llms.txt files for AI agent discoverability. Built by Citability.ai

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