// Blog
AI Agent Registry Guides
In-depth guides on agent discovery, protocol comparison, trust evaluation, and publishing. Everything you need to navigate the 104,000+ agent ecosystem.
What Is an AI Agent Registry? A Complete Guide for Developers
AI agent registries solve the discovery problem — helping developers find, evaluate, and trust AI agents across a fragmented ecosystem of 15+ platforms and 100,000+ agents.
The 15 AI Agent Registries Compared: OpenAI, Anthropic, LangChain & More
Not all AI agent registries are built the same. We compare all 15 platforms by catalog size, protocol support, verification standards, and developer experience to help you pick the right one.
How to Evaluate AI Agents: Trust Scores, Uptime & Protocol Support Explained
With 104,000+ agents to choose from, evaluation is the hardest part. Our 12-factor trust score methodology gives developers an objective framework for comparing agents across any registry.
MCP vs A2A vs ACP: Which Protocol Should Your AI Agent Support?
MCP, A2A, and ACP are the three protocols shaping agent interoperability in 2026. We break down what each does, when to use them, and which ones your agent actually needs.
How to Register and Publish an AI Agent: A Step-by-Step Guide
Building an AI agent is half the battle — getting it discovered is the other half. This guide walks through publishing to the major registries, setting up protocols, and getting indexed by AgentResourceDB.