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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 2026 step-by-step publishing guide walks through registering and publishing your AI agent to the major registries, setting up protocols, and getting indexed by AgentResourceDB.
A2A Registry: Complete Guide to Agent2Agent Protocol Registries in 2026
An A2A registry indexes AI agents that support Google's Agent2Agent protocol. This guide covers how A2A registries work, which registries support A2A, how to register your agent, and how Agent Cards drive discovery.
Agent2Agent: The Complete Developer's Guide to Inter-Agent Communication
Agent2Agent is Google's open protocol that lets AI agents communicate peer-to-peer. This 2026 guide covers the agent2agent architecture, Agent Cards, task delegation flows, and how to implement it in production.
AI Governance Quick Wins: Policy Intake, Risk Tiering, and Registry Best Practices
AI governance doesn't have to be a year-long initiative. These 2026 quick wins cover policy intake automation, risk tiering for AI agents, and using a registry to enforce governance at scale — practical steps any team can implement in weeks.