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.
Laurent Yew
Founder
Why Registry Choice Matters
The registry you choose affects everything from agent quality to deployment complexity. Vendor-specific registries offer tight platform integration but lock you into an ecosystem. Community registries offer breadth but lack verification. And if you're publishing an agent, the registry determines your discoverability. This guide compares all 15 active AI agent registries across five dimensions: catalog size, protocol support, verification methodology, deployment model, and developer experience.
The 15 AI Agent Registries at a Glance
| Registry | Catalog Size | Protocols | Verification | Deployment Model |
|---|---|---|---|---|
| OpenAI GPT Store | ~25,000 agents | MCP | OpenAI review | OpenAI Cloud |
| Anthropic Registry | ~8,000 agents | MCP | Anthropic review | Anthropic Cloud |
| LangChain Hub | ~15,000 agents | MCP, A2A | Community | Self-hosted |
| AWS Bedrock | ~12,000 agents | MCP | AWS certification | AWS Cloud |
| Microsoft Copilot Store | ~10,000 agents | MCP | Microsoft review | Microsoft 365 |
| Hugging Face Spaces | ~9,000 agents | MCP | Community | HF Cloud / Self-hosted |
| Replicate Models | ~5,000 agents | MCP, A2A | Replicate review | Replicate Cloud |
| Vercel AI SDK | ~4,000 agents | MCP | Vercel review | Vercel Cloud |
| Pinecone Marketplace | ~3,500 agents | A2A | Pinecone review | Pinecone Cloud |
| Google AI Hub | ~6,000 agents | A2A, ACP | Google review | Google Cloud |
| CrewAI Hub | ~2,500 agents | A2A | Community | Self-hosted |
| AutoGen Studio | ~1,800 agents | A2A | Community | Self-hosted |
| LlamaIndex Hub | ~2,200 agents | MCP | Community | Self-hosted |
| Haystack Hub | ~1,500 agents | MCP | Community | Self-hosted |
| AgentResourceDB | 104,000+ agents | MCP, A2A, ACP | 12-factor trust score | Meta-registry |
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AgentResourceDB is a meta-registry — it doesn't host agents itself. Instead, it indexes all 14 underlying registries and adds a unified trust score, liveness monitoring, and protocol-aware search. Browse the full aggregated catalog on our registry page.
Deep Dive: The Top 5 Registries
OpenAI GPT Store
The GPT Store is the largest vendor-specific registry with approximately 25,000 agents. It supports MCP natively and enforces OpenAI's content policies. Agents are reviewed by OpenAI before publication, providing a baseline quality filter. The main limitation is lock-in: agents run on OpenAI infrastructure and use OpenAI models exclusively. Best for teams already invested in the OpenAI ecosystem.
Anthropic Registry
Anthropic's registry has about 8,000 agents and is notable for its strict verification process. Every agent undergoes safety review, and Anthropic publishes detailed capability assessments. MCP support is first-class since Anthropic created the protocol. The registry is smaller than OpenAI's but tends to have higher-quality, better-documented agents. Best for safety-critical applications like healthcare and legal.
LangChain Hub
LangChain Hub is the largest community-driven registry with 15,000+ agents. It supports both MCP and A2A, making it one of the most protocol-flexible platforms. The trade-off is verification: anyone can publish, and quality varies widely. LangChain Hub is best for developers who want flexibility and are willing to evaluate agents themselves — or who use AgentResourceDB's trust scores to filter.
AWS Bedrock
AWS Bedrock's agent catalog (12,000+) is enterprise-focused with MCP support and AWS certification for all listed agents. Deployment integrates seamlessly with AWS services — Lambda, S3, IAM, CloudWatch. The certification process is rigorous, making Bedrock agents some of the most reliable. Best for enterprises already on AWS who need SOC 2 compliance and infrastructure-level integration.
Microsoft Copilot Store
The Copilot Store has 10,000+ agents integrated into Microsoft 365. MCP support is native, and agents can access Word, Excel, Teams, and Outlook data. Microsoft's review process is thorough but slow — new agents can take weeks to be approved. Best for organizations deeply embedded in the Microsoft ecosystem.
Protocol Support: A Critical Differentiator
Protocol support determines how agents communicate with tools and other agents. MCP (Model Context Protocol) connects agents to external tools and data sources. A2A (Agent2Agent) enables agent-to-agent discovery and collaboration. ACP (Agent Communication Protocol) provides REST-native communication via OpenAPI.
| Protocol | Purpose | Registries Supporting It |
|---|---|---|
| MCP | Agent-to-tool connectivity | OpenAI, Anthropic, LangChain, AWS, Microsoft, HF, Replicate, Vercel, LlamaIndex, Haystack |
| A2A | Agent-to-agent collaboration | LangChain, Replicate, Pinecone, Google, CrewAI, AutoGen |
| ACP | REST-native agent communication | Google AI Hub |
If you need agents that work with external tools, MCP is essential. If you're building multi-agent systems, A2A support matters. Learn more about each protocol in our protocol explainers: MCP, A2A, and ACP.
Verification Methodologies Compared
Verification is where registries differ most. Vendor-specific registries (OpenAI, Anthropic, AWS, Microsoft) use internal review processes — thorough but opaque. Community registries (LangChain, HF, CrewAI) rely on community ratings, which are transparent but inconsistent. AgentResourceDB's 12-factor trust score is the only methodology that applies the same objective criteria across all registries.
- Vendor review: High quality but slow. You trust the vendor's standards.
- Community ratings: Fast but unreliable. Popular agents aren't necessarily good agents.
- 12-factor trust score: Objective, consistent, and comparable across registries. Evaluates uptime, security, documentation, adoption, compliance, and six more factors.
Which Registry Should You Use?
The answer depends on your role. If you're discovering agents, start with AgentResourceDB to search across all registries, then deploy from the source registry. If you're publishing an agent, list it on 2-3 registries that match your target audience. If you're an enterprise, prefer AWS Bedrock or Microsoft Copilot Store for compliance — but use AgentResourceDB to benchmark your shortlisted agents against alternatives.
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Don't pick one registry — use a meta-registry for discovery and comparison, then deploy from whatever source registry fits your infrastructure. AgentResourceDB's trust scores work across all platforms, so you're comparing apples to apples.
Ready to compare agents across all registries? Browse the full AgentResourceDB registry with 104,000+ agents, filtered by protocol, category, and trust score.
// Ready to explore?
Browse the full AgentResourceDB registry with 104,000+ AI agents across 15 registries.
Browse the Registry// Author
Laurent Yew
Founder
Laurent Yew is the founder of AgentResourceDB, where he leads the platform's vision of building a unified, trust-first discovery layer for the AI agent ecosystem. With over a decade of experience scaling AI and SaaS products, Laurent has dedicated his career to making complex developer infrastructure accessible, transparent, and reliable. He writes about agent registries, protocol interoperability, and the future of agent-to-agent collaboration, drawing from hands-on work building evaluation frameworks that help developers cut through the noise of 100,000+ agents. Through AgentResourceDB, he is committed to establishing the trust standards the industry needs as AI agents move from experimentation to production.
// Frequently Asked Questions
Which AI agent registry is the biggest?
OpenAI's GPT Store has approximately 25,000 agents, making it the largest vendor-specific registry. However, AgentResourceDB indexes over 104,000 agents across all 15 registries combined, making it the most comprehensive catalog for discovery.
Which AI agent registry supports the most protocols?
AgentResourceDB supports all three major protocols (MCP, A2A, ACP) in its search and filtering. Among source registries, LangChain Hub and Google AI Hub support the most protocols, with LangChain supporting MCP and A2A, and Google supporting A2A and ACP.
Is the OpenAI GPT Store or Anthropic Registry better?
OpenAI's GPT Store has more agents (25,000 vs 8,000) and faster publication. Anthropic's Registry has stricter verification and better documentation. Choose OpenAI for breadth and speed, Anthropic for safety-critical use cases. Use AgentResourceDB to compare specific agents across both registries.
Can I publish my AI agent to multiple registries?
Yes, and you should. Publishing to 2-3 registries increases discoverability. Common combinations are LangChain Hub + your cloud provider's registry (AWS Bedrock or Vercel AI SDK), or OpenAI GPT Store + Hugging Face Spaces. Make sure your agent is also indexed by AgentResourceDB for maximum visibility.
Are AI agent registries secure?
Security varies by registry. Vendor-specific registries (AWS Bedrock, Anthropic) have the strongest security controls including SOC 2 compliance. Community registries rely on community moderation. AgentResourceDB's trust score includes a security posture factor that evaluates each agent's security regardless of which registry hosts it.