Evolution of AI Agent Registry Solutions: Centralized, Enterprise, and Distributed Approaches
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arXiv
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| Auteurs principaux: | , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909858292301824 |
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| author | Singh, Aditi Ehtesham, Abul Lambe, Mahesh Grogan, Jared James Singh, Abhishek Kumar, Saket Muscariello, Luca Pandey, Vijoy Marc, Guillaume Sauvage De Saint Chari, Pradyumna Raskar, Ramesh |
| author_facet | Singh, Aditi Ehtesham, Abul Lambe, Mahesh Grogan, Jared James Singh, Abhishek Kumar, Saket Muscariello, Luca Pandey, Vijoy Marc, Guillaume Sauvage De Saint Chari, Pradyumna Raskar, Ramesh |
| contents | Autonomous AI agents now operate across cloud, enterprise, and decentralized domains, creating demand for registry infrastructures that enable trustworthy discovery, capability negotiation, and identity assurance. We analyze five prominent approaches: (1) MCP Registry (centralized publication of mcp.json descriptors), (2) A2A Agent Cards (decentralized self-describing JSON capability manifests), (3) AGNTCY Agent Directory Service (IPFS Kademlia DHT content routing extended for semantic taxonomy-based content discovery, OCI artifact storage, and Sigstore-backed integrity), (4) Microsoft Entra Agent ID (enterprise SaaS directory with policy and zero-trust integration), and (5) NANDA Index AgentFacts (cryptographically verifiable, privacy-preserving fact model with credentialed assertions). Using four evaluation dimensions: security, authentication, scalability, and maintainability, we surface architectural trade-offs between centralized control, enterprise governance, and distributed resilience. We conclude with design recommendations for an emerging Internet of AI Agents requiring verifiable identity, adaptive discovery flows, and interoperable capability semantics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_03095 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Evolution of AI Agent Registry Solutions: Centralized, Enterprise, and Distributed Approaches Singh, Aditi Ehtesham, Abul Lambe, Mahesh Grogan, Jared James Singh, Abhishek Kumar, Saket Muscariello, Luca Pandey, Vijoy Marc, Guillaume Sauvage De Saint Chari, Pradyumna Raskar, Ramesh Networking and Internet Architecture Artificial Intelligence Multiagent Systems Autonomous AI agents now operate across cloud, enterprise, and decentralized domains, creating demand for registry infrastructures that enable trustworthy discovery, capability negotiation, and identity assurance. We analyze five prominent approaches: (1) MCP Registry (centralized publication of mcp.json descriptors), (2) A2A Agent Cards (decentralized self-describing JSON capability manifests), (3) AGNTCY Agent Directory Service (IPFS Kademlia DHT content routing extended for semantic taxonomy-based content discovery, OCI artifact storage, and Sigstore-backed integrity), (4) Microsoft Entra Agent ID (enterprise SaaS directory with policy and zero-trust integration), and (5) NANDA Index AgentFacts (cryptographically verifiable, privacy-preserving fact model with credentialed assertions). Using four evaluation dimensions: security, authentication, scalability, and maintainability, we surface architectural trade-offs between centralized control, enterprise governance, and distributed resilience. We conclude with design recommendations for an emerging Internet of AI Agents requiring verifiable identity, adaptive discovery flows, and interoperable capability semantics. |
| title | Evolution of AI Agent Registry Solutions: Centralized, Enterprise, and Distributed Approaches |
| topic | Networking and Internet Architecture Artificial Intelligence Multiagent Systems |
| url | https://arxiv.org/abs/2508.03095 |