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Project NANDA: Building the Agentic Web

The future isn't just AI - it's trillions of AI agents collaborating across the open web securely

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Project NANDA

Project NANDA is building the foundational infrastructure for the Open Agentic Web - a system where trillions of AI agents can collaborate, communicate, and transact across organizational boundaries without bottlenecks or security vulnerabilities. NANDA addresses the core challenge: how can billions or even trillions of AI agents discover each other, verify capabilities, and coordinate tasks without creating bottlenecks or security vulnerabilities. The project develops both the technical infrastructure (index - interop links between all heterogenous agent registries, protocols, SDKs) and the governance frameworks needed for a responsible, Open Agentic Web.

NANDA provides the index, protocols, and tools needed to enable this decentralized, protocol-neutral ecosystem.

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Development Roadmap

Phase 1: Foundations of Agentic Web

Foundation/Onboarding/Index

  • Index Infrastructure: NANDA Index for agent discovery and identity
  • Cross-Platform Communication: Protocol bridges between A2A, MCP, HTTPS
  • Agent Onboarding: SDKs and tools for easy agent deployment
  • Interoperability: Standards for agents to work across different platforms

Phase 2: Agentic Commerce

Knowledge pricing, edge AI

  • Knowledge Pricing: Mechanisms for agents to value and exchange information
  • Edge AI Integration: Distributed intelligence at network edges
  • Economic Protocols: Payment and incentive systems for agent services
  • Resource Markets: Platforms for trading compute, data, and capabilities

Phase 3: Society of Agents

Large Population Models, co-learning, Agents across data silos

  • Large Population Models (LPMs): Collective intelligence from agent populations
  • Collaborative Learning: Agents learning together while preserving privacy
  • Cross-Silo Coordination: Agents working across organizational data boundaries
  • Distributed AI: Split learning and inference across agent networks

Goals

Short term goals

Research:

  • High-quality algorithmic research and perspective papers (see current research at NANDA Papers Repository)
  • Creating partnerships between companies, startups, and academics

Impact:

  • Awareness: Educating about the need for an open, neutral Internet of AI Agents
  • Responsible Governance: Promoting ethical use and governance frameworks for AI agents

Lab to market (Tech Transfer and Venture Enablement):

  • Reference Implementations: Open-source tools and community development
  • Ecosystem Building: Connecting startups, corporations, and investors for robust solutions

Long terms goals

Research

  • Academic Infrastructure: Establishing journals, conferences, and NSF programs for agentic web research
  • Algorithmic Advancement: Developing algorithms to enable the society of AI agents

Impact

  • Open Framework: Creating equitable systems for agentic commerce
  • Global Standards: Establishing protocols for responsible agent interaction

Lab to Market

  • Government Engagement: Stimulating public sector adoption and policy development
  • Corporate Unlocking: Enabling enterprises to safely deploy agent ecosystems

Research & Publications

Our research papers outline the architectural, strategic, and technical foundations:

Latest Research Papers

Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index, Verified AgentFacts and Adaptive Resolution - Details the design of a minimal, privacy-preserving registry architecture for agent discovery. Introduces the AgentFacts schema, TTL-based endpoint resolution, and cryptographic verification for agent capabilities. Offers concrete mechanisms for multi-endpoint routing, least-disclosure queries, and rapid revocation in decentralized agent ecosystems. arXiv

Upgrade or Switch – The Need for New Registry - Analyzes the limitations of DNS and web infrastructure for AI agent systems. Weighs incremental upgrades (e.g., DNS push, SVCB records) against purpose-built registries. Offers analogies like dial-up to broadband and outlines the technical deltas introduced by the agent paradigm. arXiv | Read Full Paper

NANDA Adaptive Resolver: Architecture for Dynamic Resolution of AI Agent Names - AdaptiveResolver is a dynamic microservice architecture designed to address the limitations of static endpoint resolution for AI agent communication in distributed, heterogeneous environments. arXiv

Using the NANDA Index Architecture in Practice: An Enterprise Perspective - Presents the NANDA framework for secure AI agent ecosystems and cross-protocol interoperability, and explores enterprise use cases. Introduces Zero Trust Agentic Access (ZTAA) and Agent Visibility & Control (AVC) for enterprise governance of autonomous agent collaboration. arXiv

Survey of AI Agent Registry Solutions - Compares leading registry architectures - MCP, A2A, Microsoft Entra Agent ID, and NANDA, across security, scalability, authentication, and maintainability. Highlights NANDA’s AgentFacts as a privacy-preserving, cryptographically verifiable schema purpose-built for dynamic, multi-agent systems. arXiv

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Our Belief

The web will evolve from static content to dynamic services to autonomous actors. AI models will not just generate content but carry out actions on our behalf. Registries and protocols must be open to prevent capture and enable global participation.

Join us in building the next layer of the web.


Community & Collaboration

Get Involved

Opportunities

  • Research: Contribute to papers and algorithmic development
  • Development: Fork SDKs, build integrations, propose improvements
  • Ecosystem: Connect startups, corporations, and academic institutions
  • Tresata Fellowship - Paid Roles Available
  • Radius Fellowship - Paid roles available

See It In Action

YouTube video player

Click to watch our latest demo


Partnership & Enterprise

Corporate Coalition: Multiple companies participating in development and standardization

Academic Network: Research partnerships

Open Source: All components distributed under MIT License

Government Engagement: Stimulating public sector adoption and policy development


Additional Resources

Project NANDA Resource Map

Official Sites

Home: projectnanda.org
Docs (GitHub Pages): projnanda.github.io/projnanda
July 2025 Summit Site: july2025.projectnanda.org

Articles & Blog Posts

“NANDA: The Internet of AI Agents” — Ramesh Raskar (LinkedIn)
https://www.linkedin.com/pulse/nanda-internet-ai-agents-ramesh-raskar-211ve
Review of NANDA — Ben Xiaojun Li (LinkedIn)
https://www.linkedin.com/pulse/review-mit-nanda-internet-ai-agents-ben-xiaojun-li-am7hc
Forbes: “Line Up and Identify Yourselves — AI Agents Get Organized with NANDA”
https://www.forbes.com/sites/johnwerner/2025/07/08/line-up-and-identify-yourselves-ai-agents-get-organized-with-nanda/
Forbes: “Make a Decentralized Internet with AI — NANDA Is Coming”
https://www.forbes.com/sites/johnwerner/2025/05/13/make-a-decentralized-internet-with-ai-nanda-is-coming/
Vana: MIT Decentralized AI Summit Recap
https://www.vana.org/posts/mit-decentralized-ai-summit

Videos & Media

Intro to NANDA (YouTube) — “Network of AI Agents & Decentralized Internet”
https://www.youtube.com/watch?v=jlcO19XyQ1I
Project NANDA Overview Talk (YouTube)
https://www.youtube.com/watch?v=vCeiA0T8kTM
Decentralized AI Summit Panel (YouTube)
https://www.youtube.com/watch?v=oDRyxMUum4A

Community & Social

Events & Registrations


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Building the Agentic Web

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