LinkARD Working GroupResource
As the ecosystem of AI agents and tooling expands rapidly, discovery becomes a major bottleneck. A standardised, decentralised discovery layer lets systems identify relevant services across corporate intranets and the open web without vendor lock-in.
By focusing solely on pre-invocation discovery rather than execution, ARD complements existing runtimes instead of competing with them. Its federated model reflects web search architecture: organisations can host private discovery instances tailored to their security and ranking criteria, while public directories can address broad discovery. The active backing from Microsoft, Google, and Hugging Face gives the initiative credible momentum towards widespread adoption.
Summary generated by AI (Gemini 3.8 Flash, 28 September 2026). It may contain errors – the original source is authoritative.
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