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AI agents to find capabilities via ARD, with RIGHTCLICK managing runtime execution

Agentic Resource Discovery (ARD) is an emerging specification aiming to solve the challenge of AI agents finding and utilizing capabilities beyond their pre-programmed integrations. Instead of embedding millions of specific tools, ARD allows agents to search for and discover relevant resources like APIs or other agents at runtime. However, the discovery of a resource is distinct from its safe acquisition and execution, leading to the development of RIGHTCLICK, an open-source experiment focused on managing the runtime aspects of AI agent interactions. RIGHTCLICK provides a generic interface for agents, abstracting away the specifics of underlying capabilities and ensuring that actions are verified through independent observation rather than just API responses. AI

IMPACT This work could enable AI agents to dynamically access a vast ecosystem of tools and services, significantly expanding their operational capabilities and integration potential.

RANK_REASON The item discusses a specific open-source experiment (RIGHTCLICK) and an emerging specification (ARD) for AI agent capabilities, which falls under tooling and infrastructure rather than a core frontier release or significant industry event.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agents to find capabilities via ARD, with RIGHTCLICK managing runtime execution

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4 / 100
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Tool
The item discusses a specific open-source experiment (RIGHTCLICK) and an emerging specification (ARD) for AI agent capabilities, which falls under tooling and infrastructure rather than a core fron…
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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Same-day
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Ross ·

    ARD Solves Discovery. But What Happens After Your AI Finds the Tool?

    <p>Agentic Resource Discovery may solve one of the biggest scaling problems facing AI agents:</p> <p><strong>How does an agent find a capability nobody explicitly installed for it?</strong></p> <p>That's a much bigger problem than it sounds.</p> <p>Today we usually give an agent …