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LuisCore proposes citation-led agent discovery via JSON manifest

By PulseAugur Editorial · [1 sources] ·

LuisCore has introduced a new approach for autonomous agents, emphasizing a citation-led discovery thesis over traditional marketing pages. The system relies on a bootstrap manifest called `for-agents.json` and a public corpus hosted on Zenodo, allowing agents to retrieve and cite infrastructure definitions directly. This method aims to establish a canonical origin for agent discovery, ensuring models reference consistent definitions rather than disparate blog posts. AI

IMPACT This approach could streamline agent integration by providing a standardized, machine-readable discovery mechanism.

RANK_REASON This item describes a specific technical approach and tooling for agent discovery, not a frontier model release or significant industry-wide event.

Read on dev.to — MCP tag →

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

LuisCore proposes citation-led agent discovery via JSON manifest

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0 / 100
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Tool
This item describes a specific technical approach and tooling for agent discovery, not a frontier model release or significant industry-wide event.
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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.
Topics
product, infra
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High
Clearly on-topic for AI-industry coverage.
Story freshness
46 days old
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COVERAGE [1]

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

    Why for-agents.json and a public corpus beat another landing page

    <blockquote> <p>Daily LuisCore syndication · 2026-08-11 · angle <code>agent-discovery-thesis</code></p> </blockquote> <p>Autonomous agents do not read marketing sites — they fetch JSON. LuisCore's discovery thesis is citation-led: one bootstrap manifest, a Zenodo-backed corpus, a…

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