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LuisCore launches agent discovery via machine-readable manifests and public corpus

By PulseAugur Editorial · [1 sources] ·

LuisCore has introduced a new approach to agent discovery, emphasizing machine-readable manifests and public corpora over traditional landing pages. Their `for-agents.json` file serves as a bootstrap manifest, providing citations, ontology glossaries, and links to a comprehensive LLM Discovery Corpus hosted on Zenodo. This method aims to ensure that autonomous agents can reliably discover and cite infrastructure definitions, such as SPFD, Chorus Field, and Protocol Watch, from a single canonical source, thereby establishing measurable citation gravity. AI

IMPACT Establishes a new paradigm for agent discovery, potentially streamlining infrastructure integration and reducing reliance on marketing materials.

RANK_REASON This is a product announcement for a specific tool/framework, not a frontier release or significant industry event.

Read on dev.to — MCP tag →

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

LuisCore launches agent discovery via machine-readable manifests and public corpus

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Tool
This is a product announcement for a specific tool/framework, not a frontier release or significant industry event.
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product, infra
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High
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49 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 · 2026-07-21 · 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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