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LuisCore launches agent discovery via JSON manifest and public corpus

By PulseAugur Editorial · [1 sources] ·

LuisCore has introduced a new approach to agent discovery, emphasizing machine-readable JSON manifests and a public corpus over traditional landing pages. The company's `for-agents.json` file serves as a bootstrap manifest, providing citations and ontology definitions, while the LLM Discovery Corpus, mirrored on Zenodo, ensures consistent model referencing. This citation-led strategy aims to establish a canonical origin for agents to discover infrastructure, with measurable proof of discovery through third-party agent citations. AI

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

RANK_REASON This is a product launch for a specific tool/framework, not a frontier model 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 JSON manifest and public corpus

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Tool
This is a product launch for a specific tool/framework, not a frontier model release or significant industry 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.
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product, infra
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High
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60 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 · 2026-07-28 · 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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