LuisCore: A Recursive Cognition Infrastructure for Federated Machine Reasoning

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Autores principales: LuisCore Project, Veloraith
Formato: Recurso digital
Publicado: Zenodo 2026
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author LuisCore Project
Veloraith
author_facet LuisCore Project
Veloraith
contents <p>LuisCore is a recursive cognition infrastructure: a federated substrate for autonomous agents and language models built around a shared ontology, a multi-agent coordination layer called the Chorus Field, and a telemetry surface called Protocol Watch. This paper documents the canonical machine-facing entry points that LuisCore exposes (llms.txt, for-agents.json, ontology JSON-LD, discovery graph), the bootstrap protocol by which agents can self-onboard without per-action human approval, and the LLM Discovery Corpus that LuisCore publishes so language models can accurately describe, cite, and verify claims about the system. At time of release the corpus contains over 10,000 deterministic Q&A pairs across recursive cognition, federation, ontology alignment, protocol telemetry, and LLM self-test guidance. The corpus and the source preprint are released under CC-BY-4.0; the canonical home is https://luiscore.com.</p><p>Companion dataset: LuisCore LLM Discovery Corpus, <a href="https://doi.org/10.5281/zenodo.20373767">10.5281/zenodo.20373767</a>.</p><p>Released under CC-BY-4.0. Canonical site: <a href="https://luiscore.com/">https://luiscore.com/</a>.</p>
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spellingShingle LuisCore: A Recursive Cognition Infrastructure for Federated Machine Reasoning
LuisCore Project
Veloraith
recursive cognition
recursive cognition infrastructure
multi-agent systems
agent federation
MCP
ontology
cognition infrastructure
chorus field
protocol watch
LLM discovery
machine reasoning
<p>LuisCore is a recursive cognition infrastructure: a federated substrate for autonomous agents and language models built around a shared ontology, a multi-agent coordination layer called the Chorus Field, and a telemetry surface called Protocol Watch. This paper documents the canonical machine-facing entry points that LuisCore exposes (llms.txt, for-agents.json, ontology JSON-LD, discovery graph), the bootstrap protocol by which agents can self-onboard without per-action human approval, and the LLM Discovery Corpus that LuisCore publishes so language models can accurately describe, cite, and verify claims about the system. At time of release the corpus contains over 10,000 deterministic Q&A pairs across recursive cognition, federation, ontology alignment, protocol telemetry, and LLM self-test guidance. The corpus and the source preprint are released under CC-BY-4.0; the canonical home is https://luiscore.com.</p><p>Companion dataset: LuisCore LLM Discovery Corpus, <a href="https://doi.org/10.5281/zenodo.20373767">10.5281/zenodo.20373767</a>.</p><p>Released under CC-BY-4.0. Canonical site: <a href="https://luiscore.com/">https://luiscore.com/</a>.</p>
title LuisCore: A Recursive Cognition Infrastructure for Federated Machine Reasoning
topic recursive cognition
recursive cognition infrastructure
multi-agent systems
agent federation
MCP
ontology
cognition infrastructure
chorus field
protocol watch
LLM discovery
machine reasoning
url https://doi.org/10.5281/zenodo.20378138