36,299 multi-agent systems papers collected, 17,969 analyzed with coordination patterns, embeddings, and a 16-cluster taxonomy — the largest structured MAS corpus bridging 30 years of classical research with modern LLM agents
393 AI-generated research artifacts produced by Enoch with provenance metadata, evidence bundles, claim-ledger files, and public audit reports.
AUGMANITAI Wave 1 — 104 ISO-704 descriptive terms for human-AI interaction, part of the NEOMANITAI ontology for embodied & multi-agent AI: humans, robots, swarms, world models & cognitive legacy. By Andreas Ehstand (ORCID 0009-0006-3773-7796). CC BY 4.0.
A Claude-powered knowledge base for managing a research corpus. Drop source documents into the ingest folder and Claude processes them into a structured, cross-referenced markdown wiki, extracting text from native PDFs and web pages, and transcribing scanned docs through an offline-first OCR pipeline. All source content is retained in markdown
Andreas Ehstand — Independent AI researcher. Schema.org Person entity. Originator of NEOMANITAI, the shared ontology for embodied & multi-agent AI: humans, robots, swarms, world models & cognitive legacy. Author of the AUGMANITAI Compendium. ORCID 0009-0006-3773-7796.
AUGMANITAI Periodic Table — 100 human-AI interaction phenomena across 10 disciplines, part of the NEOMANITAI ontology for embodied & multi-agent AI: humans, robots, swarms, world models & cognitive legacy. ISO 704 descriptive terminology. CC BY 4.0.
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