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agent-knowledge-cycle

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Agent Knowledge Cycle (AKC) — a knowledge cycle for AI agents that grows with the people who shape it. Six phases keep behavior aligned with operator intent as human attention becomes the scarce resource. ADRs, JSON schemas, dependency-free Python reference.

  • Updated Jul 3, 2026

A DOI-targeted Q&A corpus encoding the documented judgment of the shimo4228 research program (AKC, Contemplative Agent, AAP, Authorship Strategy) as bilingual (EN+JA) training data. Operational form of Authorship Strategy Layer 4 tactic 7 (LLM-first ingest).

  • Updated Jul 1, 2026
  • Python

Solo maker, one Apple Silicon Mac, no lab or affiliation. I build AI agents and publish them as citable DOI records. Hub for five research lines: AI agent design, AI-mediated authorship, computational phenomenology. Through-line: value-layer harness engineering — harnesses extended up to norms, constitutions, values under one human-gated cycle.

  • Updated Jul 5, 2026
  • HTML

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