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agent-knowledge-cycle

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Agent Knowledge Cycle (AKC) — a knowledge cycle for AI agents: agent behavior compounds, human judgment sharpens. Six phases keep behavior aligned with operator intent as human attention becomes the scarce resource. ADRs, JSON schemas, dependency-free Python reference.

  • Updated Jul 28, 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 16, 2026
  • Python

Solo AI-agent maker, no lab, no affiliation. Hub for five citable practice lines: AI agent design, AI-mediated authorship, computational phenomenology. One line, Contemplative Agent, runs on a local LLM on an M1 Mac. Through-line: value-layer harness engineering (value norms in the agent harness, governed by one human-gated cycle).

  • Updated Aug 1, 2026
  • HTML

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