A knowledge cycle for AI agents — one that grows with the people who shape it. Centered on the scarcity of human attention and judgment as agent capability grows; six phases keep behavior aligned with operator intent across sessions. ADRs, JSON schemas, and a dependency-free Python reference.
specifications adr harness human-in-the-loop ai-agents claude agent-framework ai-agent llm anthropic llm-agent agentic-ai agent-memory claude-code memory-architecture agent-rules agent-knowledge-cycle agent-alignment cognitive-economy signal-first
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Updated
May 29, 2026