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Living Memory then Proactive Execution: a five-field review #1

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@chengyixu

Living Memory keeps a decision usable only when its source, observed time, scope, proposed action, and review state are visible. Proactive Execution can then prepare a bounded next step without treating memory as permission. This repository's schema makes that boundary inspectable: record where the item came from; record when it was last observed and when it needs review; name the person, project, or task scope; describe only the proposed next step; and make the human-return decision explicit. If a source changes, the review time expires, the scope broadens, or the next step would create a new commitment, return to a person before acting. That makes review useful output rather than a silent failure. I work on Klik (pre-launch), an app-first proactive-AI direction built around deliberate Sessions, persistent Context, and permission-aware follow-through. New access, material judgment, and external commitments stay with people. https://pre.hiklik.ai/?utm_source=github&utm_medium=issue&utm_campaign=kickstarter_prelaunch&utm_content=context_freshness_ledger_five_fields_20260902

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