A protocol for recording and preserving decision memory: context, intent, acknowledged risk, reversibility, and outcomes over time.
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Updated
May 27, 2026 - Python
A protocol for recording and preserving decision memory: context, intent, acknowledged risk, reversibility, and outcomes over time.
This repository offers operational and application design frameworks addressing the specific challenges of public sector using AWS Well-Architected-Tool.
A consent-first framework for human–ASI collaboration: versioned, cryptographically signed, and written from lived experience of identity continuity.
Supplementary materials for Reversibility as a Safety Gate for Agentic Actions
Archival mirror of the PHRONESIS Corpus Definition (v1.0), a non-binding, non-authoritative philosophical framework on restraint in the age of advanced AI.
The undo layer for AI agents — classifies each agent action reversible / compensable / irreversible, plans the restitution, and escalates only what truly can't be undone. Measured as an eval.
Essays on agentic AI security, decision-rights, reversibility-graded authority, manifest-declared action class, deterministic gates, and standards contribution method.
Reference implementation of OWASP AISVS C9.2.6 and C9.2.7: manifest-declared action class, deterministic gate, worst-case chain rule. JSON schema + Python.
Analysis scripts underlying the assessment of acidification hysteresis in the Arctic Ocean
MCP server for reversibility intelligence — check if actions can be undone
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