safal207/Causal-Memory-Layer

CML (Causal Memory Layer) — a foundational memory layer for recording reasons, permissions, and responsibility behind actions, not just events or results. Enables systems in AI, fintech, security, and distributed computing to preserve meaning and causal accountability across time, independent of execution or transport.

GitHub repository with 5 stars and 5 forks.

Language: Python

Topics: accountability, agent-audit, ai-agents, ai-safety, audit, causal-ai, causality, distributed-systems, fintech, governance

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2026-06-15: 5 stars and 5 forks.

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