SAGE
Evolving graph memory is powerful, but it must not become self-authorising memory.
Signal summary
SAGE is important because it treats memory as a graph that can improve through feedback. That is directionally right: useful systems need to learn which connections matter, which routes work, and which memory structures help future tasks. But the governance question is just as important as the capability question.
Why it matters
Self-evolving memory can become a strength or a liability. If feedback directly rewrites trusted memory, the system can drift without accountability. If feedback produces derived suggestions that are reviewed, traced, and promoted through gates, the same mechanism becomes safer and more useful.
LGI reading
HKE's stance is: let graphs evolve below the membrane, but keep canonical authority governed. SAGE helps explain why graph feedback matters. HKE explains where the boundary should be.
Use this if you are thinking about
graph memory, adaptive retrieval, long-horizon agents, feedback loops, provenance, and the difference between useful learning and ungoverned drift.
Related LGI concept
Derived Graph Layers
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