I Tried to Teach AI Memory What Matters. 10 Experiments Later, Most Clever Ideas Lost

Automated excerpt

In July I wrote that agents need governed memory: memory with its own lifecycle that decays, gets promoted, consolidates and keeps provenance. Since then I have run ten experiments on public benchmarks and on my own real conversations, trying to make Aura Memory decide for itself what is worth keeping. It needs three things: to learn what matters only from real consequences, which come from people.

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