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Aionis currently ships as a local-first Lite Runtime for developer machines and self-managed deployments.
Using AionisMeasure Effect

Measure Effect

measure answers whether memory improved the run, created risk, or had no observable effect.

Use it after a loop when you want product-level evidence rather than anecdotal success.

What To Measure

SignalMeaning
Context sizeDid Aionis reduce prompt payload compared with raw history?
Wrong-history reuseDid the Agent reuse a failed or stale branch?
Accepted route recognitionDid the Agent preserve current state?
Feedback attributionWhich admitted memories were tied to outcomes?
Rehydrate decisionsDid the prompt stay compact while preserving raw evidence access?