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Aionis currently ships as a local-first Lite Runtime for developer machines and self-managed deployments.
ProductsAdmission Dataset Export

Admission Dataset Export

Every guide/context decision can become a training and audit row.

Admission Dataset Export is the product path for a future learned admission policy: a model or policy layer that predicts whether memory is useful, risky, or irrelevant in a specific Agent state.

What Gets Exported

FieldMeaning
candidate memoryThe memory considered by a guide or firewall pass.
admission actionuse_now, inspect_before_use, do_not_use, or rehydrate.
reasonThe Runtime explanation for that action.
prompt inclusionWhether any part of the memory reached Agent context.
host useWhether the Agent actually used it.
outcomeWhether the run succeeded, failed, or remained inconclusive.
feedback attributionThe link between memory exposure and outcome evidence.

Why It Matters

Most memory systems know what they stored and what they retrieved. Aionis can also know what was admitted, what was blocked, whether the Agent used it, and what happened afterward.

That creates a better data asset:

candidate -> admission decision -> prompt exposure -> host use -> outcome

SDK

import { memoryAdmissionDatasetJsonlFromGuide, } from "@aionis/sdk"; const jsonl = memoryAdmissionDatasetJsonlFromGuide(guide); await fs.promises.writeFile("admission-dataset.jsonl", jsonl);

What Not To Export

Do not export full prompt payloads unless you have a clear privacy and retention policy. The default export path should prefer decision records, IDs, reasons, and bounded context summaries.

Guide: AIONIS_ADMISSION_DATASET_EXPORT_QUICKSTART.md .