Source record

Published by Hugging Face Blog (T1.5 source). The original is at https://huggingface.co/blog/ibm-research/altk-evolve-hmm.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

IBM Research evaluated agentic memory across eight models, finding that more injected memory does not reliably improve agent performance. Their ALTK-Evolve method distills past trajectories into reusable guidelines injected at inference time, requiring no weight updates or human annotation.

Firsthand multi-model evaluation that pushes back on the assumption that more agent memory is always better, and introduces a concrete calibration approach.

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