IBM research: how much memory does your agent actually need?
How Much Memory Does Your Agent Actually Need?
What happened
The IBM research team has published follow-up work on ALTK-Evolve, evaluating eight models on 585 multi-step tasks in AppWorld. It finds that agent memory is not an on/off switch but a dosage that needs to be calibrated for each model.
Why it matters
A comparison across eight models shows that the right amount of agent memory varies with model capability and offers two transferable ways to control costs: retrieval and prompt caching.
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