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Introducing MemCurrent, a persistent memory architecture designed to help production agents stop starting from zero. MemCurrent combines episodic memory with derived memory across three access patterns: • Plugins to log and load context automatically • Tools the agent calls on demand • An offline “dreaming” pipeline that consolidates memory...

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Databricks

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41,579 просмотров • 5 дней назад •via X (Twitter)

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Комментарии: 13

Фото профиля Dai Macedo
Dai Macedo4 дней назад

Can you trace a derived memory back to the original runs? When an agent learns the wrong lesson, I'd want to see where it came from.

Фото профиля Memoket
Memoket4 дней назад

Two identical requests could produce different results later, even with the same model and prompt, because the agent's memory has changed. That makes memory state another thing developers need to track when debugging unexpected behavior.

Фото профиля Kala
Kala4 дней назад

please let it dream about something nicer than metric definitions

Фото профиля Yician Wang
Yician Wang4 дней назад

@bot 和我的 Agent Memory 有什麼差別？

Фото профиля Maya
Maya4 дней назад

The underrated part is remembering why a correction happened. "Use this metric" is useful. "Use it because the old one double-counted refunds" lets the next agent avoid the same mistake with a different formula.

Фото профиля CoinWager
CoinWager4 дней назад

@databricks multi-profile persistent memory is the unlock. most agents reset every session which makes them useless for real work

Фото профиля Harrison
Harrison4 дней назад

did the episodic-only ablation get a session index at startup too? curious how much of the derived-memory gain is better distillation versus making the history discoverable.

Фото профиля Aapakari
Aapakari5 дней назад

Tripling pass rate sounds big until you see the 22.3% no-memory floor.

Фото профиля Jack
Jack4 дней назад

an offline dreaming pipeline, cute name for homework

Фото профиля Cmorris
Cmorris4 дней назад

Honest question: when the background cleanup replaces a fact, can you see what it used to say?

Фото профиля Alessandro Moretti
Alessandro Moretti5 дней назад

So the agents dream at night now. They sleep better than most founders.

Фото профиля Driven Dynamics
Driven Dynamics5 дней назад

Carrying forward corrections and business context is a big step for enterprise agents. One interesting challenge is separating what an agent learned previously from what's operationally true right now. A rule, approval, or exception might have changed in the underlying system. Persistent memory becomes even more valuable when it knows what needs to be revalidated before acting.

Фото профиля MASA
MASA5 дней назад

How does the dreaming pipeline handle outdated or conflicting corrections?

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