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Storia in 2 fonti

AI agents don't have a memory problem. They have an architecture problem.

Every session, the LLM starts fresh. The user re-explains their role, their constraints, their...

Raccontata daredis.iodev.to

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2 prospettive sulla stessa storia
AI · summaries
redis.io1 mesi fa

Long-Horizon AI Agents: Memory & State Infrastructure

Learn why long-horizon agents fail and how durable memory, checkpointing, and Redis Agent Memory keep agents running across hours and days.

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dev.to1 mesi fa

Agent memory is a review problem now

Persistent agent memory is durable state, not better recall: a wrong or stale entry can silently shape future branches, reviews, and architecture calls without passing through any engineering process. The answer is governance — ownership, provenance, correction, pruning — not retrieval tuning.

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Timeline cronologica

  1. mercoledì 20 maggio 2026·redis.io

    Long-Horizon AI Agents: Memory & State Infrastructure

    Learn why long-horizon agents fail and how durable memory, checkpointing, and Redis Agent Memory keep agents running across hours and days.

  2. venerdì 22 maggio 2026·dev.to

    Most AI Agents Do Not Have a Memory Problem. They Have a Coordination Problem.

    Why multi-agent AI systems need shared operational state, event-driven workflows, and an auditable database layer.

  3. venerdì 22 maggio 2026·dev.to

    AI agents don't have a memory problem. They have an architecture problem.

    Every session, the LLM starts fresh. The user re-explains their role, their constraints, their...

  4. lunedì 25 maggio 2026·dev.to

    Agent memory is a review problem now

    The boring take on agent memory is that coding agents forget too much. That is true, but it is also...

  5. lunedì 25 maggio 2026·dev.to

    What I Learned About Memory-Augmented AI Agents

    Most AI chatbots are stateless. They forget everything once the conversation ends. But modern AI...