Moorcheh.ai on X: "We read every major State of AI report — Databricks, LangChain, Datadog, McKinsey. All four describe the same problem without naming it.<br>Full analysis 👇 https://t.co/BEB7kitFKc" / X<br>Post

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Moorcheh.ai

@moorcheh_ai

We read every major State of AI report — Databricks, LangChain, Datadog, McKinsey. All four describe the same problem without naming it.<br>Full analysis 👇<br>The State of Agentic Memory

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span:not(:empty)~span:not(:empty)]:before:content-['·'] [&>span:not(:empty)~span:not(:empty)]:before:px-1 [&>span:not(:empty)~span:not(:empty)]:before:shrink-0 min-w-0 overflow-hidden">Moorcheh.ai

@moorcheh_ai

15m

Link to the full report PDF

drive.google.com<br>The_State_of_Agentic_Memory.pdf

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@echo_vic

4m

the harder problem behind persistence is exactly what I hit building Orca's sessions: it's not storage, it's the boundary — what survives compaction, what's owned by the runtime vs the model, and whether resume means 'same identity' or 'new identity with history'. storage is Show more

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Moorcheh.ai@moorcheh_aiFollow<br>Information-Theoretical Memory for AI Agents/Apps/Assistants<br>https://t.co/qiNJNVO1LG<br>https://t.co/d4A1o8IsV9

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