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  "text": "Had a great time on the ML in Production panel at @pyabordsf earlier today with @jxnlco and @AntonisK, hosted by @BEBischof.\n\nData is the bottleneck for AI agents. Agent memory needs to be multi-faceted - relational, graph, temporal, vector - and by optimising that data layer and the tools that call into it, you optimise token use too.\n\nYou wouldn't employ someone who used the wrong tools and tried multiple times before succeeding at a task. Same goes for AI agents.\n\nThanks @pydantic for putting it all together!",
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