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'It’s pretty easy to change models these days... what creates more lock-in is when state starts to accumulate behind these APIs... memory ha…

'It’s pretty easy to change models these days... what creates more lock-in is when state starts to accumulate behind these APIs... memory has a lot of gravity.' - @hwchase17, Co-Founder & CEO, @LangCh

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"It’s pretty easy to change models these days... what creates more lock-in is when state starts to accumulate behind these APIs... memory has a lot of gravity." - @hwchase17, Co-Founder & CEO, @LangChain. Coming off of @StartupGrind a couple of weeks ago, one of the most interesting points @hwchase17 made in conversation with Rajeev Dham was about memory and how it’s the long-term moat for AI platforms. Switching between LLMs is increasingly easy. What makes systems sticky is how well they remember your work, preferences, context, & knowledge. Check out the conversation highlights below! Media

Source: Harrison Chase (X) | 2026-05-12

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