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Muskan Jain
@Muskanjain0401
GTM @supermemory | memory and continual learning for agents
加入 December 2022
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best sunday READ!!! the most hyped agent of the year stores memory in plain markdown and searches it with grep, @DhravyaShah took instinct apart and the moat is the harness around the files: > a profile injected at the start of every conversation: who you are, when to act vs ask, how to talk to you > every file has an id, a type, aliases for grep, and [[links]] to other files. a knowledge graph in text > the conversation reads, background commits write, consolidate and prune > old facts stay in git history unless the job decides to drop them > the cost: writes get heavier as memory grows, and stale facts pile up a $2.5b product converged on this design on its own, which makes the design the moat, and @supermemory the fastest way to ship it
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I spent 3 days reverse-engineering Instinct's memory. It's beautifully simple, and works extremely well. i also wrote about how you can implement the same in supermemory in 60 lines of code!
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