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An experiment in giving coding agents long-term memory

Show HN: An experiment in giving coding agents long-term memory

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Recently I wanted to take a couple steps closer to what people call AGI.A lot of friends tell me it’s impossible. At the end of the day these models are just gradient descent and probability machines — basically a very sophisticated Markov chain. Obviously I’m exaggerating lol, but you get the idea.Still, I wanted to see if better infrastructure around the model could push agents a little closer to being reliable individual coders instead of assistants with severe amnesia.After reading a bunch of papers on the topic, I started experimenting with persistent memory and guided learning for agents.The idea is simple:Every action an agent takes gets stored. When future agents work on the same rep

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Website: usegradient.devOriginally

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