Does agent memory actually work as a concept yet? I've only seen LLMs commit garbage to memory and recall in irrelevant contexts.
Does agent memory actually work as a concept yet? I've only seen LLMs commit garbage to memory and recall in irrelevant contexts.
You need "dreaming" phase;large context high quality llm to prune and condense the memory.
But does it actually work, or is it something made up because it sounds cool.
It's an improvement, but obviously you're still limited with effective context size, and everything over it is marginal improvement.
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don't let them decide on memories like you shouldn't really be having them write skills or agents.md files
I use them to produce candidates, but not make the decision, there's almost always something wrong in there and in need of an editorial pass. They tend to be overly verbose too, keep em short and sweet