I think It needs to be as diverse as people .. If agents are to become our constant "muse" like companions, I want the wiring of the brain of mine to be as wired as possible.. Why not juggling chain saws in orbit.. https://www.youtube.com/watch?v=JcJSW7Rprio&t=17s
On the general premise, I agree. But I don't think that moment is today, not yet anyway. I don't think we understand the right way to approach context and memory yet or how long they should last for, never mind standardizing on an abstraction prematurely that ends up being like SOAP or SGML.
The need for a unified format or spec is greatly reduced in the case of Agent memory because by definition it is read by agents, and agents are already instructed / programmed to read memory files of different formats. Even if such instructions did not exist, agents are extremely good at traversing files to get the necessary context it needs.
This is true and it probably is actually fine, but in a way you don't want it to be wasting its reasoning abilities and context window on figuring out which text files to read.
It would be like trying to accomplish something as a human but all your reference material is always in a different format, it would be maddening.
Not trying to be disingenuous but what's wrong with just a normal filesystem?
The best version of memory I've experienced is when I give my agent a memory directory and just let it do what it wants in there, with minimal rules on my end.
at this point i'm pretty convinced agent memory is strictly harmful. it remembers the wrong things, and then turns them into an inane focus for each task. i disable it universally on every harness. if i want memory, i specifically instruct the agent to record findings into a file.
Same. Everybody builds one, and then eventually realizes it makes the model stupid and confused. The right solution is pretty much always developer documentation in the repo, in roughly the same shape you'd make developer docs for humans that you want to be able to get up to speed about your codebase really quickly.
This has the benefit of being something you can easily read over every now and then to make sure the model hasn't baked in some random comment you made about a specific circumstance a month ago and made a weird religion out of it.
It would be like trying to accomplish something as a human but all your reference material is always in a different format, it would be maddening.
The best version of memory I've experienced is when I give my agent a memory directory and just let it do what it wants in there, with minimal rules on my end.
This has the benefit of being something you can easily read over every now and then to make sure the model hasn't baked in some random comment you made about a specific circumstance a month ago and made a weird religion out of it.
Index it all. Embed it all. Give your agents the ability to query it all. Eval different configurations to figure out what works best for you.