Implementation specifics aside, I increasingly think life and death cycles are preferable. The opposite of omnipotent context, I want cycles of clean slates so that baggage - of all kinds - does not weigh down the new.

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louis030195 4 hours ago | parent | next [-]

Interesting, I partly agree. It sounds like how the human brain works, but what nature learned is not necessarily what we should keep

We capture everything and gives you and option for a flexible data retention policy, so that you can prune mp4 files for example or verbose accessibility trees, while our agents generate high level memories referencing low level data

It still not perfect, but ideally Screenpipe would record forever so that you have infinite memory of every tiny details, while having high level structured memories for humans and agents, individually or as a company

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3s 4 hours ago | parent | prev [-]

I think this is true for some tasks where you want a clean slate, but increasingly I find myself constantly referencing specific skills, or having files with prompts I use all the time. I'd much rather have an agent that remembers things about me and specifics about my workflows and "taste" - of course having the ability to reset context sometimes or prune memory is valuable but I think the future of agentic AI is blocked on "omnipotent context"

	▲	apsurd 4 hours ago \| parent [-]
		Yeah there’s a need for the distilled learnings of all past hard earned insights. But i think much of the value is in the distillation. in my experience, even within a single project, the more agentic cycles, the more features and the more surface area the more cruft builds up. This is an obvious observation, but I suppose I’m at the point I think the move forward is to create a new project, keep only what worked from the preceding as modularized entities and intentionally wipe away all past of how we got there save for the API interface truths.