Wow another day, another memory system for AI agents!
How many are we up to now? Has to be hundreds of them.
Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
31–40 of 87 posts
Re: Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
#32I’m certainly on the lookout for something like this and I’m happy to see your account has published software from before the LLM boom as well. I guess I’d like some kind of LLM-use-statement attached to projects: did you use an LLM to generate this, and if so, how much and what stages (design, build, test)? How carefully did you review the output? Do you feel the quality is at least what you could have produced by y…
There are many ways to use an LLM to generate a piece of software. I base most of my projects these days around sets of Markdown files where I use AI first to research, then plan and finally track the progress of implementation (which I do step-wise with the plan, always reviewing as I go along). If I was asked to provide documentation for my workflow those files would be it. My code is 99% generated, but I take care…
Yep pretty much same, although if I’m lax at any point of the reviewing (in-progress or final), I’d say the quality quickly drops to below my average manual effort, and then I don’t even have the benefit of thinking it all through as directly. I think getting really quality results out of LLM code generation for non-trivial projects still needs quite a bit of discipline and work.
Re: Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
#33I’m certainly on the lookout for something like this and I’m happy to see your account has published software from before the LLM boom as well. I guess I’d like some kind of LLM-use-statement attached to projects: did you use an LLM to generate this, and if so, how much and what stages (design, build, test)? How carefully did you review the output? Do you feel the quality is at least what you could have produced by y…
What's the point? You can make good or bad software, with or without LLMs. Do you ask a carpenter if they use a hammer or nail gun? Did they only use the nail gun for the roof and the deck? If you care that much and don't have a foundation of trust, you need to either verify the construction is good, or build it yourself. Anything else is just wishful thinking.
It’s not all-or-nothing: a statement like what I want would be part of the assurance, not the whole thing.
Re: Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
#34this is a patch on top of the broken flat-compaction caching algorithm used by coding agents. Why not fix the cache algorithm directly? Union-find is a better impl june.kim/union-find-compaction
Re: Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
#35I clicked this thinking “oh, cool, someone finally made a portable version of the Claude.ai* memory system!” Spoiler, no, it’s not it at all, it’s just a “store”/“remember” memory system… as opposed to the Claude.ai memory system, where it doesn’t make the model actively have to write memories on its own, but rather has a model in the background go through your chat history and generate a summary from it. I’ve found…
I agree. silent agent doing agentic things async is what would be helpful, not requiring a modification to the main prompt
Re: Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
#36I clicked this thinking “oh, cool, someone finally made a portable version of the Claude.ai* memory system!” Spoiler, no, it’s not it at all, it’s just a “store”/“remember” memory system… as opposed to the Claude.ai memory system, where it doesn’t make the model actively have to write memories on its own, but rather has a model in the background go through your chat history and generate a summary from it. I’ve found…
I agree. silent agent doing agentic things async is what would be helpful, not requiring a modification to the main prompt
Yeah. The other advantage is a summary-based memory also just… “pieces together” things that a “store”/“remember” memory wouldn’t, because they’re things that the actual main agent would not think to store. i.e. small disconnected things across conversations that alone, would not end up in memory because they’re insignificant. But when there’s an agent looking at multiple conversations at once it can actually reason about this stuff and piece it together.
Re: Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
#37I clicked this thinking “oh, cool, someone finally made a portable version of the Claude.ai* memory system!” Spoiler, no, it’s not it at all, it’s just a “store”/“remember” memory system… as opposed to the Claude.ai memory system, where it doesn’t make the model actively have to write memories on its own, but rather has a model in the background go through your chat history and generate a summary from it. I’ve found…
That's an interesting concept.
So it's like if you're an agent chatting with a user, you have an army of assistants who overhear the conversation and record important facts, or search relevant facts on some database and decide on the fly when to interrupt you with "this memory X looks relevant". Sounds easy enough if tokens were free, but an interesting problem to do it efficiently.
Re: Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
#38Wow another day, another memory system for AI agents! How many are we up to now? Has to be hundreds of them.
its the todomvc of ai user. i made one for myself too. I try not to tell anyone about it .
Re: Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
#39is this backed by a hollywood celebrity ?
Re: Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
#40I clicked this thinking “oh, cool, someone finally made a portable version of the Claude.ai* memory system!” Spoiler, no, it’s not it at all, it’s just a “store”/“remember” memory system… as opposed to the Claude.ai memory system, where it doesn’t make the model actively have to write memories on its own, but rather has a model in the background go through your chat history and generate a summary from it. I’ve found…
I really want to try this approach. I'm curious because this has not been my experience at all. I created https://github.com/flippyhead/ai-brain mostly just for myself and a few friends use it. But so far, telling the AI (via CLAUDE.md) to look for relevant memories and to think about when and how to save them has worked very well. It can create structures based on decided priorities, notes for the future, that feel like they'd be very different if it was just trying to summarize everything.