Claude Memory
31–40 of 326 posts
Re: Claude Memory
#32Earlier quoted context omitted.
Claude code has had this for a while (seems old news anyway). In my limited world it really works well, Claude Code has made almost no mistakes for weeks now. It seems to 'get' our structure; we have our own framework which would be very badly received here because it's very opinionated; I am quite against freedom of tools because most people cannot actually really evaluate what is good and what is not for the proble…
Are you sure? As far as I am aware CC does not have a memory system built-in, other than .md files.
Re: Claude Memory
#33I'm not sure I would want this. Maybe it could work if the chatbot gives me a list of options before each chat, e.g. when I try to debug some ethernet issues: Please check below: [ ] you are using Ubuntu 18 [ ] your router is at 192.168.1.1 [ ] you prefer to use nmcli to configure your network [ ] your main ethernet interface is eth1 etc. Alternatively, it would be nice if I could say: Please remember that I prefer t…
Perplexity and Grok have had something like this for a while where you can make a workspace and write a pre-prompt that is tacked on before your questions so it knows that I use Arch instead of Ubuntu. The nice thing is you can do this for various different workspaces (called different things across different AI providers) and it can refine your needs per workspace.
In Github Copilot's web chat it is personal instructions or spaces (Like perplexity), In CoPilot (M365) this is a notebook but nothing in the copilot app. In ChatGPT it is a project, in Mistral you have projects but pre-prompting is achieved by using agents (like custom GPT's).
These memory features seem like they are organic-background project generation for the span of your account. Neat but more of an evolution of summarization and templating.
Re: Claude Memory
#34I’ve used memory in Claude desktop for a while after MCP was supported. At first I liked it and was excited to see the new memories being created. Over time it suggests storing strange things to memories (an immaterial part of a prompt) and if I didn’t watch it like a hawk, it just gets really noisy and messy and made prompts less successful to accomplish my tasks so I ended up just disabling it. It’s also worth ment…
Then I also made an anti-memory MCP tool - it implements calling a LLM with a prompt, it has no context except what is precisely disclosed. I found that controlling the amount of information disclosed in a prompt can reactivate the creative side of the model.
For example I would take a project description and remove half the details, let the LLM fill it back in. Do this a number of times, and then analyze the outputs to extract new insights. Creativity has a sweet spot - if you disclose too much the model will just give up creative answers, if you disclose too little it will not be on target. Memory exposure should be like a sexy dress, not too short, not too long.
I kind of like the implementation for chat history search from Claude, it will use this tool when instructed, but normally not use it. This is a good approach. ChatGPT memory is stupid, it will recall things from past chats in an uncontrolled way.
Re: Claude Memory
#35"Before this rollout, we ran extensive safety testing across sensitive wellbeing-related topics and edge cases—including whether memory could reinforce harmful patterns in conversations, lead to over-accommodation, and enable attempts to bypass our safeguards. Through this testing, we identified areas where Claude's responses needed refinement and made targeted adjustments to how memory functions. These iterations he…
Re: Claude Memory
#36I don't use any of these type of LLM tools which basically amount to just a prompt you leave in place. They make it harder to refine my prompts and keep track of what is causing what in the outputs. I write very precise prompts every time. Also, I try not work out a problem over the course of several prompts back and forth. The first response is always the best and I try to one shot it every time. If I don't get what…
Re: Claude Memory
#37I don't use any of these type of LLM tools which basically amount to just a prompt you leave in place. They make it harder to refine my prompts and keep track of what is causing what in the outputs. I write very precise prompts every time. Also, I try not work out a problem over the course of several prompts back and forth. The first response is always the best and I try to one shot it every time. If I don't get what…
But I don’t have any habits around using subagents or lots of CLAUDE.md files etc. I do have some custom commands.
Re: Claude Memory
#38I don't use any of these type of LLM tools which basically amount to just a prompt you leave in place. They make it harder to refine my prompts and keep track of what is causing what in the outputs. I write very precise prompts every time. Also, I try not work out a problem over the course of several prompts back and forth. The first response is always the best and I try to one shot it every time. If I don't get what…
Yeah same. And I'd rather save the context space. Having custom md docs per lift per project is what I do. Really dials it in.
Re: Claude Memory
#39Re: Claude Memory
#40What is the easiest way for me to subscribe to a personal LLM that includes a RAG?