SillyTavern-Extras VS long_term_memory

As for SillyTavern, you need the main SillyTavern frontend and SillyTavern-extras (for TTS, STT, etc.) They're pretty easy to install. SillyTavern connects to oobabooga and SillyTavern-extras via API.

Sure, best bet is to follow the instructions on the ST extra's github. It gives a good step by step guide to setting up and running all the addon's. Here is a link in case you need it. https://github.com/SillyTavern/SillyTavern-extras

oobazz + SillyTavern

If you want the best roleplaying experience, I can only recommend SillyTavern with SillyTavern/SillyTavern-extras. The extras include summarization and ChromaDB, both helping to get longer and more coherent chats.

If you haven't already, I sugget you to instal SillyTavern Extra which you can add objective with task, character expression ( personally I generate expression with stable diffusion), and text to speech to diffrent character. You can also set a group scenario if you create group.

Instead, I use the summarize extension for SillyTavern, which is serviceable: https://github.com/SillyTavern/SillyTavern-extras

It doesn't have to be the end. Do what I'm doing and get SillyTavern, use their extension (for expressive sprites), open an OAI account, create some Umineko bots, import your own sprites, and start chatting with them. There's been a lot of advancements in AI visual novel tech. Here's me and the UI's creator in a 5-way group chat with the Quintessential Quintuplets.

The sillytavern-extras: https://github.com/SillyTavern/SillyTavern-extras Classify-extension handles expression, provided you have the pictures. The clever model mentioned in the readme can handle 28 different expressions. It evaluates *while generating* so it can change the pic of 'current speaker', so it'll change as speakers change. I've not spent much time with the group chat, so I never figured out how to do it like it was meant to. BTW, of extras, chromadb is cool, look into it.

what you're probably thinking of is this: https://github.com/wawawario2/long_term_memory

I do believe there are some proposed solutions in order to retain memories such as LTM or Long Term Memory. I think there are some extensions for ooba's webui that implements that. see: https://github.com/wawawario2/long_term_memory

If I understand correctly, one of the extensions you have enabled as an option for the gui to be able to select is the long_term_memory extension. That extension enables people to store in their conversations with the model into a long-term memory upon the next chat. I didn't know if you had a method that interfaced with that so that you could enable the long-term memory read or not. Here is where it explains how long_term_memory works: https://github.com/wawawario2/long_term_memory

I saw [this](https://github.com/wawawario2/long_term_memory) as a possible option, but now that I know about SuperBooga I am now not sure which would be better for my purposes.

I thought about Langchain, but it already does the functionality that we have built in which is.. just feed the context back to the model. What I am aiming to do.. is inject relevant memories with the combined text and mix it with the prompt. So the responses will be very fine tuned to the prompt itself based on the context/and memory! so when you say prompt something and it has a memory.. it will take the memory + prompt and the context of the conversation and give a very fine tuned response. https://github.com/wawawario2/long_term_memory

Is this going to function at all similarly to https://github.com/wawawario2/long_term_memory ?

There is the long term memory extension that might assist with this. I found out about it though and haven't gotten it to load successfully yet.. https://github.com/wawawario2/long_term_memory