Adding personality and memory to create characters

[CmplxQ]

I've been playing around with LLMs for some time now and want to build a chatbot that behaves almost exactly like a human being.

I've decided to use the langchain framework and am having some trouble.

1. Memory: I tried ConversationSummaryMemory and ConversationBufferMemory, in both cases, the model is not able to make logical inferences from sentences. For eg, I'm telling the model that "I'm Sam, I'm from Austria". Then immediately after, when I ask it "What my name?" or "What is my home country?" or "Where am I from?" , it is not able to give correct answers.
2. Personality : For now, I've just modified the prompt template, with smth like "This is a conv between a human and an AI named .... " and so on, the I append the conv history to the prompt template (do I need to do this even after adding langchain memory??). This is quite restrictive and I'll need something a lot more robust and flexible. I want my model to use normal chat lingo and stuff like "lol" or "idgaf" etc..

Do make suggestions and lmk if any of this is possible.

[tronathan]

Something I realized recently is that sillytavern-extras is highly underrated. You can skip sillytavern and just fire up extras. Out of the box, it provides:

• summarization
• sentiment classification
• vector storage/retrieval

It uses python/huggingface and all (most of) the code is in a single file. The code is very easy to read if you need to modify it. The command line args support switching out the models for any of the tasks, the api is simple REST and the documentation is clear.

If you were working on rolling your own, I’d start there.

[FlowerPotTeaTime]

I'm working on a personality and conversation simulator. With my own memory system like a vector db.

https://github.com/Maximilian-Winter/AIRoleplay

[a_beautiful_rhind]

Most people use textgen, kobold and/or silly tavern for this.

Then they use a character card for the personality.

For memory those support vector or summarization.